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Senior Data Engineer - Remote First

EPI Company·Salary not specified

Primary stack

SQLPythonDatabricksdbtTerraform

Nice to have's

KafkaTerraformDatabricksAWS

Job description

About the Position

🚀 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.

Responsibilities

  • 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.

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.

We 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.

🫶 Our commitment to equal employment opportunities

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.

Otherwise, apply!

© EPI Company. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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