Data Engineer

Darkroom
Barcelona, Spain
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Barcelona, Spain

Tech stack

Artificial Intelligence
Data analysis
Big Data
Google BigQuery
Data as a Services
Data Infrastructure
ETL
Data Visualization
Data Flow Control
Python
PostgreSQL
Alwayson
Google Cloud Platform
Data Pipelines
Microservices

Job description

We are seeking an experienced Senior Data Engineer. You'll work closely with our CTO, CPO, and product teams to architect, build, and deliver robust data pipelines and transformations for our always-on AI platform. Success in this role will have a direct, measurable impact on business outcomes and future product velocity., * Architect, build, and optimize scalable end-to-end data pipelines using dbt and our stack (Python microservices, Postgres, BigQuery, and GCP).

  • Design, implement, and maintain ETL/ELT processes to ingest, clean, and transform large datasets from a variety of sources.
  • Collaborate with product and engineering to define data requirements for new product features and analytics initiatives.
  • Manage our data pipeline by onboarding new clients, loading their data, and applying all required formulas.
  • Maintain and troubleshoot workflows by fixing broken formulas, adding new services, and ensuring reliable, high-throughput performance.
  • Ensure data reliability, integrity, and security at scale.
  • Troubleshoot, performance-tune, and document all pipelines and data workflows for smooth handoff.

Requirements

Do you have experience in Python?, * 5+ years of hands-on experience building production-grade data pipelines, ETL/ELT workflows, and transformed datasets at scale.

  • Expert-level Python; strong experience with dbt, Postgres, BigQuery, and core GCP data services (e.g., Dataflow, Pub/Sub, Storage, Composer).
  • Demonstrated experience architecting, optimizing, and troubleshooting cloud-based data infrastructure.
  • Familiarity with analytics, BI tools, and data visualization platforms is a plus.
  • Startup or contract/consulting experience strongly preferred; you move quickly and commit to clear deliverables and deadlines.
  • Excellent communication skills: you read requirements carefully, keep stakeholders looped in, and document as you go. You can boil down complex tasks into plain english for non-data engineers to understand.
  • Low-ego, high-ownership, and passionate about building product-focused solutions.

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