(Senior) Data Engineer - Group
--Corego--
Corego is an event technology company powering large-scale events and festivals. Our seamless payment and access control solutions ensure smooth operations and effortless experiences for attendees and organizers alike. Combining technical innovation with deep industry expertise, we help bring ambitious live experiences to life.
Job Description
As a Data Engineer, you'll join a growing team and take on a substantial role in developing and operating Corego's data platform with real influence over development. You'll work closely with product management, software developers, and our existing data/analytics team. It's a chance to make a lasting mark on the technology behind some of Europe's biggest live events.
You'll take ownership of Corego's data platform on Databricks — developing it, keeping it running reliably, and growing it as our data and AI needs evolve. Day to day, this includes:
Developing and evolving the platform's ingestion, lakehouse architecture, transformation pipelines, and orchestration
Building and maintaining the data models and pipelines that power analytics, reporting, and machine learning workloads across Corego Cloud (payments, access control, network, POS)
Maintaining strong data quality, testing, and CI/CD practices across the platform
Defining and evolving access control, data governance, and security standards (e.g. Unity Catalog)
On the operations side, you'll:
Run the platform in production — monitoring, incident response, and performance/cost optimization (cluster and compute management)
Extend the platform with new data products, pipelines, and use cases as Corego's data and AI roadmap grows
Collaborate with product management and developers to integrate data/ML outputs into business processes and customer-facing products
Own data reliability and scalability as usage and event volumes grow
Requirements
Degree in Computer Science, Data Engineering, or another relevant technical field
3+ years of hands-on data engineering experience designing and building data pipelines
Practical experience with Databricks (or an equivalent Spark-based platform), including PySpark and workflow orchestration
Experience with infrastructure-as-code and DevOps practices for data platforms
Experience with cloud platforms, ideally Microsoft Azure
Understanding of data security and governance best practices
Strong analytical thinking, attention to detail, and ability to manage your own workload
Ability to work independently and take initiative, while fitting well within the team
Proficiency in English
Why join us?
- Work with meaningful, growth-driven solutions — our technology powers seamless payment and access experiences for hundreds of thousands of people at some of Europe's most memorable live events, giving you a dynamic, forward-looking environment to build and grow in.
- Take on real ownership — you'll have genuine influence over how our data platform evolves, with the trust and space to shape decisions rather than just execute on them.
- Grow with an international team — you'll collaborate closely with experienced colleagues, contributing to Corego's international journey.
- Enjoy a culture that balances ambition and authenticity — we're professional, driven, and down-to-earth. We take our work seriously, without taking ourselves too seriously.
How to Apply
Apply for the position by sending us your CV and a short cover letter in PDF form via the Connect button. In your application, please let us know your availability, including your earliest possible start date and your salary expectations.
Please submit your application by 23 October 2026 at 23:59 EET. We actively review applications and interview candidates during the application period, and the position will be filled as soon as a suitable person is found. We therefore encourage you to apply as early as possible!
Questions about the recruitment process or the open position? Experiencing technical issues with the application system? Please contact us at niina.antila@corego.com or lara.henkes@corego.com.
We will keep all applicants informed about the progress of the process.
Please note that we only accept applications sent in English through the link below and do not accept applications sent through email.
Practical Information
This is a permanent, full-time position. Start date is flexible and will be discussed individually.
We are currently looking to hire a person either based in the greater Hamburg area in Germany or based in Finland, ideally within reasonable commuting distance of our Helsinki office. Both locations are partly remote, with occasional visits to the local office expected.
Considered an Advantage
- Databricks Certified Data Engineer Professional (or equivalent certification)
- Familiarity with ML models and tooling
- Experience with API- and microservice-oriented architectures
