Data Engineer – Data Lake (f/m/x)

Data Engineer – Data Lake (f/m/x)

Sii Sp. z o.o.

Toruń
Lublin
Piła
Bydgoszcz
Kraków
Rzeszów
Katowice
Białystok
Gdańsk
Wrocław
Warszawa
Poznań
Łódź
Szczecin
Bydgoszcz, Kuyavia-Pomerania
Toruń, Kuyavia-Pomerania
Katowice, Silesian
Rzeszów, Subcarpathia
Kraków, Lesser Poland
Poznań, Greater Poland
Hybrydowa
B2B
Data Engineering
Data Lake
Python
Scala
Java
Apache Spark
ETL/ELT
SQL
Docker
Kubernetes

Hexjobs Insights

Data Engineer position focusing on designing and developing data pipelines and Data Lake architecture. Requires experience in Data Engineering, proficiency in Python/Scala/Java, and knowledge of data processing tools.

Słowa kluczowe

Data Engineering
Data Lake
Python
Scala
Java
Apache Spark
ETL/ELT
SQL
Docker
Kubernetes

Benefity

  • Great Place to Work since 2015
  • Employment stability with PLN 2.1BN revenue
  • Profit sharing with over PLN 76M allocated since 2022
  • Attractive benefits package including healthcare
  • Investment in employee growth through training and meetups

Technologies we use

About the project

Your responsibilities

  • Designing and developing scalable data pipelines for batch and real-time data processing
  • Building and optimizing Data Lake architecture for analytical use cases
  • Integrating multiple data sources and ensuring seamless data flow across systems
  • Ensuring data quality, consistency, and governance (data lineage, access control)
  • Optimizing storage and processing performance using modern data formats and partitioning strategies
  • Monitoring, troubleshooting, and improving data pipeline performance
  • Collaborating with stakeholders to translate business needs into technical solutions
  • Following best practices in data engineering and continuously improving the platform

Our requirements

  • Strong experience in Data Engineering or Big Data-related roles
  • Proficiency in Python, Scala, or Java
  • Hands-on experience with tools such as Apache Spark, PySpark, or similar frameworks
  • Previous work with Data Lake technologies (e.g., AWS S3, Azure Data Lake, Databricks, BigQuery)
  • Knowledge of ETL/ELT processes and orchestration tools (e.g., Airflow, Data Factory)
  • Good understanding of SQL and data modeling
  • Experience with distributed systems and large-scale data processing
  • Familiarity with Docker and Kubernetes
  • Strong analytical and problem-solving skills
  • Fluent in Polish required
  • Residing in Poland required

Optional

  • Experience with streaming technologies (e.g., Kafka)
  • Knowledge of data governance tools
  • Familiarity with CI/CD processes in data projects

This is how we work on a project

What we offer

  • Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
  • Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
  • We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
  • Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
  • Comfortable workplace – class A offices or remote work
  • Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
  • PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
  • Investment in your growth – meetups, webinars, training platform and technology blog – you choose
  • Fantastic atmosphere created by all Sii Power People
Wyświetlenia: 1
Opublikowana7 dni temu
Wygasaza 23 dni
Rodzaj umowyB2B
Tryb pracyHybrydowa
Źródło
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