Senior Data Engineer (Data, Analytics & AI)

AVENGA (Agencja Pracy, nr KRAZ: 8448) is recruiting for a Senior Data Engineer to join a global Data, Analytics & AI initiative focused on building scalable data solutions that support enterprise reporting, analytics, and operational applications.

• 5+ years of experience in Data Engineering.
• Minimum 2 years of hands-on experience with Snowflake in production environments.
• Strong experience designing ETL/ELT pipelines and implementing complex data transformations.
• Advanced SQL skills and solid Python experience for data engineering tasks.
• Experience with orchestration tools such as Apache Airflow, dbt, Prefect, or similar.
• Strong understanding of data warehousing concepts, query optimization, partitioning, clustering, and cost management.
• Experience building and maintaining REST APIs (FastAPI or similar frameworks).
• Experience with Git-based workflows and CI/CD pipelines using GitHub, GitHub Actions.
• Familiarity with cloud environments, especially AWS.
• Ability to work closely with technical and business stakeholders in an Agile environment.

Nice to have:

• Experience working with financial or ERP data.
• Knowledge of SAP S/4HANA, SAP BW4, or other ERP platforms.
• Experience with data governance or metadata management tools.
• Familiarity with dimensional modelling, Data Vault, or medallion architecture.
• Experience in regulated industries such as finance, life sciences, or healthcare.
• Exposure to BI tools such as Tableau or similar platforms.

• Design, build, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and delivering data from multiple source systems.
• Blend and consolidate data from heterogeneous sources (ERP systems, APIs, databases, flat files) into trusted datasets.
• Develop and optimize data models and transformation logic to support analytics and reporting use cases.
• Build and maintain orchestration workflows using tools such as Apache Airflow, dbt, or similar solutions.
• Implement CI/CD practices for data workloads and maintain version-controlled, production-ready code.
• Monitor pipeline performance, troubleshoot failures, and ensure data quality, lineage, and reliability.
• Design and develop REST APIs (FastAPI or similar frameworks) to expose data to internal applications and downstream systems.
• Collaborate with frontend and full-stack engineers to define data contracts and backend integrations.
• Apply cloud data platform best practices related to security, scalability, performance, and cost optimization.
• Partner with business stakeholders to translate complex requirements into technical solutions.
• Contribute to engineering standards, documentation, and best practices while mentoring less experienced team members.