Senior Business Intelligence Analyst

Salesforce Developer

Associate Data Engineer

Senior - Data Engineer

C# Developer (SSE)

Docusign Developer

Strategic Sales Manager

Digital Factory Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Solution Engineer - Security

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Responsibilities <ul><li>Collaborate with Product Managers and cross-functional teams to understand business requirements and translate them into technical solutions on the Salesforce platform.</li><li>Design, develop, and implement custom Lightning Web Components (LWC) on the client-side and leveraging object-oriented design principles and best practices for back-end.</li><li>Create and maintain Apex classes, triggers, and other Salesforce development artifacts.</li><li>Customize and extend standard Salesforce functionality to meet unique business needs.</li><li>Troubleshoot and resolve issues for our Salesforce end users while identifying any root cause problems to prevent future issues.</li><li>Develop, maintain, and extend integrations built on the Force.com platform.</li><li>Collaborate with front-end components to integrate Salesforce applications with external systems and web services.</li><li>Perform unit testing, code reviews, and participate in the overall quality assurance process.</li><li>Apply solid understanding and working knowledge of modern JavaScript for Lightning Web Components to solve for complex business needs.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, Information Systems or related field</li><li>Salesforce Certified (e.g., Platform Developer I, Platform Developer II, JavaScript)</li><li>2+ years of experience with SF Command Line tooling, Git, and VS Code</li><li>2+ years of experience with Apex, Visualforce, and other Salesforce development technologies</li><li>2+ years of Proven experience as a Salesforce Developer with a focus on Lightning Web Components (LWC)</li><li>3+ years of experience and strong proficiency in object-oriented design principles and hands-on experience in applying them to Salesforce development.</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

Responsibilities: <ul><li>Uses a set of tasks and techniques to work as a liaison among and elicit the needs of stakeholders to define and validate solutions that meet business needs, goals, or objectives.</li><li>Analyzes and synthesize information elicited from stakeholders, defines, and manages the plan to deliver requirements and documents, and manages requirements throughout the project life cycle.</li><li>Develop ETL (Extract, transform, load) process to help extract and manipulate data from multiple sources.</li><li>Reformulating or automating the existing data workflows to maximize their functioning and greater scalability.</li><li>Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and produce actionable business insights out of it.</li><li>Need to conduct complex data analysis and improve data quality and efficiency.</li><li>Develop models to create reporting infrastructure/dashboards for business process management and data mining.</li><li>Design Summary, Detail, and Dashboard reports and management summaries which present data findings in a professional, concise, and readable format appropriate for content and audience.</li><li>Solve ad-hoc requirements of Management related to data for critical decision making</li><li>Troubleshoot data inaccuracies, identify root causes, and take corrective action</li><li>Effectively communicate and translate quantity findings (Storytelling with data) inclusive of key insights and actionable recommendations to optimize performance</li><li>Optimize reports to ensure a responsive solution when visualizing vast amounts of data.</li></ul> Requirements: <ul><li>5+ years of data engineering experience in ETL design, development, optimization &amp; testing using, Alteryx, Data Bricks, Cloud AWS Services, Python, SQL scripts,</li><li>5+ years of hands-on experience in business intelligence and in configuring, designing, and building visualizations and dashboards using Tableau and other BI tools (Tableau Prep, Tableau Dashboard, Tableau Server, Business Objects, Power BI, etc.)</li><li>Excellent problem-solving, communication, and organizational skills.&nbsp;</li><li>Experience in performance tuning and optimization of ETL processes to enhance efficiency and minimize data processing time</li><li>Detail-oriented with excellent time management and organizational skills to meet a critical deadline</li><li>Self-motivated, ability to prioritize work and multi-task across many assignments in a fast-paced work environment</li><li>Collaborated with cross-functional teams to gather requirements, design data models, and implement scalable data architectures to support business analytics and reporting needs</li><li>Proven ability to work independently and with a team.</li><li>Ability to interpret technical or dashboard structure</li><li>Experience in business domains – supply chain, pricing, sales &amp; marketing, sales, finances</li></ul>

Responsibilities: <ul><li>Develop distributed system architecture and system integration&nbsp;&nbsp;</li><li>Design event-driven applications leveraging microservices architecture on cloud platform&nbsp;</li><li>Carry out Model and assess complex IT solutions&nbsp;&nbsp;</li><li>Work closely with platform engineers and other IT professionals to choose compatible design solutions&nbsp;</li><li>Manage and comply with release management process&nbsp;</li><li>Analyze the scope and expected organizational impact of information systems&nbsp;</li><li>Evaluate existing systems and provide advice on how to meet organizational requirements&nbsp;</li><li>Ensure that the technical components of the project are in sync with the business needs of the organization&nbsp;</li><li>Ensure that information systems are secure from threat&nbsp;</li><li>Provide advice on project design, project costs, and expected benefit&nbsp;</li><li>Identifies technical debt and proactively recommends alternatives or improvements&nbsp;</li></ul> Requirements: <ul><li>University degree in Computer Science, Computer Engineering or related subjects preferred&nbsp;&nbsp;</li><li>8+ years of work experience building applications&nbsp;</li><li>Advanced understanding of IT infrastructure and enterprise architectures&nbsp;</li><li>Proven experience with microservices-based architecture&nbsp;</li><li>Proficiency in coding with modern programming languages such as C#, Python, or Node.js&nbsp;</li><li>API-first development experience&nbsp;</li><li>Experience with Cloud Computing (Azure preferable)&nbsp;</li><li>Extensive expertise in any modern document-oriented database, with a preference for MongoDB&nbsp;</li><li>Experience in developing components for Event-Driven Architecture, with a minimum of production-level experience using Event Hubs or Event Grid (or similar technologies like Kafka)&nbsp;</li><li>Experience working in an agile environment with a focus on engineering practices like testing, continuous integration, etc.&nbsp;</li><li>Good knowledge of virtualization&nbsp;&nbsp;</li><li>Analytics mindset with critical thinking and problem-solving skills&nbsp;</li><li>Fine knowledge of industry trends and emerging technologies&nbsp;</li><li>Fluent in English&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain integrations with DocuSign CLM+ and eSignature APIs.</li><li>Implement and customize contract lifecycle management workflows.</li><li>Develop robust backend components using Java and C# to support business logic and integrations.</li><li>Work with XML and XSLT for document transformations and data interchange.</li><li>Build and manage stored procedures, packages, and triggers using Oracle PL/SQL.</li><li>Utilize Eclipse for Java development and Visual Studio for C# development.</li><li>Configure and support CI/CD pipelines using Azure DevOps.</li><li>Collaborate closely with business analysts, architects, QA, and infrastructure teams.</li><li>Troubleshoot and resolve integration and application issues across environments.</li><li>Create and maintain technical documentation and contribute to best practices.</li></ul> Requirements: <ul><li>8+ years of experience in enterprise application development.</li><li>Proficiency with DocuSign CLM+ (contract templates, workflow design, API integration).</li><li>Strong experience with DocuSign eSignature API and embedded signing flows.</li><li>Solid programming skills in Java and C#.</li><li>Expertise in XML and XSLT for document parsing and transformation.</li><li>Strong knowledge of Oracle Database and PL/SQL development.</li><li>Experience using Eclipse IDE and Visual Studio for software development.</li><li>Hands-on experience with Azure DevOps for version control, CI/CD pipelines, and environment management.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul>

Role Description: <ul><li>The Strategic Sales Manager, Data Center is responsible for driving strategic growth by identifying and developing new opportunities across the data center value chain—including hyperscale owners, colocation operators, contractors, and integrators.</li><li>This role focuses on expanding presence in the market through targeted engagement, solution positioning, and collaboration with cross-functional teams to deliver innovative connectivity solutions that meet the evolving demands of data center infrastructure.</li><li>This is a fully remote position.</li></ul> Responsibilities: <ul><li>Develop strong relationships with key stakeholders (executive level relationships and key decision makers) in the customer, apply professional selling methodology and leverage these relationships to position as a preferred supplier.</li><li>Design knowledge of data center systems, grounding, and other related applications.</li><li>Engagement with developed network of hyperscale owners and colocation operators for content expansion.</li><li>Research and development in new technology for new product development and stay current on technological developments in the field.</li><li>Generates new ideas, goes beyond the status quo; recognizes the need for new or modified approaches</li><li>Actively monitor &amp; maintain KPIs of customer relative to supplier performance standards.</li><li>Proactively promote the value which brings to the customer (with data / results) and work to efficiently service the account.</li><li>Financial tracking and reporting of strategy and business development efforts, market performance, and business planning results.</li><li>Engage in national and local industry events for market awareness and trainings</li></ul> Requirements: <ul><li>B.S. technical/business degree and 8 years of technical sales experience with 2+ years data center experience.</li><li>Preference will be given to candidates that possess technical backgrounds and have experience with data centers.&nbsp;</li><li>Experience managing project teams, both directly and through matrix organizations</li><li>Ability to travel 60-75% of the time.</li><li>Proven ability to work in a fast-paced and ever-changing environment.</li><li>Strong analytical and problem-solving ability with an entrepreneurial mindset</li><li>Strong customer service skills with a focus on listening to the customer.</li><li>Strong public speaking and presentation skills</li><li>Working knowledge of engineering design, procurement, and construction practices and procedures.</li><li>Multi-project execution experience</li></ul>

Responsibilities: <ul><li>At our client, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.&nbsp;</li><li>Drives the implementation of programs and projects to improve products and processes and develops deployment plans.&nbsp;</li><li>Digital Factory transformation project followed APAC and Internal plant.direction.&nbsp;</li><li>Daily trouble shooting in production, provide short term &amp; long term solution to team.&nbsp;</li><li>Suggest &amp; drive improvements digital solution.&nbsp;</li><li>Support project assignment.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Plant digitals, cooperate with APAC and our client service team for transformation project.&nbsp;</li><li>Digital factory transformation project implementation, Identify and resolve issue during implementation.&nbsp;</li><li>Training on new digital tools and technologies. Develop training material and provide training to ensure fully utilization.&nbsp;</li><li>Maintain and troubleshooting for exiting digital tools, AGV, Material Calling System, Hydra, dPIM etc.&nbsp;</li><li>Continuous Improvement, identify new opportunities and innovation in operation processes.&nbsp;</li><li>Data analysis and monitoring, Operations Scorecard, Operation Dashboard (SCCOP, SHE, OEE) and advise weakness areas for improvement.&nbsp;</li><li>Handle on CER related /CI working with operations and cross functional team.&nbsp;</li><li>Support operations project assignment.&nbsp;</li></ul> What your background should look like&nbsp; <ul><li>Bachelor’s Degree in Information Technology, Computer science or related field.&nbsp;</li><li>Strong knowledge and experiences in Digital transformation projects.&nbsp;</li><li>Familiarity with digital tools and technologies used in manufacturing.&nbsp;</li><li>Minimum 3 to 6 years working experience in manufacturing sector.&nbsp;</li><li>Knowledge of in cloud technology, virtualization, mobile application, IOT, SQL Server.&nbsp;</li><li>Reporting Services, Power BI, Tableau.&nbsp;</li><li>Good knowledge in Data Storage, Cloud, Microsoft Power Apps.&nbsp;</li><li>Good knowledge in Dashboard creation, Graphic and User Interface (UI) design.&nbsp;</li><li>New enhancement for new functionality in SAP and Hydra.&nbsp;</li><li>OEE, Utilization analysis skill.&nbsp;</li><li>Knowledge and experiences in Enterprise Resource Planning software – SAP/BOM/Routing will be advantage.&nbsp;</li><li>Logical thinking with Project Management Skill.&nbsp;</li><li>Fluent in English and good communication.&nbsp;</li><li>Interpersonal skills.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li><li>This role offers the excitement of working with cutting-edge technology and the fulfillment of building long-lasting relationships with customers.</li><li>Provide guidance and assist account teams in building solutions to address specific customer security needs.</li><li>Understand business requirements and translate them into technical solutions.</li><li>Create, present, and document technical solutions to customers, partners, and prospects.</li><li>Lead technical consulting and upper-level management presentations.</li><li>Drive major account opportunities while enabling local account teams to maintain long-term ownership.</li></ul> Requirements: Minimum Qualifications <ul><li>Minimum of 4 years of technical sales or pre-sales experience with 2+ years in Security specialization (Email Security, IDS/IPS, AV, Firewall, Advanced Malware Protection).</li><li>Bachelors degree in Cybersecurity, Computer Science, or a related field.</li><li>Proven track record of successful quota achievement.</li><li>Strong knowledge of cybersecurity concepts, technologies, and best practices.</li><li>Industry certifications such as CISSP, CISM, or CCSP are preferred..</li></ul> Preferred Qualifications <ul><li>Excellent presentation and interpersonal skills.</li><li>Commercial awareness and strong communication skills.</li><li>Highly motivated self-starter who excels without day-to-day management.</li><li>Experience with Client security technologies and programming languages such as UNIX shell, Perl, or C.</li><li>Willingness to travel and work from a home office. As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li></ul>

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52 cloud it infrastructure Jobs found

Senior Business Intelligence Analyst

Salesforce Developer

Associate Data Engineer

Senior - Data Engineer

C# Developer (SSE)

Docusign Developer

Strategic Sales Manager

Digital Factory Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Solution Engineer - Security

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52 cloud it infrastructure Jobs found

Senior Business Intelligence Analyst

Salesforce Developer

Associate Data Engineer

Senior - Data Engineer

C# Developer (SSE)

Docusign Developer

Strategic Sales Manager

Digital Factory Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Solution Engineer - Security

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