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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on designing and maintaining end-to-end data pipelines and data modeling for AI solutions and business insights. Key technologies include Azure, Databricks, PySpark, Python, and SQL. Responsibilities involve building and optimizing pipelines, developing platform components, and data integration. CI/CD usage and troubleshooting production issues are required. The role includes technical support and team development.
Junior Data Engineer
Company: FALCK DIGITAL TECHNOLOGY POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
from: 27 July 2026
to: 26 August 2026
13 000 - 17 000 złgross/ mth.contract of employment (full-time)
Requirements
Expected technologies
SQL
Python
PySpark
Databricks
Azure
Our requirements
- Experience in data engineering.
- Experience taking on more complex tasks with guidance and support from senior team members.
- Ability to build and maintain data pipelines for various common data sources.
- A good understanding of data modeling concepts and their practical application.
- Experience in our core technical stack: Azure, Databricks, PySpark, Python, and SQL.
- Comfortable using CI/CD pipelines for deployment and a pragmatic approach to troubleshooting.
Optional
- Familiarity with implementing AI solutions and creating applications for AI use cases.
Your responsibilities
- Design, build, and maintain core data pipelines and reusable frameworks using PySpark, Python, and SQL on our Databricks platform.
- Develop foundational platform components that enable other teams to build their data solutions faster and more reliably.
- Help integrate a wide variety of data sources into the platform in a standardized and scalable way.
- Take ownership of the quality of your code by writing unit tests, performing peer code reviews, and contributing to technical documentation.
- Investigate and resolve bugs and performance issues in the core platform components, asking for support from senior engineers when needed.
- Contribute to team-level standards for code, templates, and infrastructure to improve the platform's robustness.
- Work comfortably with the core components of our data platform, Databricks and PySpark, to build and optimize data processing tasks.
- Use our CI/CD pipelines to deploy platform services to the Azure cloud, and independently investigate and resolve common pipeline failures.
- Collaborate daily with other engineers on the platform team and with the engineers in other teams who use your frameworks.
- Act as a source of advice for junior team members on standard technical issues and help onboard new colleagues.
- Proactively seek and incorporate feedback from seniors and peers to drive your own learning and professional development.
About the project
This is a role for someone with a solid foundation in data engineering who is eager to apply their skills to solve tangible business challenges, deliver data-driven insights, and contribute to innovative AI applications.
Your focus will be on designing, building, and maintaining the end-to-end data pipelines and data models that answer critical business questions.
You will join our growing community of 60+ data and AI professionals across Copenhagen and Warsaw.
While based in our Warsaw hub, your role will focus on building and delivering critical data solutions for our Group Functions.
This is how we organize our work
This is how we work
in houseagile
What we offer
- A fantastic opportunity to deepen your technical expertise by applying your engineering skills to complex challenges across diverse business domains.
- Hands-on involvement in strategic AI projects.
- Opportunity to see the direct impact of your data pipelines on strategic initiatives.
- Grow your skills in a collaborative environment, learning from senior engineers.
FALCK DIGITAL TECHNOLOGY POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Falck's Data, Insights & AI department brings together experts in data engineering, analytics, AI, automation, and business partnering to support a global healthcare and emergency services organisation.
With 60+ professionals in our Copenhagen and Warsaw hubs, we combine deep technical expertise with strong business understanding to build data and AI solutions that are reliable, scalable, and actually used.
We work closely across the business and with central technology teams.
We invest in our people, encourage T-shaped development, and foster a culture of care, trust, and collaboration – turning care into action through data and AI.
Junior Data Engineer
13k–17k zł / mth. (CoE)
I apply to:
FALCK DIGITAL TECHNOLOGY POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Wola
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.