The Mar Tech analytics engineering team builds and operates the data foundation behind performance marketing at Delivery Hero: the production pipelines that cover ingestion, server-to-server activation, marketing feeds, measurement and acquisition optimisation, serving every brand in the group, including Glovo, Talabat and Pedidos Ya.
We turn raw partner, app and order data into curated, trusted datasets that budget allocation, bidding, campaign activation and data science models depend on daily. Correctness here is not academic. When a pipeline is wrong, marketing spend moves in the wrong direction.
We are looking for a Senior Data Engineer to own domains of this platform end-to-end: modelling, pipeline design, data quality, and the data contracts our stakeholders build on. You will work across a broad technical surface (Big Query, dbt, Airflow, Pub/Sub, Spark) at integral scale, and you will be the person stakeholders come to when a domain needs to be designed, not just maintained.
In this role you will,
Own data domains end-to-end Own and evolve pipeline domains (ingestion, server-to-server activation, feeds, measurement curation) on Airflow, Big Query and dbt, from design and architecture through rollout and ongoing maintenance
Take a domain from requirements to production, monitoring and daily operation, rather than handing it over at deployment
Balance engineering rigour against business constraints and timelines Design the curated layer others build on Design and maintain the curated models that budget allocation, bidding and data science models consume, with clear contracts,



documented semantics and stable interfaces
Apply dimensional and incremental modelling, historisation, partitioning and clustering, and judge when each applies
Keep a large transformation DAG maintainable as scope and team size grow Make reliability the default, not the reaction Define tests, freshness SLAs and anomaly checks across owned domains, reducing incident rate and time-to-detect instead of reacting after stakeholders notice
Design for idempotency, deduplication, backfills and late-arriving data
Improve runtime, cost and backfill behaviour of owned pipelines, with measurable before and after numbers Deliver activation and partner integrations Build reliable outbound flows to ad platforms (Adjust, Google, Smartly, Reddit, Pinterest, LINE, Channable, Braze), where correctness directly moves marketing spend
Handle API, Pub/Sub and file-based ingestion (GCS, S3, Cloud SQL replicas) and the failure modes each brings Turn ambiguous requests into data contracts Translate vague requests from data scientists, analysts and marketing teams into defined data contracts, escalating when blocked and pushing back on the wrong ones
Reach up to staff and principal engineers on hard architectural questions rather than working in isolation Govern data responsibly Own lineage, access control, PII policy tags and GDPR-compliant handling across your domains Raise the engineering bar Review code, set standards, and mentor junior members of the chapter
Drive knowledge sharing within the chapter and across Delivery Hero #J-18808-Ljbffr

📌 Senior Data Engineer – Martech (Villanueva y Geltrú)
🏢 Glovo Group
📍 Villanueva y Geltrú