Senior Data Engineer - Remote First

EPI Company; Brussel; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Remote-first culture

Work from another EU country up to 3–6

€5,000 training budget per year

Résumé du poste

European Payments Initiative (EPI) is seeking a Senior Data Engineer to own end-to-end data pipelines for payments and settlements. You will ingest data from operations and third-party sources into our lakehouse, design reliable batch and near-real-time processing, and collaborate with analytics, fraud, finance and product teams.

In a regulated environment, you’ll implement data contracts, governance and privacy-by-design principles, and build reusable tooling, templates and CI/CD patterns to

Qualifications

• 8+ years of professional experience in data engineering or related role with strong SQL and Python for production pipelines.
• Production experience with Databricks or equivalent lakehouse platform including governance, scheduling, and Delta Lake design; dbt modelling, testing and DAG management.
• Hands-on orchestration, CI/CD and deployment automation; designing data contracts, schema validation, freshness SLAs and ownership boundaries.
• Strong data governance and privacy-by-design knowledge, ideally in fintech/payments/regulated sectors; experience in monitoring, data quality and incident response.
• Ability to turn ambiguous business requirements into dependable, reusable data products and governed metrics.
• Fluent English (CEFR C1/C2) and capable of asynchronous communication in a distributed European team.

Responsabilités

• Design, build and maintain reliable batch and near-real-time data pipelines for payments, settlement, consumer and other data domains.
• Ingest and model data from operational systems, event stores and third-party sources into the lakehouse.
• Define and enforce data contracts covering schemas, ownership, quality expectations, freshness SLAs and breaking-change procedures.
• Implement orchestration, scheduling, retries, monitoring, alerting, reconciliation and incident response for production-grade pipelines.
• Apply governance and privacy-by-design principles, including GDPR/PSD2/DORA compliance and data access controls.
• Build reusable tooling, templates, CI/CD workflows and secure deployment patterns for data products.
• Optimise storage, compute, query performance and materialisation strategies; contribute to cloud cost governance.
• Collaborate with product, analytics, backend, fraud, finance and platform teams; document key decisions.

Connaissances

SQL

Python

Databricks

Orchestration

CI/CD

Data governance

Privacy by design

English communication

Formation

Bachelor’s or Master’s in CS/SE/IS

Outils

dbt

Terraform

AWS

Kafka

S3

GitHub Actions

Description du poste

Be part of a movement to change the way Europe pays

In today’s digital Europe, payments still feel too complicated. Random delays, confusing rules, extra apps and accounts make it harder than it should be to pay and get paid. The European Payments Initiative is changing that with Wero, a proudly European digital wallet that makes payments easier, clearer and more secure. Online, in store, at home and across borders, with money and data protected under European laws and regulations. Wero is live in Belgium, France and Germany and launching soon in Luxembourg and the Netherlands. Backed by 16 major banks and the two largest European acquirers, we are building a brand-new, proudly European payment system. Why not join us?

What’s In It For You

• Work on critical payment, settlement and consumer data products that support a growing European payment system.
• Help shape a modern, governed lakehouse platform used for reporting, product analytics, fraud, finance and operational decision-making.
• Build reliable data foundations in a regulated, high-trust environment where privacy, resilience and auditability matter.

At EPI, we embrace a remote-first culture, enabling our teams to work remotely from the country where they are based, with in-person meetings at least once a quarter to foster collaboration and connection.

About The Team

You will join the Data & Analytics team, reporting to Flora Stagnaro, Data Analytics Manager.

You will work with a high degree of autonomy within the technical direction set by the Technical Lead. You will collaborate across analytics, backend, fraud, finance, product and platform teams to deliver dependable, reusable and governed data products.

Your impact

• Design, build and maintain reliable batch and near-real-time pipelines for payments, settlement, consumer and other critical data domains.
• Ingest and model data from operational systems, event stores and third-party sources into EPI’s lakehouse.
• Define and enforce data contracts covering schemas, ownership, quality expectations, freshness SLAs and breaking-change procedures.
• Implement orchestration, scheduling, retries, monitoring, alerting, reconciliation and incident response for production-grade, idempotent workflows.
• Apply governance and privacy‑by‑design principles, including PII classification, access controls, retention and auditability in line with GDPR, PSD2, DORA and internal requirements.
• Build reusable tooling, templates, CI/CD workflows and secure deployment patterns for teams delivering data products.
• Optimise storage, compute, query performance and materialisation strategies, contributing to cloud cost governance.
• Collaborate with product, analytics, backend, fraud, finance and platform teams, documenting key technical and data decisions.

Technology stack

Primary

• Databricks platform - workspaces, jobs/workflows, DLT, Databricks SQL, Unity Catalog, Delta Lake
• Transformation - dbt
• Languages - SQL, Python
• Deployment & CI/CD —-Databricks Asset Bundles (DABs), GitHub Actions
• Infrastructure - Terraform and EPI's deployment patterns

Secondary

• AWS, including S3, IAM and relevant networking fundamentals
• Event-store and Kafka-based ingestion patterns, including schema evolution
• Data quality and observability frameworks
• Compute tagging, workload efficiency and resource attribution
• Jira, Confluence and Slack

To succeed, you should meet at least 70% of these requirements

Must have

• 8+ years of professional experience in data engineering, backend data systems or a closely related role, with strong SQL and solid Python skills for production pipelines.
• Production experience with Databricks or an equivalent lakehouse platform, including governance, scheduling, deployment and Delta Lake design, as well as dbt modelling, testing, documentation and DAG management.
• Hands‑on experience with orchestration, CI/CD and deployment automation, plus designing data contracts, schema validation, freshness SLAs and ownership boundaries.
• Strong data governance and privacy‑by‑design knowledge, ideally in fintech, payments, banking or another regulated sector, with experience in monitoring, data quality and incident response.
• Ability to turn ambiguous business requirements into dependable, reusable data products and governed metrics
• Fluent English (CEFR C1 or C2) and confidence communicating asynchronously in a distributed European team.

Nice to have

• Experience with event‑driven architectures, Kafka or equivalent event‑store patterns, including schema registries.
• Terraform or other infrastructure‑as‑code experience, containerised deployment patterns, and data observability or custom quality frameworks.
• Databricks or AWS certifications

Qualifications and seniority

• A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related field is preferred; equivalent practical experience is equally considered.
• Senior Data Engineer level, equivalent to IC3–IC4, with around 5–8 years of experience.
• This is an individual contributor role with mentoring expectations and no direct reports. You will own pipelines end‑to‑end and contribute to platform decisions.

If this looks like you, the recruitment steps are:

• A first call with one of our recruiters.
• A technical interview focused on data engineering expertise with Flora Stagnaro and Mathias Peters.
• A discussion‑based system design and case interview with Mathias Peters and Davy Osamulia. You will design a resilient payments data pipeline; there is no take‑home exercise.
• A final culture and values interview with Flora Stagnaro and a cross‑functional peer.
• Hopefully, an offer you can’t refuse.

We aim to complete the process within 2–3 weeks from recruiter screen to offer decision and provide candidate communication within 48 hours between stages.

Turn back if …

• You are looking for a data analyst or BI developer role focused primarily on dashboards.
• You are looking for a cloud infrastructure role where you will own the underlying infrastructure.
• You prefer a highly structured environment with no ambiguity or do not enjoy working autonomously in a distributed team.

What we can offer

• Remote‑first culture with quarterly and annual all‑staff in‑person meetups to keep teams connected and collaborative.
• Possibility to work from another EU country for up to 3 months per year.
• Competitive compensation package, featuring salary, performance‑based bonus and a thoughtfully designed, high‑quality benefits programme.
• The opportunity to be part of a pan‑European company shaping the future of European payments.
• Learning & development budget: €5,000 training budget per year.

EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving.