Data Engineer, Matter (Part-time contract)

Darkroom; Madrid; Presencial; EUR 45.000 - 60.000; A tiempo parcial

Descripción de la vacante

A leading digital agency in Madrid seeks a Data Engineer for a part-time contract role. You will architect and maintain data pipelines for an AI platform, collaborating with various teams. The ideal candidate has over 5 years of experience with data pipelines, strong Python skills, and a passion for building effective solutions.

Formación

• 5+ years of hands-on experience building production-grade data pipelines and ETL workflows.
• Experience architecting cloud-based data infrastructure.
• Familiarity with marketing analytics and BI tools is a plus.

Responsabilidades

• Architect, build, and optimize scalable data pipelines.
• Design and implement ETL processes for large datasets.
• Collaborate with teams to define data requirements for new features.

Conocimientos

Expert-level Python

Experience with dbt

Experience with Postgres

Experience with BigQuery

Experience with GCP services

Excellent communication skills

Descripción del empleo

Darkroom Madrid, Community of Madrid, Spain

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Darkroom Madrid, Community of Madrid, Spain

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We're building the future of advertising and are looking for the minds to help us do it.

What We’re Building

Darkroom is a vertically integrated digital agency that works with some of the most well known challenger brands in the consumer space. We’re now building a major technology layer that will mark the next major chapter of our firm.

Under the Darkroom umbrella, we are developing an AI coordination platform that provides shared AI memory, centralized agent control, and scalable infrastructure for creative teams. This is where you come in : we need someone who can architect and maintain data pipelines capable of supporting thousands of users as we scale.

About The Role

We are seeking a skilled Senior Data Engineer for a part-time contract with the potential to grow into a long-term role. You’ll collaborate with our CTO and product teams to design, build, and optimize robust data transformations and integrations for our always-on AI platform. Your work will have a direct, measurable impact on our product velocity and the success of both our internal ventures and the world-class brands we serve, from high-growth startups to household names.

Key Responsibilities

• 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.
• Ensure data reliability, integrity, and security at scale.
• Troubleshoot, performance-tune, and document all pipelines and data workflows for smooth handoff.

About You

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 marketing / digital marketing analytics, BI tools, and data visualization platforms is a big 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.

Low-ego, high-ownership, and passionate about building product-focused solutions.

Equal Opportunity Statement

Darkroom is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Job function Information Technology

Industries Advertising Services

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