Senior Data Engineer

Nasze wymagania

• Must-have:
• 5+ years of experience in data engineering, with at least 2 years working extensively with Snowflake in a production environment
• Strong hands-on experience with ETL design, data blending, and complex data transformation logic
• Proficiency in SQL (advanced level) and Python for data engineering tasks
• Experience building and maintaining data pipelines with orchestration tools (Airflow, dbt, Prefect, or similar)
• Solid understanding of cloud data warehouse concepts: partitioning, clustering, materialized views, query optimization, and cost governance
• Proficiency with GitHub for version control, branching strategies, and collaborative code review
• Experience developing and documenting backend REST APIs (FastAPI or equivalent)
• Familiarity with CI/CD pipelines for data workloads
• Fluent English, both written and spoken

Mile widziane

• Experience working with Finance data (general ledger, cost center structures, P&L, FP&A, or similar domains)
• Experience with SAP (S/4HANA, BW4) or other ERP source systems as data origins
• Knowledge of data governance frameworks and metadata management tools (e.g. Collibra, DataHub)
• Exposure to Snowflake's data sharing and Marketplace capabilities
• Understanding of dimensional modeling
• Experience in regulated industries (pharma, finance, life sciences)
• Familiarity with BI tools such as Tableau

Twój zakres obowiązków

• Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver Finance data from multiple source systems into Snowflake.
• Implement data blending strategies to consolidate data across heterogeneous sources (ERP systems, flat files, APIs, databases) into unified, trusted datasets.
• Apply Snowflake-native capabilities: dynamic tables, streams, tasks, materialized views, data sharing, and time travel.
• Model data using dimensional and modern approaches (e.g. Data Vault, medallion architecture) appropriate to Finance use cases.
• Build and maintain data pipelines using orchestration tools such as Apache Airflow, dbt, or equivalent.
• Implement CI/CD practices for data pipelines using GitHub Actions or similar, ensuring version-controlled, reviewable, and deployable data code.
• Design and develop RESTful APIs to expose Finance data to internal web applications and downstream consumers.
• Collaborate with frontend and full-stack developers to define data contracts and ensure reliable, performant backend integration.
• Work within cloud environments (AWS) and apply cloud data warehouse best practices around security, scalability, and cost management.
• Partner with Finance domain experts and analysts to understand data needs and translate them into technical solutions.
• Mentor junior engineers and act as a technical reference point within the domain.

O projekcie

Tak organizujemy naszą pracę

To oferujemy

• B2B contract, 150 PLN/h
• Fully remote service delivery,
• Broad range of projects (internal, international) - genuine variety of clients and tasks,
• Additional benefits available as part of the collaboration,
• Networking and team-building events for project teams.

Craftware Sp. z o.o.