Data Platform Engineer
SumUp
30+ DAYS
Seniority
Midweight
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
As part of the Platform tribe, you'll build a self-service, AI-ready Data Platform that powers SumUp's next big bets: data, AI, and real-time analytics. This role sits at the centre of designing and running the infrastructure that lets data engineers, analysts, and ML teams across the business ship reliable pipelines and products without reinventing the wheel each time.
What you'll do
- Build and evolve the data platform's infrastructure (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled, and auditable
- Take end-to-end ownership of the reliability, performance, and scalability of the Data and AI platforms
- Develop self-service features, including for ETL and orchestration, so teams can move faster without bespoke integrations
- Automate operations to keep the platform highly available and cost-efficient as demand grows
- Evaluate emerging technologies and shape adoption strategies that improve platform capabilities and business outcomes
- Partner with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than one-off integrations
What you'll need
- More than 4 years of experience building internal platforms consumed by other teams, in a Data, Platform, or Software Engineering role
- Strong software engineering background in Python or Go, along with solid SQL skills
- Hands-on knowledge of infrastructure and containerisation, such as Terraform, Helm, Docker, and Kubernetes
- Comfort working with observability, monitoring, alerting, and platform reliability engineering practices
- Experience in modern data stack (dbt, Snowflake, Trino, Airflow, etc.)
- Track record of setting up SDLC practices for analytics teams, including Git workflows, CI/CD, testing, and documentation standards
Nice to have
- Real-time streaming experience (e.g. Kafka, Flink, StarRocks, Pinot, Druid, ClickHouse)
- Experience working with systems at petabyte scale
- Experience implementing AI-enabled systems, such as agentic SRE or AI automation
What they offer
- 28 days of paid leave plus public holidays and special leave days
- Virtual Stock Option programme
- Annual L&D budget of €2,000
- Corporate pension scheme with 20% matching
- Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
- 1-month sabbatical after 3 years of service

