Senior Data Engineer - MarTech

About the role

Glovo's MarTech analytics engineering team builds and runs the data foundation behind performance marketing: pipelines covering ingestion, server-to-server activation, marketing feeds, measurement and acquisition optimisation, serving brands such as Glovo, Talabat and PedidosYa. The team turns raw partner, app and order data into curated datasets used daily for budget allocation, bidding, campaign activation and data science. The Senior Data Engineer owns data domains end-to-end, from design and architecture through rollout, monitoring and daily operation.

Key responsibilities

• Own and evolve pipeline domains (ingestion, activation, feeds, measurement curation) on Airflow, BigQuery and dbt, and take domains from requirements to production, monitoring and daily operation
• Design and maintain curated models with clear contracts, documented semantics and stable interfaces, applying dimensional and incremental modelling, historisation, partitioning and clustering
• Keep large transformation DAGs maintainable and define tests, freshness SLAs and anomaly checks to reduce incidents and time-to-detect
• Design for idempotency, deduplication, backfills and late-arriving data, and improve runtime, cost and backfill behaviour
• Build outbound activation flows to ad platforms (Adjust, Google, Smartly, Reddit, Pinterest, LINE, Channable, Braze) and handle API, Pub/Sub and file-based ingestion (GCS, S3, CloudSQL replicas)
• Turn vague requests from data scientists, analysts and marketers into data contracts, escalate when blocked and push back on incorrect requests
• Own lineage, access control, PII policy tags and GDPR-compliant handling, and review code, set standards and mentor juniors

Required profile

• Experience owning data domains in production, from requirements through production, monitoring and daily maintenance
• Advanced SQL and data modelling, with judgment on when to apply each technique
• Ability to turn ambiguous stakeholder requests into data contracts
• Use of AI-driven or tool-using agents to scale data engineering work, with a clear view of their limits
• Technical maturity: knowing when to decide and when to reach up to staff and principal engineers
• MarTech domain exposure (attribution, ad platform APIs, server-to-server conversion flows, feeds and audience syncs) is a plus, not required

Required skills

• BigQuery, dbt, Airflow, Pub/Sub, Spark
• Python and SQL, with modularisation, testing, CI/CD and version control
• Data governance: lineage, access control, PII tagging and GDPR compliance

What we offer

• Private health insurance
• Monthly Glovo credit
• Cobee discounts on transport, food and kindergarten, and discounted gym memberships
• Extra time off, two days of work from home per week and up to three weeks working from anywhere per year
• Enhanced parental leave and an office-based nursery
• Online therapy and wellbeing benefits