Data Engineer

What you’ll do:

• Build and operate the data pipelines that pull data from Cape.io’s departmental databases, product platforms, and third-party systems (NetSuite, HubSpot, Zendesk) into a unified platform.
• Establish the data quality and deduplication patterns that make the platform trustworthy: entity resolution across overlapping source systems, and clear provenance for every dataset.
• Set up lineage and cataloguing so that any dataset consumed downstream is traceable and documented.
• Partner with our AI/ML engineers to shape how data is structured, versioned, and served to AI agents and models.
• Partner with product engineers to model and integrate data from Cape.io’s product platforms.
• Use AI-assisted tooling (LLM code generation, schema mapping, validation) as part of how you work.

What you’ll bring:

• 3–5 years building production data pipelines. Doesn’t need to be at massive scale; it needs to be systems real people depended on.
• Hands-on experience across the full modern data stack: orchestration (Airflow, Dagster, or Prefect), transformation (dbt), and warehousing (Snowflake, BigQuery, or Databricks).
• Solid Python and SQL. You write code other people will need to read.
• Experience pulling data from SaaS and business systems (NetSuite, HubSpot, Zendesk, Salesforce, or equivalent) via APIs, connectors, or event streams.
• Hands-on experience with AWS or GCP. We use both.
• A demonstrable habit of using AI tools (Cursor, Claude, Copilot, or similar) in your day-to-day engineering work.
• A visible learning footprint we can look at: GitHub, a blog, a talk, or projects you can point us to.
• Eligible to work in the UK or the Netherlands. We do not sponsor visas.
• Strong written and verbal communication.

Bonus:

• Media, advertising, or Adtech experience, especially the fragmented data typical of media operations across markets.
• MDM, data lineage, or cataloguing tooling (OpenLineage, DataHub, Atlan, or similar) used in a serious role.
• Understanding of how AI systems consume data: vector databases, embeddings, feature stores, and RAG patterns.
• Real-time or event-driven architectures (Kafka, Pub/Sub, streaming pipelines).
• Familiarity with media-specific systems (traffic, clearance and compliance, creative asset management, campaign management).

About the data platform:

The challenge: Cape.io operates in 100+ countries. Our data lives across departmental databases, product platforms (creative automation, compliance-and-clearance, distribution), and third-party systems like NetSuite, HubSpot, and Zendesk. Right now, nobody owns unifying it.

The solution: We’re building the first proper data platform at Cape.io from the ground up — one that ingests data from dozens of sources, deduplicates and governs it, keeps a clear provenance chain, and makes the result accessible to the AI agents, analytics workflows, and downstream teams that depend on it.

Your impact: You’ll be the only person on the central data layer, partnering with our AI/ML engineers on how the data is consumed and with product engineers on the product-side data. This is an individual contributor role today. If the team grows, it has a credible path into a lead position.

Our DNA: How we work

• Move smart: Hesitation kills momentum. We combine speed with intelligence, turning complex challenges into automated solutions. Every experiment teaches us, every failure makes us stronger.
• Define tomorrow: We’re not here to meet expectations; we’re here to reset them. Our mission demands unprecedented quality, security, and scale. We push the boundaries of what’s possible.
• Be better together: Success multiplies when shared. We step up, dig in, and make things better for each other. Through open collaboration and fierce support, we turn individual potential into collective achievement.
• Change what’s possible: Creativity drives humanity forward. Our technology exists to amplify it, protect it, and let it soar. We remove barriers between great minds and great work.

Ownership of the first proper data platform at Cape.io from day one. Direct collaboration with the Head of AI Operations and Group CTO on how data fuels what we’re building in AI. AI-assisted tooling as the default in your workflow, with budget to match. Competitive salary and benefits package. A culture of learning and development with a clear path for progression. A global, diverse, and collaborative team. The opportunity to work on a market-leading product that is defining the future of advertising.

Please note this role can be based from London, Amsterdam or Tilburg. 2 days per week in your chosen office but you must be eligible to work in the UK or Netherlands as we cannot sponsor visas. Cape.io is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that the best teams are made up of people with different backgrounds, perspectives, and skills. We encourage you to apply even if you don’t check every single box!