HelloFresh seeks a Data Engineer to build and maintain complex ETL pipelines, drive data quality, and collaborate with stakeholders. The ideal candidate has strong engineering fundamentals, proficiency in SQL and Python, and excellent communication skills. This role is a great opportunity to work with a diverse global community and contribute to a dynamic phase of expansion.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
The role
We are a cross-functional team that integrates data engineers and data analysts. Our objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics.
As a Data Engineer in Global Data Products, you will be collaborating to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka etc). You will drive continuous improvement to our current data processing workflows; whilst engaging with the data producers and consumers to align business requirements with our roadmap.
Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What You’ll Do
- Build and maintain complex and scalable ETL pipelines
- Work closely with the data producers and software developers
- Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
- Drive data quality and governance
- Work together with our cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.
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- Strong understanding of engineering fundamentals and able to design, implement and deliver maintainable and high-quality code
- Strong problem-solving acumen
- Proficiency in SQL and Python stack
- Strong written and verbal communication skills, ability to build effective communication structures in a fast-growing engineering organization
- You treat data quality issues as engineering problems to solve, not business problems to escalate
- You’ve debugged a Spark pipeline and know the satisfaction of finding the root cause
- Demonstrated experience with data modeling techniques and a solid understanding of the principles of effective data models.
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Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- Immerse yourself in a diverse global community of 90+ nationalities.
- Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
- Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
- Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
- Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!
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