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Tech Stack
Tools & technologiesAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Designing future-proof data landscapes: You are responsible for the conception and architecture of modern, highly scalable data warehouse and lakehouse solutions — leveraging a deep technological foundation to create the best solution across all hyperscalers in an agnostic manner.
- Creating efficient data flows: You develop robust ETL/ELT processes and intelligent data pipelines that seamlessly connect diverse data sources.
- Structuring valuable data models: Together with the team you build data models and transformations using modern tools such as dbt or Dataform, establishing the foundation for informed decision-making.
- Interface management & consulting: In close coordination with stakeholders you analyze requirements and deliver performant data structures that enable tailored BI and analytics use cases.
- Technology leadership: You evaluate and select suitable data technologies for our clients with foresight, following a consistent best-of-breed approach.
- Knowledge flow & team development: You mentor junior and mid-level engineers in their professional development and actively shape data governance and best practices within our team.
Requirements
What you’ll need- Solid professional experience: You have several years of experience in data engineering and are ideally comfortable working in modern cloud environments.
- Confidence in data architectures: You are proficient in SQL and bring deep understanding of DWH and DLH (Data Lakehouse) architectures, including formats such as Iceberg, Delta, and Hudi.
- Hands-on platform expertise: You have actively worked with modern data platforms such as Google BigQuery, Snowflake, or Microsoft Fabric/Synapse.
- Routine in data modeling: Transforming and modeling data (e.g., with dbt or Dataform) is part of your regular toolkit.
- Visualization skills: You have practical experience using common BI tools such as Power BI, Looker, or Tableau to make data visible.
- Strong consulting and communication: You enjoy advising customers technically, presenting complex architectures clearly, and understanding use cases end-to-end.
- Solid knowledge of cloud ecosystems: You have strong experience with at least one major hyperscaler (AWS, Google Cloud, or Microsoft Azure).
- Scripting skills: Ideally, you have practical experience with Python to automate tasks or optimize processes.
- Domain-specific certifications: You hold data-related certifications (e.g., Snowflake, GCP, or Azure Data Engineer) or are interested in obtaining them with us.
- Modern deployment: Experience with DevOps principles and CI/CD in the data space is a valuable plus.
- Team player with drive: You demonstrate result orientation and enjoy collaborating with our diverse team of passionate experts.
Benefits
Comp & perks- Pure flexibility: Work in the way that fits your life — remote or in the office, anywhere in Germany or in one of our offices (Magstadt, Darmstadt, Berlin, Munich, Hamburg, Cologne, Ulm, Heidelberg, Frankfurt).
- Workation: Work and discover new places — use up to 30 days of workation per year to combine work and adventure.
- Time off: Recharge when you need to with 30 days of vacation per year.
- Your hardware, your choice: Mac, Windows, or Linux — you decide what you prefer to work with.
- Career development: Trainings, labs, and certifications for AWS, Azure, Google & SAP — we boost your cloud know-how.
- Feedback that matters: Regular development and salary reviews so you always know where you stand.
- More than the basics: Choose between a Spendit Card, Wellpass, or Deutschlandticket. Additionally, we offer childcare subsidies and bike leasing as extra benefits for life beyond the laptop.
- Team spirit: Whether team events (or hackathons), summer parties, or Christmas celebrations — we celebrate successes together.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLELTdata modelingSQLPythonDevOpsCI/CDdata architecturedata transformation
Soft Skills
consultingcommunicationmentoringteam collaborationresult orientationstakeholder analysistechnical advisingpresentation skillsproblem-solvingleadership
Certifications
Snowflake certificationGCP certificationAzure Data Engineer certificationdata-related certifications
