Software Engineer, Bespoke Development

iOS Software Engineer

Solution Architect

Lead, Data Engineering

Data Analyst (1 year contract)

Sr Manager_ Lead Data Architect

Regional Data Engineer

Software Engineer, Cross Commodity Front Office

Downstream Data Scientist

Senior Data Scientist

Overview: <ul><li>Traders and analysts at the company are developing strategies, models and analytics using a variety of modern techniques and technologies.&nbsp;</li><li>This role will complement and augment such work by developing robust, supportable, and architecturally aligned systems, frameworks, and infrastructure.</li><li>The company requires an experienced software engineer to work alongside traders and analysts to specify, design and develop systems to, for example:</li><li>Optimise trading portfolios;</li><li>Augment trading decisions with signals derived from data analytics;</li><li>Source market and fundamental data;</li><li>Store data for future consumption;</li><li>Back test new trading strategies</li></ul>&nbsp;Responsibilities: The Software Engineer will: <ul><li>Embed themselves within business teams to identify opportunities to apply IT solutions to their problems.&nbsp;</li><li>Work collaboratively and iteratively directly with traders and analysts to formulate, analyse and manage an agreed backlog of such opportunities.</li><li>Have a strong engineering focus and eye for high quality delivery.&nbsp;</li><li>They will be expected to build robust, high-quality systems using modern software engineering techniques including automated unit/integration testing, continuous integration and automated deployment.&nbsp;</li><li>They must also be driven to automate everything as this is ingrained in the culture of the rest of the team.</li><li>Work on a mixture of system types such as web applications, real-time data processors, data analytics/visualisations and data integrations.&nbsp;</li><li>Work on a variety of different IT project styles including green-field, brown-field, prototypes and the industrialisation of systems developed by the front office.</li><li>Take ownership of their own learning to gain a deep understanding of how company’s business teams operate and how the full transaction cycle within a multi-commodity energy trading environment works.&nbsp;</li><li>This is essential to facilitate direct communication with users and other stakeholders with minimal hand-holding from Business Analysts.</li><li>Putting together fit-for-purpose technical architectures for the business problems being solved and then ensuring that those solutions are delivered accordingly.</li><li>Provide 3rd line production support for systems developed</li><li>Be expected to take ownership of the architecture of any systems developed and in choosing an appropriate technology stack.</li><li>Prevent the development of a fragmented application estate by ensuring that solutions form part of a coherent strategy across the organisation.&nbsp;</li><li>Contribute to the development and maintenance of this technical strategy that balances the need for innovation in new technologies and ideas with the need to build robust and supportable solutions.</li><li>Contribute to the definition and evolution of software development and engineering standards and practices aimed at creating a software estate of high quality and consistency.</li><li>Contribute to the definition and evolution of processes that can tailor the delivery methodology of software programmes to their specific requirements for TTM, TCO, predictability, risk, change tolerance and innovation.</li><li>Work closely with other IT stakeholders to ensure that solutions are in alignment with IT strategy around business architecture, infrastructure architecture and technology.</li><li>Work with the IT Operations/Infrastructure team to deploy solutions into company’s IT infrastructure in a sustainable way.</li><li>Work with other IT stakeholders to ensure that there is excellent continuity of knowledge.&nbsp;</li><li>This may mean writing documentation or taking part in handover workshops.</li><li>Work closely with Data Scientists or Quantitative Analysts, who will be designing, developing and implementing the underlying analytic models in Python, to write the framework in which they can easily plug-in their models.</li><li>Work with a Business Analyst and UX specialist, who will be jointly responsible for working with the traders to define what the system should do and how the user interface should align with their trading workflow.</li></ul> Requirements: Candidates must have/be: <ul><li>Expert knowledge of the modern web development ecosystem and highly productive in technology stacks such as Angular or React</li><li>Expert with the .NET framework (C# .NET / .NET Core, WCF/gRPC or ASP.NET Core Web API) for tackling larger scale problems such as service development and real-time data processing.</li><li>A strong working knowledge of Python; however, it is more important to have an understanding of the limitations of the Python ecosystem and when other technologies are more appropriate.</li><li>Strong experience of service-oriented programming</li><li>Extensive experience with from-scratch database design (both relational and non-relational)</li><li>Be comfortable with agile delivery modes such as Scrum or Kanban but should also be flexible to work with whichever delivery approach works best for the business stakeholders.</li><li>Ability to architect and design solutions using the following techniques:</li><li>Data modelling (Expert level relational data modelling, Data warehouse modelling)</li><li>Distributed Messaging Systems</li><li>Service Oriented and Microservices Architecture (Understanding of REST and RPC styles)</li><li>Domain Driven Design</li><li>N-tier and Client-Server Architecture</li><li>Business Intelligence Architecture (ETL, ELT)</li><li>System decomposition (functional, object-oriented, service-oriented)</li><li>SOLID principles</li><li>Good coverage of software development tools:</li><li>Source code management (Azure Devops, Git)</li><li>Scripting and Automation (PowerShell, DSC)</li><li>Build and Release Management (Azure Devops Pipelines, Azure Devops Release Manager)</li><li>Test Automation (Unit testing tools, Cucumber/SpecFlow)</li><li>Cloud PaaS and IaaS (Azure)</li><li>Experience developing containerised microservice architectures using technologies such as Docker and Kubernetes.</li><li>It is highly desirable that candidates have experience in data visualisation technologies such as Tableau or Power BI.</li></ul> Personal Specification <ul><li>The ideal candidate will have an interest in data science/ data engineering and/or will have worked in a decision support development role for a commodity trading team.</li><li>It is most important that the candidate has the ability and desire to rapidly pick up a diverse range of technical skills to support challenges as they arise. Support, resources and technical mentoring will be provided by company as required.</li><li>Highly motivated to deliver results and ‘go the extra mile’ to meet deadlines.</li><li>Able to multi-task with minimal supervision and highly structured and organised in the way tasks are approached.</li><li>Excellent communication skills.&nbsp;</li><li>Strong academic background, educated to degree level and/or equivalent professional qualification or relevant business experience.</li></ul>

Responsibilities: <ul><li>iOS Software Engineer role will be part of the Consumer Engineering Team, who is responsible for creating quick prototypes and executing high visible projects by collaborating with various teams.</li><li>responsible for developing applications for mobile devices operating systems.</li><li>Provide support across the end-to-end delivery and run lifecycle&nbsp;</li><li>Carry out software development, testing and operational support activities with the ability to move between the technology stack.</li><li>Keep up to date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency</li></ul> Requirements: <ul><li>We are seeking candidates with strong experience in mobile development and problem-solving and experience building iOS apps using Swift, MVVM architecture.</li><li>Understand the SOLID principles of Software Development.</li><li>Ability to test the code using XCTest.</li><li>Knowledge of Git version control system.</li><li>Strong fundamentals of computer science such as Data Structures and Algorithms.</li><li>Experienced with System Design.</li><li>Expert knowledge of Swift, UIKit and Grand Central Dispatch</li><li>Knowledge of Multithreading, MVVM architecture, API integration and Testing (both Unit and UI Tests using XCTest framework)</li><li>Knowledge of using Instruments for debugging and optimization.</li></ul>

Role: <ul><li>Solution Architect role within companys Global Products &amp; Solutions (GPS) organization to assess, design, develop, build, and validate industrial ethernet network and/or digital automation network design projects.&nbsp;</li><li>With in-depth technology knowledge about solutions, Solution Architect is expected to lead the effort in developing use cases and best practices in a multitude of customer industries and applications.&nbsp;</li><li>Innovation and sharing technology insights both internally and externally is part of their daily tasks.</li></ul> Responsibilities: <ul><li>Evaluate customer/partner industrial network and/or digital automation network design requirements.</li><li>Provide feedback and guidance for greenfield and brownfield network project designs.</li><li>Communicate with key internal and external project stakeholders to develop overall solutions incorporating technologies.</li><li>Develop standard practices and common designs for use cases utilizing technologies.</li><li>Support sales and solution consultant teams in the development of technical designs to meet customer requirements.</li><li>Document and visualize industrial network and/or digital automation network designs in the forms of design prerequisites, topology drawings, reports, configuration procedures, performance metrics, and demonstrations.</li><li>Validate designs in Customer Innovation Center (CIC) lab with GPS team including validation of technology with third party products.</li><li>Stay apprised and educated on industry standards, best practices, and emerging technologies that influence future design innovation.</li><li>Report projects and customers’ feedback to Sales, Product Management, and Engineering/R&amp;D</li></ul> Requirements: <ul><li>Education – Engineering Graduate with focus on IT or Process Automation</li><li>Experience – 6-10+ years of experience in Industrial Network engineering, design, and implementation.</li><li>Customers Define Our Success – Invests in understanding the customers’ needs (internal and external) and puts actions in place to meet and where possible exceed these expectations.&nbsp;</li><li>Always focuses on “what are customers’ technology requirements”.</li></ul>

Responsibilities: <ul><li>Translate business requirements to responsive functional web solutions.&nbsp;</li><li>This includes designing and building APIs, front-end interfaces and scalable tools that ingest and transform real-time data using a variety of open-source and proprietary big data technologies.</li><li>Recommend and implement ways to improve data reliability, efficiency and quality</li><li>Work closely with stakeholders to ensure high standards of data governance during implementation</li><li>Serve as technical subject matter expert on the latest big data technologies</li></ul> Requirements: <ul><li>Hands-on proven track record in developing products from front-end interface, middle-tier, to backend infrastructure</li><li>7+ years of superior experience developing commercial web-based applications</li><li>4+ years of full-stack web development experience in Javascript (node.js and React framework)</li><li>Proficiency in SQL is mandatory</li><li>Excellent scripting knowledge in Python, Shell etc</li><li>Those with strong production experience in Scala or Spark programming languages will be considered favourably</li><li>Relevant experience in web, video, mobile or adtech domain is a definite plus</li><li>Demonstrated clear and thorough analytical thinking</li><li>Good eye for aesthetics and an attention to detail</li><li>A proven team player and contributor who can multi-task and deliver against timelines</li><li>Minimum degree in Computer Science/Engineering, or equivalent</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

ROLE &amp; RESPONSIBILITIES: The lead data architect is expected to play a pivotal role in architecting and operationalizing the most-urgent data and analytics requirements for AMEA’s digital business initiatives. The lead data architects primary work would be in reviewing, managing and optimizing data pipelines and then approving migration of these data pipelines effectively into production for key data and analytics consumers (business/data analysts and data scientists). The ideal candidate would be an experienced data architect and pipeline builder who enjoys optimizing data systems and building them for future scalability and growth. S/he will be the custodian of data &amp; analytics solutions for AMEA on the global Data &amp; Analytics platform. The lead data architect will be the key interface in operationalizing data and analytics on behalf of the business units and organizational outcomes. This role will require both creative and collaborative working with IT and the wider business functions. S/he must have significant business knowledge and have good technical knowledge including security and applications. Purpose of the Role: <ul><li>Leads, consults, or oversees multiple engagements.</li><li>Viewed as an expert and provides knowledge and counsel to others.</li><li>Works on highly complex projects that require in-depth knowledge within a domain.</li><li>Leads a team of data engineers.</li><li>Builds strong working relationship with global, regional and BU teams.</li></ul> &nbsp;EXPECTATION FROM THE ROLE: Architecture Expertise: Leads and coordinates the domain technical and business discussions relative to architecture of application for business requirement. Participates in enterprise data &amp; analytics strategy development, including environmental analysis,opportunity identification, value cases and business innovation portfolio development. Contributes to the IT strategy and ensures alignment with architectural strategy and business goals. Governance:<ul><li>Participates in the Data &amp; Analytics and Enterprise Applications Governance process. Leads and facilitates the domains architecture governance process based on EAs governance structure. Reviews and approves recommendations, for discussion with EA, to architectural standards at a domain level.</li></ul> Consulting:<ul><li>Provides strategic consultation to business and IT teams. Participates in quality reviews and provides feedback. Advises on options, risks, costs versus benefits, system impacts, and technology priorities.</li><li>Works with business leaders to understand business requirements and help them understand how technology trade-offs influence strategy.</li></ul> Oversight:<ul><li>Coordinates architecture implementation and modification activities. Assists in post-implementation continuous-improvement efforts to enhance performance and provide increased functionality.</li><li>Ensures the conceptual completeness of the technical solution.</li><li>Works closely with project management to ensure alignment of plans with what is being delivered.</li></ul> Build data pipelines:<ul><li>Manages delivery of data pipelines through DE or consultants. Consisting of series of data flow stages: from data sources or endpoints of acquisition to integration to consumption for specific use cases.</li><li>The data architect would be responsible for working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production using SAP BODS, MS SQL, SSIS, APIs, etc.</li></ul> Drive Automation through effective metadata management:<ul><li>The role will be responsible for using innovative and modern tools and techniques to automate data preparation and integration tasks.</li><li>The role will provide an oversight to low code and no code project and will be an advocate for adoption and continuous improvement.</li></ul> Collaborate across departments:<ul><li>The role will work in close relationship with data science teams and with business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements</li></ul> COE:<ul><li>Establish center of excellence to train/upskill AMEA IT team on Kortex tools and services. Provides leadership, technology guidance and mentors others throughout their domain.</li></ul> &nbsp;IT FUNCTIONAL COMPETENCIES: Innovation (Advanced):<ul><li>Challenges conventional thinking and traditional ways of operating and invites stakeholders to identify issues and opportunities.</li><li>Helps others overcome resistance to change. Seeks out opportunities to improve, streamline, reinvent work processes.</li><li>Explores numerous potential solutions and evaluates each before accepting any, as time permits. Maintains balance between innovation and pragmatism when determining the practical application of new ideas.</li><li>Makes lots of proposals, builds on others’ ideas.</li><li>Sees opportunities, open-minded. Develops new products or services, methods, or approaches.</li><li>Develops better, faster, or less expensive ways to do things. Fosters a non-judgmental environment that stimulates creativity.</li></ul> Business Function Knowledge (Advanced):<ul><li>Engages business and technical leaders in the identification of medium-term business solutions consistent with best practices for cross- functional implementation.</li><li>Sets the direction for and steers medium-term enhancements</li><li>of integrated standards and significant business performance drivers across multiple areas of responsibility.</li></ul> Business Enterprise Knowledge (Advanced):<ul><li>Has a deep understanding of multiple, major components of the business enterprise.</li><li>Understands the present state of the business and able to identify target markets, pricing structures and competition.</li><li>Identifies specific markets, trends, technologies, and economies that directly impact the business and makes recommendations for improvement based on research findings. Directs and coordinates the development and implementation of process-based solutions that cross organizational lines.</li><li>Creates business case for investments in process and technological enhancements. Sets clear explanations for the integration and alignment of technology and business functions, focusing on the strategic value provided.</li></ul> Analytical Thinking (Advanced):<ul><li>Determines criteria for assessing issues and opportunities.</li><li>Establishes clear goals and priorities needed to assess performance. Identifies relationships and linkages between different information sources.</li><li>Anticipates issues that are not readily apparent on the surface. Identifies root causes and effects. Establishes clear goals and priorities.</li><li>Anticipates potential problems and develops solutions needed to resolve them. Systemically analyzes relationships between apparently independent problems and issues.</li><li>Reviews and cross-reviews reports. Identifies trends as well as isolated events. Translates analytical reports into management presentations and provides guidance to resolve issues. Anticipates the possible outcome of potential solutions.</li><li>Identifies areas of significant concern or opportunity.</li><li>Probes and initiates research to identify critical problems. Planning &amp; Organizing (Advanced): Instils in others the importance of planning and producing high quality, timely work. Manages projects and presides over meetings so that they are producing expected outcomes.</li><li>Plans for allocation of resources consistent with unit goals. Creates and implements a strategy for supporting current and future business needs.</li></ul> Results Orientation (Advanced):<ul><li>Sets medium-term goals and objectives that enhance the performance of groups and processes. Sustains operational performance and simultaneously anticipates the needs of the organization, taking preemptive action to avoid</li><li>potential problems.</li></ul> Strategic Thinking (Advanced):<ul><li>Takes a systems perspective that inter-relates internal and external factors for planning.</li><li>Envisions, compares and contrasts multiple potential medium, range operational futures. Partners with business peers in defining strategic initiatives for a business area.</li><li>Identifies planning assumptions.</li><li>Contributes to the development, research and testing of hypotheses. Creates and explores potential scenarios. Identifies trends. Applies creativity and critical analysis in creating functional commitment for new objectives. Resolves issues related to strategy implementation.</li></ul> Communications for Results (Advanced):<ul><li>Converses with, writes reports and creates/delivers presentations to all levels of colleagues and peer groups in ways that support problem solving and planning.</li><li>Seeks a consensus with business partners. Debates opinions, tests understanding and clarifies judgments. Brings conflict into the open empathetically.</li><li>Explains the context of multiple inter-related situations, asks searching, probing questions, and solicits expert advice prior to taking action and making recommendations.</li></ul> Grow &amp; Develop (Advanced):<ul><li>Promotes and encourages learning and development throughout all levels of the organization. Invests in employees by sharing knowledge, expertise and providing timely feedback and coaching.</li><li>Sets an inspiring example of the ideal learning and development practices. Drives and supports growth by holding others accountable for individual development.</li></ul> Consulting (Advanced):<ul><li>Leads research and summarizes requirements for the engagement. Interprets issues within the framework of core business processes.</li><li>Provides substantiated, risk-assessed options and counsel in relation to process enhancement and professional expertise. Facilitates dialogues that produce new perspectives and trigger recommendations for substantial innovative enhancements, and analysis of consequences.</li></ul> Work is performed in from home office and occasional work from office.<ul><li>Role is in India.</li><li>Some international travel is required.</li></ul> This position requires regular attendance and punctuality in accordance with Company policies. Additionally, the ability to interact well with other employees and work overtime, as necessary, is required. &nbsp;QUALIFICATION: <ul><li>Should be an expert in defining the solution architecture on global Data &amp; Analytics platform (Kortex/ CDP) to deliver an application that would meet the business need.</li><li>Must have supervised or developed end to end custom applications.</li><li>Should have good understanding of business processes.</li><li>Drive Automation through effective metadata management.</li></ul> Education and Training <ul><li>Bachelors or masters degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required.</li></ul> Previous Experience <ul><li>At least ten years or more of work experience in data management disciplines including solution architecture, D&amp;A platform setup, data integration, modelling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.</li></ul> Technical Knowledge &amp; Skills <ul><li>Strong leadership skills.</li><li>Requires advanced or expert level knowledge and understanding of architecture, application design, systems engineering and integration.</li><li>Requires exposure to multiple, diverse technologies and processing environments. Strong experience with relational SQL, SAP BODS (preferred skill), SAP HANA(preferred skill)</li><li>Strong experience with Hadoop, Spark, Kafka, Hive, NiFi Big data technologies (preferred skill), python, etc.</li><li>Strong experience in AWS services, PBI, Power Apps and Tableau</li><li>Strong ability to provide direction to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.</li><li>Familiarity with agile methodologies and capable of applying DevOps and increasingly Data Ops principles to data pipelines.</li></ul> &nbsp;Key Relationships <ul><li>Reports To: Head of Data &amp; Analytics.</li><li>Primary support to: AMEA function leaders and BU analytics leads.</li><li>Supervises: Data engineers and external consultants.</li></ul>

Overview: <ul><li>Full stack data engineer is expected to play a pivotal role in operationalizing the most-urgent data</li><li>and analytics requirements for our client AMEAs digital business initiatives.</li><li>The primary work would be in managing and developing data pipelines, data models and data visualizations for key dataand analytics consumers (business/data analysts and data scientists).</li><li>The ideal candidate would have 8-10 years of experience in data engineering and visualization,</li><li>individual enjoys building data systems and designing them for future scalability and growth.</li><li>This role will be the key interface in operationalizing data and analytics in partnership with business units.&nbsp;</li><li>This role will require both creative and collaborative working with IT and the wider business functions.</li></ul> Responsibilities: Governance:&nbsp; <ul><li>Participates in the Data &amp; Analytics and Enterprise applications Governance process.</li></ul> Consulting:&nbsp; <ul><li>Provides strategic consultation to business and IT teams.&nbsp;</li><li>Participates in quality reviews and provides feedback.&nbsp;</li><li>Works with business leaders to understand business requirements and help them understand how technology tradeoffs influence strategy.</li></ul> Oversight:&nbsp; <ul><li>Assists in post-implementation continuous-improvement efforts to enhance performance and provide increased functionality.</li><li>Ensures the conceptual completeness of the technical solution.&nbsp;</li><li>Works closely with project management to ensure alignment of plans with what is being delivered.</li></ul> Build data pipelines:&nbsp; <ul><li>Delivery of data pipelines.&nbsp;</li><li>Consisting of series of data flow stages: from data sources or endpoints of acquisition to integration to consumption for specific use cases.</li><li>Data Visualization: Creation of effective dashboards following the process of design, POC</li><li>(wireframe), development, deployment, and continuous improvement.&nbsp;</li></ul> Data Analysis &amp; Governance:&nbsp; <ul><li>Analyze large datasets to identify trends, patterns, and insights. Design and develop interactive dashboards and reports using data visualization tools like Tableau, Power Bl, etc. Convert complex data into easily understandable formats for non-technical audiences.</li><li>Combine data from various sources to provide a comprehensive view for better decision-making. Ensure the accuracy and integrity of data used for visualizations.</li></ul> Collaborate across departments:&nbsp; <ul><li>The role will work in close relationship with business, BU IT and business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements. Work closely with data analysts, data scientists, and stakeholders to ensure visualization meets functional and aesthetic requirements.</li><li>Work is performed in from home office and occasional work from office.</li><li>Design, build, and maintain scalable and robust ETL pipelines.</li><li>Develop data architecture and models to support real-time and batch data processing.</li><li>Optimize database queries and implement solutions for high-performance requirements.</li><li>Design, implement, and manage robust, scalable solutions on AWS, specifically leveraging</li><li>Clue, S3, Redshift, Lambda, EventBridge, and Step Functions.</li><li>Utilize AWS Lambda and EventBridge for event-driven architecture.</li><li>Use Step Functions for orchestrating distributed applications and microservices.</li><li>Design and implement complex SQL queries for analytics and data manipulation.</li><li>Create normalized and denormalized models depending on use-case requirements.</li><li>Optimize query performance through indexing, partitioning, and other database techniques.</li><li>Develop scalable and maintainable Python code for data processing, API interactions, and business logic.</li><li>Requires exposure to multiple, diverse technologies and processing environments</li></ul> Requirements: <ul><li>At least 8-10 years or more of work experience in data management disciplines including solution architecture, data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.</li><li>A bachelors or masters degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required.</li><li>Some international travel is required.</li><li>Knowledge, Skills and Experience</li><li>Should have good understanding of business processes</li><li>Strong experience with relational SQL, SAP BODS, SAP ERP (ECC/HANA)</li><li>Strong experience in AWS services, PBI, Power Apps and Tableau</li><li>Strong ability to provide direction to design, build and manage data pipelines for data</li><li>structures encompassing data transformation, data models and schemas</li><li>Education and Training</li><li>UX/UI skills would be an added advantage.</li></ul>

Responsibilities: <ul><li>Embed within company’s Cross Commodity Trading team, working closely with a small team of traders and analysts to collaborate on iterative development of their software.</li><li>Engage in diverse projects involving a range of system types, including web applications, real-time data processors, data analytics/visualisations, and data integrations.&nbsp;</li><li>You will use a variety of IT project styles, such as green-field development, brown-field enhancement, and prototyping.</li><li>Take ownership of your own learning to develop a deep understanding of companys business teams, including the transaction lifecycle, and trading and risk management approaches within a multi-commodity energy trading environment.&nbsp;</li><li>Take ownership of the entire software delivery lifecycle, from problem formulation to operational support, encompassing analysis, prioritisation, architecture, design, development, and testing.</li><li>Demonstrate a strong engineering focus and a keen eye for high-quality delivery, while balancing competing factors such as time constraints, risks, and costs within our fast-paced, results-driven trading environment.</li><li>Develop purpose-driven technical architectures, taking ownership of system architecture and technology selection to deliver solutions that align with business needs and balance innovation with the need for robust and supportable solutions.&nbsp;</li><li>You will then ensure coherence and adherence to architectural designs throughout the development process.</li><li>Build robust systems using modern software engineering techniques pushing to automate processes to ensure efficiency and maintain quality and productivity; including automated unit/integration testing, continuous integration, and automated deployment.</li><li>Collaborate closely with IT stakeholders to ensure alignment with the overall IT strategy, encompassing business architecture, infrastructure architecture, and technology.</li><li>Provide support for systems developed, actively resolving any issues that arise, and ensuring the smooth operation and availability of critical applications.</li><li>Collaborate with the IT Operations/Infrastructure team to deploy solutions into companys IT infrastructure in a sustainable manner, considering factors such as scalability, security, and performance.&nbsp;</li><li>Your solutions will achieve efficient and seamless integration with existing systems and infrastructure.</li><li>Support the continuous improvement of the Bespoke Development Team by contributing to team meetings and technical workshops, and providing adhoc help and advice to software engineers embedded in other business teams where you have relevant experience.</li><li>Ensure continuity of knowledge by working closely with other IT stakeholders.&nbsp;</li><li>This may involve writing comprehensive documentation that captures system configurations, processes, and troubleshooting guidelines.&nbsp;</li><li>Additionally, you will participate in handover workshops to effectively transfer knowledge and ensure a smooth transition during team changes or project handovers.</li></ul> Requirements: <ul><li>As a Software Engineer at company, you must have the following experience:</li><li>Familiarity with the mechanics of financial markets, preferably with a focus on commodities, ideally through direct experience in building software for a front office trading team.</li><li>Proficiency in the Python ecosystem, demonstrating in-depth expertise in data processing, analysis and visualisation libraries, as well as its broader frameworks for addressing large-scale problems such as API/service development and real-time data processing.&nbsp;</li><li>Experience with multithreading/ multiprocessing libraries and vectorization techniques would be a plus.&nbsp;</li><li>Note that Candidates with an equivalent level of knowledge in .NET or Java but possessing a strong desire to immerse themselves in the Python ecosystem will also be considered.</li><li>Expert-level knowledge of the modern web development ecosystem and able to demonstrate strong productivity in technology stacks like React or Angular for delivering robust and efficient web applications.</li><li>Familiarity with a range of software development tools, such as source code management (e.g. Azure DevOps, Git), build and release management (e.g. Azure DevOps Pipelines) and test automation (e.g. unit testing tools, BDD tools like Cucumber/Gherkin)</li><li>Familiarity with cloud PaaS and IaaS (e.g. Microsoft Azure), and experience in developing containerized microservice architectures using technologies like Docker and Kubernetes.</li><li>Familiarity with at least one type of DB technology (SQL Server, Mongo DB etc)</li><li>It is highly desirable for candidates to have experience in data visualisation technologies such as Tableau or Power BI, as well as data engineering technologies like DataBricks or Apache Spark.</li><li>This knowledge is crucial for facilitating direct communication with users and stakeholders, minimizing the need for constant guidance.</li></ul> Person specifications <ul><li>The ideal candidate will have prior experience in a decision support software engineering role within a commodity trading organization.&nbsp;</li><li>They should possess a strong interest in the trading domain and be eager to make the most of the opportunities our role offers by immersing themselves in the activities of an innovative, results-driven, fast-paced trading team.</li><li>The candidate must possess the ability and motivation to quickly acquire a diverse range of technical skills and then use them to tackle challenges as they arise.&nbsp;</li><li>The company will provide support, resources, and technical mentoring to facilitate the candidates skill development as required.</li><li>Excellent communication skills.</li><li>Self-starter, highly motivated, adaptable, accountable.</li><li class="ql-align-justify">Strong academic background, educated to degree level and/or equivalent professional qualification or relevant business experience.</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul>

Responsibilities:<ul><li>Serve as the primary source of data insights supporting internal and external constituencies</li><li>Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.</li><li>Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.</li><li>Institute and adopt best practices in data science, platforms, and approaches.</li><li>Establish internal organizational standards and benchmarks.</li><li>Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.</li><li>Become an internal authority on data tools and resources</li><li>Support ad-hoc business intelligence and other strategic initiatives</li></ul>&nbsp;Requirements<ul><li>PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.</li><li>Minimum 5 years of hands-on experience in data science, including developing and production rising data science models</li><li>Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).</li><li>Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders</li></ul>

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Data Analyst (1 year contract)

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Regional Data Engineer

Software Engineer, Cross Commodity Front Office

Downstream Data Scientist

Senior Data Scientist

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349 data architecture Jobs found

Software Engineer, Bespoke Development

iOS Software Engineer

Solution Architect

Lead, Data Engineering

Data Analyst (1 year contract)

Sr Manager_ Lead Data Architect

Regional Data Engineer

Software Engineer, Cross Commodity Front Office

Downstream Data Scientist

Senior Data Scientist

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