Data Engineer – Data Lake (f/m/x)

Data Engineer – Data Lake (f/m/x)

Sii Sp. z o.o.

Lublin
Toruń
Łódź
Piła
Warszawa
Bydgoszcz
Rzeszów
Białystok
Katowice, Silesian
Bydgoszcz, Kuyavia-Pomerania
Warszawa, Masovian
Piła, Greater Poland
Poznań, Greater Poland
Szczecin, West Pomeranian
Toruń, Kuyavia-Pomerania
Gdańsk, Pomeranian
Białystok, Podlaskie
Kraków, Lesser Poland
Hybrydowa
B2B
Data Engineering
Big Data
Python
Apache Spark
Data Lake
ETL
SQL
Docker
Kubernetes
Kafka

Hexjobs Insights

Data Engineer role focused on scalable data pipelines and Data Lake architecture. Requires 5 years experience, proficiency in Python or Java, and knowledge of ETL processes. Offers hybrid work, stability, and investment in employee growth.

Słowa kluczowe

Data Engineering
Big Data
Python
Apache Spark
Data Lake
ETL
SQL
Docker
Kubernetes
Kafka

Benefity

  • Great Place to Work certification
  • Employment stability
  • Profit sharing with workers
  • Attractive benefits package
  • Comfortable workplace
  • Support for employee ideas
  • Investment in growth through training

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

  • At least 5 years of 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 modelling
  • Experience with distributed systems and large-scale data processing
  • Familiarity with Docker and Kubernetes
  • Strong analytical and problem-solving skills
  • Fluent in Polish and English 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

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
Opublikowana8 dni temu
Wygasaza 22 dni
Rodzaj umowyB2B
Tryb pracyHybrydowa
Źródło
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