Data Engineer Junior/Mid, WARSAW
Experience & track record:
- Experience in data engineering.
- Work closely with Business Analysts to transform defined business requirements into robust, scalable, and high-quality data solutions.
- Experience taking on more complex tasks with guidance and support from senior team members.
- Familiarity with implementing AI solutions and creating applications for AI use cases is a plus.
Skills & capabilities:
- Experience in our core technical stack: Azure, Databricks, PySpark, Python, Azure Data Factory and SQL
- Ability to build and maintain data pipelines for various common data sources.
- A good understanding of data modeling concepts and their practical application.
- You are comfortable using CI/CD pipelines for deployment and have a pragmatic approach to troubleshooting.
- Contribute to the implementation of AI solutions.
We are looking for a motivated Data Engineer with a developing T-shaped profile. 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.
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. You will work with stakeholders from central corporate departments (such as HR and Sustainability) and be responsible for translating their strategic goals into tangible data solutions — from engineering high-performance pipelines to contributing to the implementation of AI and the creation of new applications for its use cases.
As a Data Engineer supporting our Group Functions, your focus will be on designing, building, and maintaining the end-to-end data pipelines and data models that answer critical business questions. Through expert data modeling and robust pipeline development, you will unlock the potential for advanced analytics and fuel the creation of next-generation AI applications.
This role is a fantastic opportunity to deepen your technical expertise by applying your engineering skills to complex challenges across diverse business domains, including hands-on involvement in our strategic AI projects. You will see the direct impact of your data pipelines on strategic initiatives and grow your skills in a collaborative environment, learning from senior engineers and becoming a well-rounded expert who bridges the gap between raw data and business value. engineering foundation, you leverage modern tools like AI to champion continuous improvement while developing your T-shaped skills by learning more about the business context, analytics, and AI.
About us
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. This role is part of our mission-critical Data Platform team, which provides the shared standards and frameworks to accelerate delivery for the entire organization. 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.
,[Design, build, and maintain core data pipelines and reusable frameworks using PySpark, Python, and SQL on our Databricks platform., Work closely with Business Analysts to transform defined business requirements into robust, scalable, and high-quality data solutions., 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., Contribute to the implementation of AI solutions., Proactively seek and incorporate feedback from seniors and peers to drive your own learning and professional development.] Requirements: SQL, Data engineering, PySpark, Python, Databricks, Azure, Azure Data Factory, Communication skills, CI/CD Pipelines, Data modeling Tools: Wiki, GitHub, SharePoint, Agile, Scrum, Kanban. Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, Free snacks, Mobile phone, Free parking, In-house trainings, Modern office, No dress code, Free breakfast.