Lead Data Engineer

Búsqueda Avanzada
Barcelona, Spain
23 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Compensation
€60,000.0 - €65,000.0
Working hours
Regular working hours
Languages
English, Russian
Job source

Tech stack

Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Database Information Engineering Python (Programming Language) PostgreSQL RabbitMQ Snowflake Debezium Kubernetes
+3 more
Apache Kafka Data Delivery Grpc

Job description

  • Implement CDC-based ingestion from PostgreSQL services (RDS, Aurora, EC2, K8s operator) using Debezium or equivalent.
  • Build streaming and near-real-time pipelines with defined SLAs.
  • Build a data quality control layer: checksums, reconciliation, schema validation, anomaly detection, and alerting.
  • Define quality checkpoints across the full pipeline - from source capture through Snowflake to client delivery.
  • Define and enforce data contracts with service-owning teams for core entities: transaction, merchant, settlement, and processing status.
  • Build the external data delivery layer: financial settlement, transaction status, processor reconciliation, and client analytics.
  • Design tenant separation and implement replay/reload mechanisms for failure recovery.
  • Start hands-on, then gradually hire and grow a small data engineering team as the function matures. Build a pragmatic roadmap with concrete deliverables at 3, 6, and 12 months.

Requirements

  • 5+ years in data engineering with end-to-end ownership of production pipelines.
  • Hands-on with Snowflake, PostgreSQL CDC (Debezium preferred), and Kafka.
  • Solid AWS experience - S3, RDS, Aurora, and cloud data infrastructure.
  • Data quality engineering mindset: monitoring, reconciliation, lineage.
  • Comfortable defining data contracts and driving requirements with backend engineering teams.
  • Technical leadership experience: project ownership, cross-team alignment, delivery under constraints.
  • Kubernetes, Airflow/Prefect/Dagster, and dbt are strong pluses.
  • Payments domain knowledge - settlement, transaction lifecycle, processor integrations - is a strong plus.
  • Familiarity with gRPC, RabbitMQ, and reading Go/Python service code is expected.
  • English language skills at the B2 level and fluent russian language.

Benefits & conditions

  • An opportunity to make something great even greater, you can be the reason why we grow, develop, and become the best fintech company on the market!
  • Career prospects - we are young, we have huge ambitions, and it is important that our employees grow with us
  • Work with coworkers who are passionate about their business
  • Compensation that will fully correspond to the competence and knowledge, with yearly performance reviews
  • Remote work
  • 20 days of vacation time; bank holidays; sick leaves; additional birthday day off Powered by JazzHR Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

About the company

Visium SA Valencia Volver a la última búsqueda Trabajos ) Lead Data Engineer (Partner Company Role) ( volver a la última búsqueda Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

Profesiones

  • Técnico
  • Recepciónista
  • Administrador
  • Ventas
  • Enfermero

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:56 min

Establishing internal service communication with gRPC

Florian Bader Florian Bader · WWC Europe 2026

49 sec

Processing asynchronous event streams via standard messaging patterns

Patrick Koss Patrick Koss · WWC 2024

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:11 min

Evaluating architectural trade-offs between REST and gRPC

Sakshi Nasha Sakshi Nasha · Europe 2026 Virtual

Videos

See all

Related articles

See all