Senior Data Engineer - Remote First

European Payments Initiative (EPI); España; Remote; EUR 70.000 - 120.000; Vollzeit

Zusammenfassung

European Payments Initiative (EPI) is hiring a Senior Data Engineer to design and maintain scalable data pipelines for payments and analytics. You will ingest data from multiple sources into a governed lakehouse, enforce data contracts, and implement orchestration and CI/CD patterns in a privacy-first European environment.

You will collaborate with analytics, backend, fraud, finance and platform teams to deliver reusable data products with strong governance and performance optimization.

Qualifikationen

• 8+ years of experience in data engineering or backend data systems with production pipelines.
• Hands-on with Databricks or equivalent lakehouse platform including governance and Delta Lake design.
• Experience with orchestration, CI/CD and deployment automation; data contracts and schema validation.
• Strong data governance and privacy-by-design knowledge in regulated sectors (fintech/payments).
• Ability to translate ambiguous business requirements into dependable data products and metrics.
• Fluent English (CEFR C1/C2) and comfortable communicating asynchronously in a distributed team.

Aufgaben

• Design, build and maintain reliable batch and near-real-time data pipelines for payments, settlements and analytics.
• Ingest and model data from operational systems, event stores and third-party sources into the lakehouse.
• Define data contracts, ownership, quality, freshness SLAs and breaking-change procedures.
• Implement orchestration, monitoring, retries, alerts and incident response for production-grade workflows.
• Apply governance, privacy-by-design, including GDPR/PSD2/DORA alignment, access controls and retention policies.

Kenntnisse

SQL

Python

Asynchronous communication

Data governance

Cloud data pipelines

Ausbildung

Bachelor's or Master's in CS/SE/IS

Tools

Databricks

dbt

CI/CD

Terraform

GitHub Actions

Kafka

Jobbeschreibung

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 experien