Senior Data Engineer

• Proven experience as a Data Engineer in a data consumption, analytics or reporting-focused environment.
• Strong experience building dimensional models and data marts.
• Hands-on experience with AWS-based data platforms and services.
• Experience designing and operating ETL/ELT pipelines.
• Strong understanding of data quality, monitoring and operational excellence practices.
• Experience with orchestration, scheduling and event-driven data processing.
• Able to work independently and take ownership from requirement gathering through implementation.
• Collaborative team player who actively seeks feedback and validation rather than working in isolation.
• Pragmatic problem solver with strong stakeholder management skills.
• Comfortable operating in a fast-moving environment with evolving requirements.
• Strong communication skills and ability to bridge business and technical perspectives.

We are looking for an experienced Data Engineer to accelerate adoption of a Uniform Data Lake.

The role focuses on building data consumption layers for business domains.

You will make data consumable for reporting, analytics and operational use cases.

You will design dimensional data models optimized for Power BI.

You will develop and maintain data pipelines, orchestration, scheduling and monitoring.

You will implement data quality controls, validation rules and automated checks.

You will build scalable and maintainable reporting datasets.

You will design data structures for marketing use cases.

You will integrate the data lake with marketing technology platforms.

You will support marketing stakeholders in defining consumption requirements.

You will develop analytical data stores for Operations and Risk teams.

You will enable self-service operational reporting with trusted datasets.

You will define reusable reporting structures and metrics with business users.

You will ensure compliance with enterprise data governance requirements.

Success means that domains can access trusted and scalable datasets.

Power BI teams will work with standardized dimensional models.

Marketing platforms will connect seamlessly to governed data products.

Operations and Risk teams will be empowered through self-service datasets.

All solutions must follow the Uniform Data Lake architecture and standards.