Job details:

• Full-time
• Senior level
• Start date: ASAP
• 6 months + extensions possible
• Remote work with possible occasional in person team sessions / workshops / gatherings (i.e. 1x quarter) likely to take place in Prague
• Obligatory task before the interview
• US Hours overlap needed: Minimum 2-6pm CET, preferred 2-7pm CET

Scope:

We’re looking for a Sr. Data Engineer to join a fast-moving team building a production-grade, AI-native platform. You’ll focus on the architecture and orchestration of our AI systems, building robust agentic pipelines, MCP servers, and seamlessly integrating LLMs with our backend infrastructure.

The product is a large enterprise platform dedicated to the US Tax team to calculate and process tax returns of large companies, collaborate within the client’s team and present the results to the clients.

Application has multiple modules, including for example imports from external systems, calculation engine, user management and access control, documentation, comments, exports and others.

Main parts of the application front-ends are built with Angular, Bootstrap and it communicates with the backend using Rest APIs and SignalR. The backend is split into monolith which are using .NET 8, Entity Framework Core, MSSQL databases and are hosted on Azure.

The application’s front-end is currently built using micro front-end architecture, which was put in place in order to be able to combine different modules built with different frameworks.
 

Skills:

Hands-on production experience with Databricks, including Databricks Jobs, Delta Lake, and Unity Catalog. The candidate must be able to design, implement, secure, automate, and troubleshoot governed data and AI assets rather than only consume an existing catalog.

Tech Stack Highlights:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Solid understanding of the software development life cycle.
• Proven experience with Python, Spark and SQL for data engineering and analysis.
• Strong data analysis skills, with the ability to interpret and manipulate large datasets.
• Experience with Databricks for data ingestion and transformation.
• Familiarity with Delta Lake and data warehousing concepts.
• Excellent problem-solving skills and the ability to see the big picture and understand the broader context of assigned tasks.
• Strong teamwork and collaboration skills, with a demonstrated ability to work effectively in a team-oriented environment.
• Knowledge of reporting tools like Power BI is a plus.
• Knowledge of Data Science concepts is a plus.
• Strong communication, interpersonal and presentation skills.

Nice-to-Have:

• Datadog for system observability

• Kubernetes experience

• Familiarity with AI tooling integration (serving as the backend support for AI features)

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