Senior Data Engineer at Setpoint developing important data systems for asset - backed lending. Owning full - stack features from design to deployment with a modern tech stack in a hybrid role.
About the role
- Data Engineer designing and implementing end-to-end data processes, leveraging cloud-based infrastructures. Join Capgemini to work on sustainable and inclusive technology solutions.
Responsibilities
- Design and implement end‑to‑end data processes, including ADF Pipelines and Databricks workflows
- Responsible for developing and versioning data models across both transactional and data warehouse environments
- Working with cloud‑based data infrastructures on Azure, ensuring scalable and secure data solutions
- Support the development and execution of schema and data migrations across multiple systems
- Optimize ETL processes to enhance performance, reliability, and operational efficiency
Requirements
- 5+ years of experience
- Design applications and technical solutions
- Strong knowledge of data modeling concepts and techniques for both data warehouse and transactional systems
- Hands-on experience with Databricks, Delta Lake, Python, PowerShell, MS SQL Server, and T-SQL
- Good working knowledge of the Azure data engineering stack, including Azure Data Factory, Azure Data Lake, and Cosmos DB
- Experienced in DevOps practices and in testing, operating, and optimizing complex data flows
- Experience working with Power BI (plus)
Benefits
- Flexibility enables a better work-life balance
- Local programs that promote people growth, reskill and new skills development (Career Acceleration Programs)
- Empowering environment with autonomy and peers' relationships among the top scores of Monthly Employees' feedback
- Attractive compensation package and benefits such as Health and Life insurance
- Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer responsible for evolving data pipeline at Mytra, enhancing supply chain solutions through data - driven insights and collaboration.
Data Engineer developing data pipelines and stream processing solutions for Leonardo in the Cyber & Security Solutions area. Supporting data ingestion, processing, and analytics for large - scale datasets.
Engineer focusing on data engineering in Google Cloud Platform. Developing and maintaining data pipelines with governance on information quality.
Manager, Data Engineering leading the cloud - native data engineering vision at Grainger. Developing scalable platforms and mentoring data engineers to enhance quality and business impact.
Big Data Engineer optimizing scalable data solutions using Hadoop, PySpark, and Hive at Citi. Responsible for building ETL pipelines and ensuring data quality in a hybrid work environment.
Senior Data Engineer in Data Ingestion team at Novo Nordisk, designing scalable data solutions for analytics, AI, and research. Building robust applications and pipelines to support operational use cases.
Data Engineer delivering data for Financial Crime Prevention teams and supporting consistent data layer. Collaborating with multiple teams and defining expected solution details.
Senior consultant at Infosys designing enterprise data solutions and leading technical teams. Collaborating across business pillars in a high - growth consulting environment focused on analytics and data strategy.
Data Engineer I developing data services with Azure technology for global risk management insights. Collaborating with teams to optimize data processes and ensure quality standards.