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(Senior) Data Engineer (w/m/d)

Public Cloud Group

flexible Full-time Senior Today

About the role

About Public Cloud Group (PCG)

"Is cloud your world – whether AWS, Microsoft, Google, or SAP? Then you fit with us! At Public Cloud Group (PCG), we help companies make their IT landscapes in the cloud modern, secure, and future-proof.

Almost 500 cloud experts at 21 locations across Europe are already part of our team – and we are growing. Do you want to contribute your know-how to PCG DACH in a team that is just as crazy about the cloud as you are?"

Learn more about what work is like with us on our career page.

What it's about?

As a (Senior) Data Engineer (w/m/d) in our Hyperscaler-agnostic Data & AI Area, you will be a driving force in building modern data platforms. You will design and implement highly scalable data warehouse and data lakehouse solutions for our customers, using a future-oriented best-of-breed approach.

In this role, you will work focused from our internal delivery team – we have no body leasing, but real teamwork on joint solutions. You will bring your profound experience in at least one of the major hyperscalers (AWS, Google Cloud, or Microsoft Azure) as well as your confidence in SQL and modern data ecosystems like BigQuery, Snowflake, or Microsoft Fabric.

Your goal is to create robust and performant data structures and intelligent ETL/ELT pipelines that serve as a stable foundation for demanding analytics and BI scenarios and offer our customers real added value.

What you will do:

  • Design future-proof data landscapes: You will be responsible for the conception and architecture of modern, highly scalable data warehouse and lakehouse solutions – using a deep technological foundation to create the best solution agnostically across all hyperscalers.
  • Create efficient data flows: You will develop robust ETL/ELT processes and intelligent data pipelines that seamlessly connect diverse data sources.
  • Structure valuable data models: Together with the team, you will build data models and transformations with modern tools like dbt or Dataform, creating the basis for well-founded decisions.
  • Interface management & consulting: In close coordination with your stakeholders, you will analyze needs and provide performant data structures that enable tailor-made BI and analytics use cases.
  • Technological guidance: You will evaluate and select suitable data technologies for our customers with foresight, consistently pursuing a best-of-breed approach.
  • Knowledge transfer & team development: You will mentor Junior/Mid-Level Engineers in their development and actively shape data governance and best practices within our team.

What we expect from you:

  • Profound professional experience: You have several years of experience in data engineering and ideally feel at home in modern cloud environments.
  • Confidence in data architectures: You are proficient in SQL and bring a deep understanding of DWH and DLH architectures (including formats like Iceberg, Delta, Hudi) to our projects.
  • Practical 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 talent: You have practical experience in using common BI tools like PowerBI, Looker, or Tableau to visualize data.
  • Communicative consulting: You enjoy providing technical advice to clients, presenting complex architectures understandably, and thoroughly analyzing use cases.

What rounds off your profile:

  • Confident handling of cloud ecosystems: You have profound knowledge in at least one of the major hyperscalers (AWS, Google Cloud, or Microsoft Azure).
  • Scripting skills: Ideally, you have already gained initial experience with Python to automate tasks or optimize processes.
  • Subject-specific certifications: You hold certifications in the data field (e.g., Snowflake, GCP, or Azure Data Engineer) or are interested in acquiring them with us.
  • Modern deployment: Experience with DevOps principles and CI/CD in the data environment is a valuable plus for our collaboration.
  • Team spirit and drive: You convince with results orientation and the joy of collaborating with our diverse team of passionate experts.

What's in it for you:

  • Pure flexibility: Work the way that fits your life. Remote or in the office, work areas nationwide or in one of our offices in Germany (Magstadt, Darmstadt, Berlin, Munich, Hamburg, Cologne, Ulm, Heidelberg, Frankfurt).
  • Workation: Working & discovering new places? Use up to 30 days of Workation per year and combine job & adventure.
  • Time off: With 30 days of vacation, you recharge your batteries whenever you need to.
  • Your hardware, your choice: Mac, Windows, or Linux – you decide what you prefer to work with.
  • Get ahead: Training, labs, and certifications at AWS, Azure, Google & SAP – we boost your cloud know-how.
  • Feedback that counts: Regular development and salary reviews so you know exactly where you stand.
  • More than basics: Choose between Spendit Card, Wellpass, or Deutschlandticket. On top, childcare subsidy and bike leasing as further extras for your life beyond the laptop.
  • Team spirit: Whether team events (alternating hackathons), summer party, or Christmas party – we celebrate successes together.

Sounds good?

Great, then send us your application now via the application portal - Don't worry, it won't take 60 seconds.

We look forward to hearing from you!

At PCG, talent counts, not labels – we warmly welcome applicants of any origin and identity, regardless of gender, nationality, ethnic and social origin, worldview, disability, age, and sexual orientation and identity.


Skills

AWSAzureBigQuerydbtDataformData LakehouseData WarehouseGoogle CloudLookerMicrosoft FabricMicrosoft SynapsePowerBIPythonSAPSnowflakeSQLTableau

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