2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Data Engineer
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Data Engineer (Azure/Data Platforms): Building scalable data pipelines and architectures for Data & AI initiatives in digital healthcare with an accent on cloud migration, distributed data processing, and production-grade data platforms. Focus on optimizing large-scale datasets, modernizing Azure-based solutions, and designing reliable lakehouse and ETL/ELT architectures.
Location: Remote based in Germany, with occasional on-site collaboration in Berlin or Cologne depending on business and team requirements.
Company
is a European e-pharmacy building digital healthcare solutions through data-driven innovation.
What you will do
- Design and build scalable data pipelines supporting high-impact data products across multiple business domains.
- Drive cloud data migration initiatives and modernize existing platforms with Azure-based solutions.
- Transform and optimize large-scale datasets for reporting, analytics, and business decision-making.
- Collaborate with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders on end-to-end data solutions.
- Promote clean, maintainable code, automation, engineering best practices, and continuous improvements across the data platform.
Requirements
- 5+ years of experience in Data Engineering, including data platforms, data modeling, and production-grade data pipelines.
- Strong Python and SQL skills with the ability to translate business requirements into scalable technical solutions.
- Experience with distributed data processing systems such as Apache Spark, Flink, or Beam.
- Experience with large-scale datasets, data lakes, data warehouses, and ETL/ELT architectures across Azure, AWS, or GCP.
- Understanding of scalable system design, data engineering best practices, and lakehouse technologies such as Delta, Iceberg, or Hudi.
- Experience with relational and NoSQL databases, DevOps principles, and automated deployment practices.
Nice to have
- Experience with Snowflake, DBT, Docker, Kubernetes, Dagster, Airflow, or NiFi.
- Experience with CI/CD pipelines and automated deployment practices.
Culture & Benefits
- Individual work-from-home arrangements for roles that do not require regular office presence.
- Up to 20 days per year working from anywhere in the EU.
- Team-building events and regular company celebrations.
- Kindergarten grant of β¬100 per month for eligible childcare expenses.
- Free professional mental-health support and career development through internal and external training.
- Fully funded Deutschland Ticket and access to Urban Sports Club benefits.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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