Our client is looking for a Software Engineer with a Data focus for a contract position. This is a hybrid role.

You’ll be the first dedicated engineer focused on data extraction, transformation, and visualization enablement. Working alongside experienced cloud engineers, you’ll:

• Query, clean, and organize live production data from multiple systems (primarily using SQL and Cosmos DB).
• Build or re-architect backend data models and storage solutions to make data more accessible and reliable.
• Design the pipelines and logic to feed Power BI dashboards with real-time and historical data.
• Collaborate with architects and stakeholders to identify the right data sources and ensure meaningful, performant dashboards.

This isn’t a data science or analytics role, it’s a software engineering role focused on backend data engineering: building the systems that make meaningful analysis possible.

• Languages: Python or Java (core stack is Java-based; Python experience equally valued)
• Database: SQL, Cosmos DB (experience with any NoSQL or distributed database a plus)
• Dashboards: Power BI (experience building data sources for dashboards, not necessarily designing visualizations)
• Cloud: Azure (experience in other major clouds acceptable)
• Data manipulation: ETL/ELT concepts, structured/unstructured data handling
• Version control & CI/CD: Git, pipelines, automation tools

What we’re looking for

• Strong software engineering background with experience in Python or Java (ideally both).
• Excellent SQL skills, able to write, optimize, and debug complex queries.
• Proven experience in building and managing databases, preferably in a production environment.
• Hands-on experience integrating backend data pipelines with Power BI or similar dashboarding tools.
• Familiarity with cloud-native data tools and services (Azure or AWS).
• A self-starter who enjoys greenfield work — comfortable defining structure, not just maintaining it.
• Collaborative mindset — able to work closely with cloud engineers, architects, and non-technical stakeholders.