The

MarTech

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 PedidosYa.

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 (BigQuery, 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, BigQuery 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, CloudSQL 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

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