(Senior) Data Engineer (all genders)

About the role

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,  Azure  or GCP
Building Python ETL/ELT pipelines, orchestrated with Airflow,  Dagster , or Prefect.
Work with data lake technologies and  optimize  (OLAP) data ware-/ lakehouses
Model and store data across SQL and NoSQL databases, as well as  optimizing  performance and costs
Create web APIs with popular Python frameworks (e.g., FastAPI  and Flask) and describe them using standards like OpenAPI /Swagger
Automate deployments using Infrastructure-as-Code and container technologies such as Docker,  Kubernetes or OpenShift
A passionate data engineer who loves being at the forefront of modern, AI-driven technology, but also cares about the engineering craftmanship.
2+ years of hands-on experience with a cloud  hyperscaler  (preferably AWS, Azure  or GCP).
Preferably 3+ years of experience building production-grade software.
A senior-level Python developer, who writes idiomatic and well-tested code.
Skilled in performance tuning and optimization of relational databases (e.g., through indexing, sharding or partitioning).
Experienced with data workflow orchestration tools (e.g., Apache Airflow, Dagster or 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).
A clear, confident communicator in German and English who can translate between business and engineering.
Customer-centric, results-driven, and willing to occasionally travel to clients.
At our company you will find an exciting job in the AI environment
Flexible working hours and locations such as home office are a matter of course for us
A familiar culture, short communication channels and lots of great, experienced, international colleagues who are always there to support you 
Company-wide, international events that are well worth seeing
Company bike and subsidisation of your fitness membership (EGYM Wellpass)
Targeted and individual training for your professional and personal development
A central location in Hamburg's, Munich's and Düsseldorf's city centre with good transport links (bus & train), as well as hub locations in all other major German cities
Daily fresh fruit, good coffee, snacks, soft drinks & after-work beer
  Have we caught your interest? Then we look forward to receiving your application!Ekaterina Korolkova -  career.de@eraneos.com - +49 40 809 081-172 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. Our dedicated HR Team will be happy to provide you with further information and is looking forward to receiving your CV and / or your complete and expressive Linked in / Xing profile. Are you interested in what our employees and other applicants say about us? Visit us on Kununu and follow us on social media to not miss the latest news about us. Eraneos Germany als Arbeitgeber: Gehalt, Karriere, Benefits (kununu.com)