Senior Data Engineer
About this role
About the Job
The Card Not Present (CNP) Protect is a cross-functional team within the Risk & Compliance tribe that’s shaping SumUp’s global approach to fraud prevention. Our team is responsible for fraud prevention in our card-not-present products. We build cutting-edge systems and ML solutions for automated decision-making in the CNP space.
The Senior Data Engineer role is critical for creating a robust, high-quality data foundation that drives efficiency and enables data-driven decisions for the Risk & Compliance teams. You will build and operate the production data layer that powers automated decisioning for CNP fraud detection. You will own feature jobs and work closely with the ML Platform team to build and scale the pipelines. Our roadmap includes building infrastructure to generate and publish foundation model embeddings.
Join us to shape the future of financial safety and make a lasting impact!
What You'll Be Doing
Design, build, and operate production-grade, Python-based data pipelines that power ML workflows, including real-time and near-real-time data processing and aggregations.
Own end-to-end data quality and reliability by implementing validations, automated testing, monitoring, and alerting — with clearly defined SLAs and ownership boundaries.
Strengthen and document our data foundations and governance, covering architecture, data lineage, dataset definitions, and dependency management.
Partner closely with the Risk Platform, ML Data Platform, and cross-functional teams — including data scientists, software engineers, and analysts — to align on requirements and deliver changes safely to production.
Drive Feature Store governance, improve usability and standardize our Feature store setup.
You’ll Be Great for This Position If You Have
4+ years of experience as a Data Engineer, focusing on building and deploying scalable data solutions.
Strong proficiency in Python and PySpark, with solid software development engineering skills for designing computationally effective solutions in large-scale production environments.
Experience with feature stores and feature engineering pipelines (building and maintaining enriched attributes for online/offline use).
Experience building and maintaining data pipelines, with a good understanding of API design, containers (Docker), and version control (Git).
Experience with AWS technologies (S3, EKS, Keyspaces, Athena) or equivalent cloud provider.
Experience with streaming or event-driven architectures (e.g., Kafka) and familiarity with open table formats (e.g., Apache Iceberg, Delta Lake).
Responsibilities
- Design, build, and operate production-grade, Python-based data pipelines that power ML workflows, including real-time and near-real-time data processing and aggregations.
- Own end-to-end data quality and reliability by implementing validations, automated testing, monitoring, and alerting — with clearly defined SLAs and ownership boundaries.
- Strengthen and document our data foundations and governance, covering architecture, data lineage, dataset definitions, and dependency management.
- Partner closely with the Risk Platform, ML Data Platform, and cross-functional teams — including data scientists, software engineers, and analysts — to align on requirements and deliver changes safely to production.
- Drive Feature Store governance, improve usability and standardize our Feature store setup.
- 4+ years of experience as a Data Engineer, focusing on building and deploying scalable data solutions.
- Strong proficiency in Python and PySpark, with solid software development engineering skills for designing computationally effective solutions in large-scale production environments.
- Experience with feature stores and feature engineering pipelines (building and maintaining enriched attributes for online/offline use).
- Experience building and maintaining data pipelines, with a good understanding of API design, containers (Docker), and version control (Git).
Requirements
- Experience with AWS technologies (S3, EKS, Keyspaces, Athena) or equivalent cloud provider.
- Experience with streaming or event-driven architectures (e.g., Kafka) and familiarity with open table formats (e.g., Apache Iceberg, Delta Lake).
- Experience working in Fintech or Risk & Compliance domains
- Experience with embeddings/representation learning pipelines
- Self-driven, proactive, and highly adaptable in a fast-paced environment, with a commitment to data governance, quality, and ownership.
- Someone who values collaboration and enjoys working across disciplines
- Curiosity about AI technology and an excitement to power SumUp's next generation of automated tools, with the ability to translate complex concepts for non-technical stakeholders
- A commitment to data governance, quality, and ownership
Nice to have
- Experience working in Fintech or Risk & Compliance domains
- Experience with embeddings/representation learning pipelines
- We'd love to hear from you, even if you don't tick every box — what matters most to us is how you think, collaborate, and grow. If you meet the core requirements, we encourage you to apply!
- Ways of Working
- Self-driven, proactive, and highly adaptable in a fast-paced environment, with a commitment to data governance, quality, and ownership.
- Someone who values collaboration and enjoys working across disciplines
- Curiosity about AI technology and an excitement to power SumUp's next generation of automated tools, with the ability to translate complex concepts for non-technical stakeholders
- A commitment to data governance, quality, and ownership
- Why you should join SumUp
- 🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup.
- 🌈 Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced.
- 🚀 Enrolment in our Virtual Stock Option programme: you will own a stake in SumUp’s future success.
- 📚 A dedicated annual L&D budget of €2000 for attending conferences and/or advancing your career through further education.
- 💶 A corporate pension scheme where we match up to 20% of your contributions.
- 🏖️ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days.
- 🚵🏾♂️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches.
- 🌴 Break4me: 1-month sabbatical after 3 years of service.
- 🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team.
About SumUp
At SumUp, we’re on a mission to empower small businesses around the world with simple, affordable tools to help them start, run, and grow. More than 4 million merchants across 36 markets trust us as their financial partner — and we’re just getting started. We’re a global team of 3,000+ people from over 90 nationalities, united by curiosity, collaboration, and care. Our core values and culture shape everything we do, fostering inclusion, learning, and belonging. SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, or any other basis protected by applicable laws or prohibited by company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. SumUp will not accept unsolicited resumes from any source other than directly from a candidate 👉 Explore more about our culture on our careers site, or follow us on LinkedIn and Instagram. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.