Data Engineer (all genders)

NEOS - Das Neue Österreich und Liberales Forum

Hamburg

On-site

EUR 70,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Company Bike
EGYM Wellpass

Job summary

Eraneos is seeking a data engineer to join its cloud and data engineering team in Germany. You will own data projects end to end, design architectures for batch and streaming workloads, and build scalable Python ETL pipelines. The role requires strong Kubernetes/Docker skills and experience with modern data stacks.

With hybrid work, you’ll collaborate with an international team, travel to clients when needed, and contribute to production-grade software in a management consultancy setting.

Qualifications

  • German language skills at C1 level.
  • Hands-on experience with a cloud hyperscaler (AWS/Azure/GCP).
  • Experience building production-grade software.
  • Python development with idiomatic and well-tested code.
  • Performance tuning of relational databases (indexing/sharding/partitioning).
  • Experience with data workflow orchestration tools (Airflow/Dagster/Prefect).
  • Experience with large-scale data processing stacks (Spark, Snowflake, dbt).
  • Containerization and orchestration (Docker, Kubernetes).
  • Customer-focused, ownership-driven mindset with willingness to travel to clients.

Responsibilities

  • Take ownership for projects end to end from scoping to delivery of measurable outcomes.
  • Design data architectures for batch and streaming workloads at varying scales.
  • Provision and manage cloud infrastructure on AWS, Azure or GCP.
  • Build Python ETL/ELT pipelines orchestrated by Airflow, Dagster or Prefect.
  • Work with data lake technologies and optimize data ware-/lakehouses.
  • Model and store data across SQL and NoSQL databases, optimizing performance and costs.
  • Create web APIs with FastAPI/Flask and document with OpenAPI/Swagger.
  • Automate deployments using Infrastructure-as-Code and container tech (Docker, Kubernetes).

Skills

German (C1)
Python development
SQL/NoSQL databases
Airflow/Dagster/Prefect
Cloud platforms (AWS/Azure/GCP)
Docker/Kubernetes
OpenAPI/Swagger
FastAPI/Flask
Data architectures (batch/streaming)

Tools

Airflow
Dagster
Prefect
FastAPI
Flask
Docker
Kubernetes
OpenAPI/Swagger
Snowflake
Apache Spark

Job description

What you can expect from us

We’re a high‑energy cloud- and data engineering team looking for like‑minded, motivated tech builders. We are driven by ownership and business outcomes. As the analytics unit within a global management consultancy, we turn data-driven strategies into production systems. Our clients are DAX and Fortune Global 500 leaders who trust us for our expertise across data platforms, big data and cloud engineering. You’ll join an international environment with agile squads and a boutique spirit with room to experiment and grow, paired with above‑market compensation and an attractive benefits package.

What you’ll do as part of our cloud- and data engineering team:
  • Take ownership for projects end to end: From scoping to stakeholder alignment and the delivery of measurable outcomes
  • Design data architectures for batch and streaming workloads, both at small and big data scales
  • Provision and manage the underlying cloud infrastructure to support those architectures on providers such as AWS,Azureor GCP
  • Building Python ETL/ELT pipelines, orchestrated with Airflow,Dagster, or Prefect.
  • Work with data lake technologies andoptimize(OLAP) data ware-/lakehouses
  • Model and store data across SQL and NoSQL databases, as well asoptimizingperformance and costs
  • Create web APIs with popular Python frameworks (e.g.,FastAPI and Flask) and describe them using standards likeOpenAPI/Swagger
  • Automate deployments using Infrastructure-as-Code and container technologies such as Docker, Kubernetesor OpenShift
Who you are
  • A passionate data engineer who loves being at the forefront of modern, AI-driven technology, but also cares about the engineering craftmanship.
  • Relevant hands‑on experience with a cloud hyperscaler (preferably AWS,Azure or GCP).
  • Preferably experience building production‑grade software.
  • Python development with idiomatic and well‑tested code.
  • Skilled in performance tuning and optimization of relational databases (e.g., through indexing,shardingor partitioning).
  • Experienced with data workflow orchestration tools (e.g., Apache Airflow,Dagsteror Prefect).
  • Competent with large‑scale data processing and modern analytics stacks (e.g., Apache Spark, Snowflake,dbt or similar technologies).
  • Proficient with containerization and container orchestration (e.g., Docker, Kubernetes or similar technologies).
  • Excellent German language skills (C1) and conversational English skills
  • Customer‑centric, results‑driven, and willing to occasionally travel to clients.
Who we are
  • Shape the future with AI by working on diverse and impactful projects at the intersection of strategy, technology, and business.
  • Work flexibly in a way that suits your life – with hybrid working models, flexible working hours, and the option to work from home.
  • Enjoy an open, collaborative culture with flat hierarchies, an international team, and colleagues who are always willing to share their knowledge and support one another.
  • A Great Place to Grow: Benefit from tailored learning opportunities, individualized career paths, and dedicated support for your professional and personal development.
  • Be part of a strong international network of more than 1,300 colleagues and enjoy regular cross‑office and international company events.
  • Maintain a healthywork‑life balance with flexible working models and, where appropriate, the opportunity to take a sabbatical.
  • Take advantage of ourCompany Bike program and a subsidizedEGYM Wellpass membership to support your health and wellbeing.
  • Work from modern, centrally located offices in Hamburg, Munich, and Düsseldorf, as well as flexible hub locations across Germany's major cities.
  • Enjoy complimentary drinks, fresh fruit, snacks, premium coffee – and, if you like, an after‑work beer with your colleagues.
  • Thrive in an environment built on trust, ownership, and continuous growth, where your ideas are valued regardless of your role or level of seniority
Contact

Paulina Krzeminski
Lead Group Recruiting Consultant

E:paulina.krzeminski@eraneos.com
M: +49 151 422 09 376

Our top priority is that you fit us and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, handicap or other aspects of diversity.

Eraneos Germany als Arbeitgeber: Gehalt, Karriere, Benefits (kununu.com)

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