Work on the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
Be an active, solution-oriented contributor within autonomous, cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams.
Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, acting as a technical expert for software solutions and offering support to colleagues.
Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Prefect, Tecton, Databricks, as well as in-house Data Pipeline tools.
requirements-expected :
Strong background in data engineering with a focus on writing clean, maintainable Python code
Proficient in working with cloud platforms and data technologies such as PySpark and Kubernetes. Streaming technologies is a plus.
Skilled in designing scalable data models and working with relational databases (e.g., PostgreSQL) and object stores (e.g., AWS S3)
Basic understanding of Backend Development
Track record of building and optimizing efficient, reliable data pipelines
Committed to ensuring data quality, implementing monitoring practices, and maintaining high testing standards across the development lifecycle
Comfortable in agile environments, embracing fast iterations, lean principles, and continuous delivery
offered :
Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
