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Offer summary

(Summary generated by AI based on the full job description)

The project concerns building and maintaining data platforms that support operational decision-making across the Lufthansa Group, including the OPS Decision Support Suite and OPS Data Delivery. Core stack includes Python, SQL, PySpark and cloud work on Databricks (Azure/GCP). Responsibilities cover creating and scaling ETL/ELT pipelines, integrating aviation operational systems, building data products, working with APIs, contributing to CI/CD automation and production support. Required: 2+ years of data engineering experience and fluency in English.

you can start ASAP

Data Engineer

Company: Lufthansa Systems

from: 26 August 2026
to: 25 September 2026
9000 - 22 000 złgross/ mth.contract of employment (full-time)
Offer parameters
level:mid • senior
working mode:hybrid
location:Gdańsk, Pomeranian
Gdańsk, Pomeranian

Requirements

Expected technologies

Azure Platform
Azure Data Factory
Databricks
Unity Catalog
Python
SQL
PySpark

Optional technologies

Google Cloud Platform
BigQuery
PubSub
Kubernets
Kafka
Grafana
Terraform

Operating system

Windows
Linux

Our requirements

  • 2+ years of experience in Data Engineering.
  • Strong Python and SQL skills.
  • Hands-on experience building ETL/ELT/data pipelines.
  • Experience with PySpark.
  • Experience with at least one cloud platform (Azure or GCP).
  • Experience working with Databricks or another modern data processing platform.
  • Understanding of data integration, processing and storage.
  • Fluency in English, both spoken and written (B2/C1).
  • Readiness to work in a hybrid model - 2 days in the office in Gdańsk.

Optional

  • Azure Data Factory.
  • Unity Catalog.
  • Google Cloud Platform experience.
  • Kafka.
  • Kubernetes/Docker.
  • Terraform.
  • Grafana.

Your responsibilities

  • Build and maintain scalable data pipelines using Python, SQL and PySpark.
  • Develop data ingestion and transformation processes.
  • Work with cloud-based data platforms and Databricks.
  • Integrate data from multiple operational systems.
  • Build data products that support aviation operations and decision-making.
  • Work with APIs and data exchange services.
  • Collaborate with data providers, engineers and business stakeholders.
  • Contribute to CI/CD and automation.
  • Participate in production support as part of the team.

About the project

We are looking for a Data Engineer to support two strategic data-driven initiatives within the Lufthansa Group ecosystem. If you enjoy working with large-scale data platforms, modern cloud technologies, and solving real business challenges, this role offers the opportunity to contribute to systems that support critical operational decision
Operations Decision Support Suite (OPSD)
OPSD is a holistic platform designed to support operational controllers in managing complex aviation environments and making proactive, data-driven decisions.
The solution integrates data from multiple operational domains, including:
-Airports
-Air Traffic Control
-Weather services
-Aircraft operations
-Crew management
The platform helps transform operational steering from reactive actions into proactive, data-driven decision-making.
OPS Data Delivery Team (OPS DDT)
OPS DDT is responsible for an enterprise data warehouse environment that collects, processes and delivers data across the Lufthansa Group, covering the following areas: Lufthansa Group fleet,
aircraft maintenance, flight operations, passenger transportation, baggage transportation

This is how we organize our work

This is how we work

in houseyou develop several projects simultaneouslyyou have influence on the technological solutions appliedyou have influence on the productyou focus on product developmentagilescrumkanban

Why Join Us? 

-Work on strategic aviation and operational optimization solutions .
-Build enterprise-scale data products used across Lufthansa Group .
-Utilize modern technologies including Azure Databricks, PySpark, and cloud-native services .
-Collaborate with experienced international engineering teams.
-Influence critical business decisions through data-driven solutions .
-Contribute to projects with direct operational impact.
If you are passionate about Data Engineering, cloud technologies, and transforming data into business value, we'd love to hear from you.

What we offer

  • An international working environment, atmosphere that stimulates development.
  • Individual career path.
  • Stable employment under an employment contract.
  • Lufthansa Group membership benefits.
  • Flexible working time and place adjusted to employee’s needs. Possibility of starting your workday between 07:00 and 11:00.
  • Support for your passion for sports within the local activity group and co-financing Multisport cards.
  • Private medical care for employees and their family members.
  • Life insurance.
  • Modern office in Oliwa – great location and comfortable workspace.
  • Atmosphere – small teams, high independence, real impact on the project.

Development opportunities we offer

  • conferences in Poland
  • external training
  • industry-specific e-learning platforms
  • intracompany training
  • mentoring
  • soft skills training
  • substantive support from technological leaders
  • technical knowledge exchange within the company

Benefits

  • sharing the costs of sports activities
  • life insurance
  • flexible working time
  • fruits
  • corporate products and services at discounted prices
  • integration events
  • no dress code
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • holiday funds
  • sharing the costs of holidays for kids
  • sharing the commuting costs

Lufthansa Systems

Lufthansa Systems Poland is acclaimed and widely recognized provider of superior services and IT solutions for the aeronautical, logistic and financial industries. As a part of the Lufthansa Group we implement technological solutions and dedicated services.

This is how we work

Data Engineer
9k–22k zł / mth. (CoE)
I apply to:
Lufthansa Systems
Gdańsk, Pomeranian
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