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11 часов назад

Senior Data Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Spain
Релокация
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Engineer (Fintech): Building and optimizing a modern Lakehouse and Data Mesh architecture using AWS, dbt, and Dagster with an accent on data modelling, pipeline reliability, and scalability. Focus on owning the dbt modelling layer, architecting asset-based pipelines, and integrating complex streaming and batch data sources.

Location: Hybrid, based in Barcelona, Spain

Company

A profitable fintech and BNP Paribas company specializing in complex FX transaction processing.

What you will do

  • Take full ownership of the dbt modelling layer, from design and testing to performance optimization across staging and mart tiers.
  • Architect and manage Dagster asset pipelines to handle both batch and streaming workloads.
  • Define and enforce high standards for SQL transformations and data modelling across domain teams.
  • Integrate new data sources into the platform through batch and streaming ingestion pipelines.
  • Implement data tests, CI/CD validations, and peer reviews to ensure high code quality.
  • Contribute to data product development within a Data Mesh architecture.

Requirements

  • 6+ years of experience in Data Engineering with a track record of owning production pipelines end-to-end.
  • Strong expertise in SQL, dbt, and data modelling principles (dimensional modelling, star schema, SCDs).
  • High-level proficiency in Python for scripting, testing, and orchestration logic.
  • Experience with big data tools such as Trino, Spark, Kafka, or RabbitMQ.
  • Familiarity with Apache Iceberg or other Lakehouse formats (Delta, Hudi).
  • Fluent English proficiency and EU work authorization (preferred).

Nice to have

  • Exposure to Data Mesh or Data Contracts concepts.
  • Experience with AWS services including S3 and EKS (Kubernetes, Helm).
  • Familiarity with data quality tools like Great Expectations or Soda.
  • Understanding of GitOps workflows, CI/CD pipelines, or infrastructure as code.

Culture & Benefits

  • Relocation package provided if required.
  • Private health insurance and sponsored learning and development budget.
  • Hybrid working model with flexible hours and short Fridays.
  • 29 days of annual leave.
  • Free language lessons (Spanish, English, French, and Catalan).
  • Office perks including restaurant tickets, gym discounts, and a Barcelona office with 360° views.

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