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Programista · PythonNOWE

Senior Data Engineer (PST Overlap) | Remote

Appliscale
Kraków
100% zdalnie
Senior
Pełen etat
B2B / Umowa o pracę
Dodane dzisiaj
Wynagrodzenie Jawne widełki
26 000–30 000PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Duży ZUS:
Dziennie: ~883 – 1 028 PLN
Miesięcznie: ~18 544 – 21 588 PLN
Rocznie: ~222 524 – 259 052 PLN
Mały ZUS:
Dziennie: ~936 – 1 081 PLN
Miesięcznie: ~19 663 – 22 707 PLN
Rocznie: ~235 958 – 272 486 PLN
Zobacz w kalkulatorze wynagrodzeń
20 000–26 000PLN
netto / miesiąc·Umowa o pracę
Pokaż szczegóły wynagrodzenia
Przybliżone wynagrodzenie netto:
Dziennie: ~665 – 860 PLN
Miesięcznie: ~13 965 – 18 054 PLN
Rocznie: ~167 577 – 216 651 PLN
Zobacz w kalkulatorze wynagrodzeń
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

Responsibilities:

  • Please note, availability to attend afternoon/evening meetings is a requirement for this role as most of the team is located on the US West Coast (LA and Seattle)
  • Design, build, and optimize scalable pipelines for data, supporting insight into the the Data Foundation ecosystem
  • Design and implement data models using industry best practices that capture a complete ecosystem view of internal customer experiences, while ensuring accuracy, scalability,and long-term usability
  • Architect and implement robust, maintainable, and high-performance data solutions
  • Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage
  • Optimize query performance and resolve pipeline bottlenecks to improve data accessibility
  • Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities
  • Support cost optimization by ensuring scalable and efficient data solutions
  • Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA)
  • Contribute to engineering discipline by shaping infrastructure, craft standards, tooling, and organizational best practices

02 Wymagania

5 must-have · 1 nice-to-have · 1 język

Must-have

Python
Ekspert
AWS
Ekspert
DBT
Zaawansowany
Airflow
Zaawansowany
Databricks
Zaawansowany

Nice-to-have

PySpark
Mile widziane

Wymagane języki

Angielski
Zaawansowany

03 Profil kandydata

Required Qualifications:

  • Minimum of 5 years commercial work experience in data engineering or a related field
  • Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field
  • Proficiency in Python, essential for data processing and analysis tasks
  • Hands-on experience with DBT (Data Build Tool) and Airflow
  • Commercial experience using PySpark and Databricks
  • Proficiency in AWS cloud infrastructure (AWS)
  • Effective communication and teamwork skills

Nice to Have:

  • Experience with ML Operations and GenAI pipelines and infrastructure
  • Experience in the gaming industry, particularly with online multiplayer games
  • Experience working with cross-discipline organizations that build data products
  • Proficient in large-scale data manipulation across various data types
  • Demonstrated ability to troubleshoot and optimize complex ETL pipelines
  • Proven experience mentoring and guiding other engineers

04 Benefity

Pakiet medyczny
Ubezpieczenie
Budżet szkoleniowy
Szkolenia wewnętrzne

05 O firmie

Appliscale
ok. 100 osob · Kraków

Appliscale is an independent Technology Consultancy specializing in bespoke, cloud-based systems and full-cycle engineering - from business analysis to architecture design, development, and deployment. We work across industries such as gaming, proptech, legaltech, and adtech, partnering with startups, scaleups, and Fortune 500 companies worldwide. Our current focus is on building intelligent agents that drive automation, streamline operations, and enable scalable agentic ecosystems. With a flat structure, remote-first culture, and self-organized teams, we foster an environment where engineers innovate, share expertise, and create real impact.

06 Lokalizacja

Życzkowskiego 14, Kraków
Tryb pracy:
Elastyczne godziny pracy
Godziny pracy biura: 7-24
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie

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