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2 дня назад

Senior Data Engineer

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Germany
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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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

hirify.global 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 €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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’