Senior Software Engineer

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Principal HANA Database Administrator

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

Associate Data Engineer

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Responsibilities: <ul><li>Establish and maintain data quality metrics and KPIs, regularly monitoring and reporting on data quality issues, trends, and improvements (also in VBA, SQL)</li><li>Collaborate with stakeholders, including supply chain planners, IT teams, and business leaders, to identify master data requirements and define data governance policies and procedures.</li><li>Lead the identification, collection, and validation of master data from various sources, ensuring data accuracy and integrity throughout the data lifecycle.</li><li>Define and implement data cleansing, enrichment, and standardization processes to improve data quality and usability.</li><li>Drive the adoption and utilization of master data management tools and systems, providing guidance and support to users, and ensuring data integrity and consistency across platforms.</li><li>Collaborate with IT teams to design, implement, and enhance master data management systems and infrastructure, aligning with business requirements and best practices.</li><li>Provide guidance and training to supply chain planning teams on master data management processes, standards, and tools, promoting data governance awareness and adherence.</li><li>Stay updated on industry trends, best practices, and emerging technologies related to master data management, and proactively identify opportunities for improvement and innovation.</li><li>Lead data-related projects and initiatives, coordinating cross-functional teams, managing timelines and deliverables, and ensuring successful project execution.</li></ul> Requirements: Education, Technical Qualification &amp; Experience: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field.</li></ul> Professional Experience (years in what processes and function): <ul><li>Proven experience 1-2 years master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP, Tableau, VBA, SQL.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul> Special Qualifications, Knowledge &amp; Skills: <ul><li>Experience with data analysis and reporting, using tools such as Excel, Tableau, or Power BI.</li><li>Excellent analytical and problem-solving skills, with a keen attention to detail. Need to be detail oriented and able to communicate to cross functional teams.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li><li>Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively.</li></ul>

Role Description: <ul><li>The Principal HANA Database Administrator will serve as the organization’s top technical authority for SAP HANA database environments.</li><li>This role is responsible for designing, implementing, and optimizing large-scale HANA systems to ensure high availability, security, and performance.</li><li>The individual will lead strategic initiatives, mentor team members, and collaborate with cross-functional teams to support mission-critical enterprise applications.</li></ul> Responsibilities: Architecture &amp; Strategy <ul><li>Define enterprise-level SAP HANA architecture and standards.</li><li>Develop strategies for scalability, high availability, disaster recovery, and security compliance.</li></ul> Database Administration <ul><li>Install, configure, and upgrade SAP HANA systems.</li><li>Perform advanced performance tuning, query optimization, and memory management.</li><li>Monitor system health and proactively resolve issues.</li></ul> Data Management <ul><li>Manage data provisioning, replication, and integration with SAP and non-SAP systems.</li><li>Ensure compliance with data governance and security standards.</li></ul> Leadership <ul><li>Act as a subject matter expert for SAP HANA across the organization.</li><li>Mentor junior DBAs and provide technical guidance to project teams.</li><li>Drive automation and best practices for database operations.</li></ul> Innovation <ul><li>Evaluate emerging technologies and recommend enhancements.</li><li>Lead initiatives to improve efficiency and reduce operational risk.</li></ul> Requirements: Education: <ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li></ul> Experience: <ul><li>10+ years of database administration experience, with at least 5 years in SAP HANA.</li><li>Proven track record managing large-scale, mission-critical HANA environments.</li></ul> Technical Skills: <ul><li>Expertise in SAP HANA architecture, sizing, and performance tuning.</li><li>Strong knowledge of Linux OS, virtualization, and cloud platforms (AWS, Azure, GCP).</li><li>Familiarity with SAP Basis and integration with S/4HANA, BW/4HANA.</li></ul> Certifications: <ul><li>SAP Certified Technology Specialist – SAP HANA.</li><li>Additional certifications in cloud or database technologies preferred.</li></ul>

Responsibilities:&nbsp; <ul><li>Architect, design, build, and maintain high-impact software systems that align with business objectives and uphold technical excellence.</li><li>Own end-to-end delivery of outcomes, ensuring solutions meet functional and non-functional requirements; proactively adapt strategy and execution when results diverge from goals.</li><li>Collaborate with senior engineers and cross-functional partners across global teams to drive a cohesive and scalable technical strategy.</li><li>Establish and champion engineering best practices, operational efficiencies, and technical standards to elevate the overall quality and effectiveness of the organization.</li><li>Lead, mentor, and support engineers through thoughtful design discussions, rigorous code reviews, and targeted coaching to promote continuous improvement and growth.</li></ul> Requirements: <ul><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Experience: 6+ years of software development experience, with a proven track record of technical leadership.&nbsp;</li><li>Tech Stack Mastery: Exceptional skills in Java, Spring Boot, SQL, and RESTful services.&nbsp;</li><li>Cloud Proficiency: Hands-on experience with public cloud services, preferably AWS.&nbsp;</li><li>Communication: Exceptional ability to collaborate across functional lines and with global, cross-geo teams.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead the architecture and design efforts, aligning with future scalability and business objectives.</li><li>Provide mentorship, set technical direction, and drive excellence in the team.</li><li>Establish technical roadmap with cross-functional teams and stakeholders, ensuring alignment with business objectives.</li><li>Simplify and break down complex requirements into manageable deliverables and milestones through development of technical specifications.</li><li>Ensure deliverables meet the functional and non-functional criteria, and drive changes proactively where outcomes are misaligned.</li><li>Promote a culture of continuous improvement by guiding other engineers through design, code, and operational reviews.</li></ul> Requirements: <ul><li>Deep Expertise: 10+ years of software development experience, with at least 3 years in a formal technical leadership role.&nbsp;</li><li>The Java Stack: You are an expert in Java, Spring Boot, and SQL, with a proven track record of building distributed services that dont fail.&nbsp;</li><li>Cloud Native: Extensive experience with public cloud services (we prefer AWS) and a deep understanding of fault-tolerant, distributed systems.&nbsp;</li><li>Strategic Vision: You can zoom out to see the business objective and zoom in to solve a granular technical bottleneck.&nbsp;</li><li>Collaborative Leadership: Exceptional communication skills. You can explain architectural trade-offs to stakeholders and inspire engineers in the same hour.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related technical field.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead and own the architectural design of the cloud platform, ensuring solutions align with scalability requirements and long-term business objectives.</li><li>Define and execute the technical roadmap in collaboration with cross-functional stakeholders to advance the product vision.</li><li>Translate complex business requirements into clear technical specifications, actionable milestones, and high-quality deliverables.</li><li>Drive engineering excellence by proactively managing functional and non-functional requirements, and initiating corrective action when outcomes diverge from expectations.</li><li>Mentor and develop engineers through structured design, code, and operational reviews, fostering a culture of continuous improvement and technical rigor.</li></ul> Requirements: <ul><li>Experience: 10+ years of software development experience, with at least 3+ years in a technical leadership role.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Deep Technical Expertise: Extensive mastery of Java, Spring Boot, and SQL.&nbsp;</li><li>Cloud &amp; Distributed Systems: Proven experience designing and operating modern cloud-native, fault-tolerant distributed services (preferably on AWS).&nbsp;</li><li>Architecture: Solid understanding of Microservices and REST API standards.&nbsp;</li><li>Quality Focus: Strong experience in writing Unit and API tests to ensure platform stability.&nbsp;</li><li>Soft Skills: Exceptional strategic thinking and the ability to communicate technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</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>

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20 sql Jobs found

Senior Software Engineer

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Principal HANA Database Administrator

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

Associate Data Engineer

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20 sql Jobs found

Senior Software Engineer

Senior AI Engineer

Data Engineer

Sourcing Support - Master Data

Principal HANA Database Administrator

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

Associate Data Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.