2 ΡΠ°ΡΠ° Π½Π°Π·Π°Π΄
Senior Software Engineer (m/f/d) Data (AI)
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 Software Engineer (m/f/d) Data (AI): Building and operating cloud-native data products, pipelines, services, and modeled datasets for media and advertising with an accent on Python-based backend engineering, data modeling, and trustworthy production systems. Focus on designing evolving data contracts and schemas, solving reliability and performance challenges, and mentoring engineers across experience levels.
Location: Berlin, Germany; 80% office presence and 20% mobile working
Company
is a Berlin-headquartered digital publisher and media technology company operating brands including BILD, POLITICO Germany, WELT, and BUSINESS INSIDER Germany.
What you will do
- Build, test, deploy, and operate production-grade data products, pipelines, services, and modeled datasets.
- Apply backend engineering practices through clean code, APIs, automated testing, observability, and operational ownership.
- Design schemas, data contracts, and domain models that handle schema evolution, late data, and real business requirements.
- Improve data quality through checks, lineage, freshness, documentation, and clear ownership.
- Partner with product, engineering, data science, analysts, and other stakeholders to deliver reliable data products.
- Mentor junior and mid-level engineers while improving reliability, performance, and cost efficiency.
Requirements
- Senior-level experience delivering and operating backend systems, data products, APIs, services, or pipelines end-to-end in a cloud environment.
- Strong Python skills and experience writing clean, tested, maintainable production code; willingness to quickly learn Go and other tools.
- Experience or transferable expertise in data modeling, schema evolution, incremental and idempotent processing, and late data handling.
- Sound judgment regarding APIs, data contracts, schemas, ownership boundaries, compute costs, and technical trade-offs.
- Strong understanding of data quality, lineage, freshness, observability, documentation, and production operations.
- Degree in computer science, engineering, or a related field, or equivalent expertise demonstrated through experience and impact.
Nice to have
- Experience with cloud data platforms, lakehouse platforms, and high-throughput processing.
- Ability to transition from senior backend engineering into data engineering or combine both disciplines.
Culture & Benefits
- Permanent full-time or part-time employment in a modern Berlin office.
- Flexible working hours and 30 days of vacation.
- Up to 10 working days from abroad.
- Training, learning lunches, technology conferences, and a workshop budget.
- Free breakfast snacks and lunch in the company canteens.
- Choice of high-quality office equipment for office and remote work, including private use.
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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