OverviewIn this Senior Data Engineer role, you own data domains end-to-end within the MarTech analytics engineering team that underpins performance marketing across Delivery Hero brands.

You design and maintain pipelines and curated data models at general scale, turning diverse data into reliable datasets used for budget allocation, bidding, and model-driven decisioning.

You work across BigQuery, dbt, Airflow, Pub/Sub, and Spark, partnering with stakeholders to translate needs into data contracts and reliable interfaces.

You'll drive reliability, governance, and scalable analytics that directly influence marketing effectiveness.

Compensaciones / BeneficiosTop-notch private health insurance

Monthly Glovo credit

Cobee discounts on transport, food and kindergarten

Discounted gym memberships

Extra time off with remote work flexibility

Enhanced parental leave

ResponsabilidadesOwn data domains end-to-end from requirements to production, monitoring and daily operation

Evolve pipeline domains (ingestion, activation, feeds, measurement curation) on Airflow, BigQuery and dbt

Define data contracts and curated models with clear semantics and stable interfaces

Apply dimensional/incremental modelling, historisation, partitioning and clustering

Maintain large transformation DAGs and ensure reliability by design

Define tests, freshness SLAs and anomaly checks to reduce incidents

Design for idempotency, deduplication, backfills and late-arriving data

Deliver activation and partner integrations with ad platforms (Adjust, Google, Smartly, Reddit, Pinterest, LINE, Channable, Braze)

Handle API,



Pub/Sub and file-based ingestion (GCS, S3, CloudSQL replicas) and related failure modes

Turn vague requests into data contracts and escalate when blocked

Engage with staff/principal engineers on hard architectural questions

Govern data lineage, access control, PII policy tags and GDPR-compliant handling across domains

Review code, set standards, mentor junior team members

Drive knowledge sharing within the chapter and Delivery Hero

Requisitos principalesEnd-to-end pipeline ownership from requirements through production and maintenance

Advanced SQL and data modelling in BigQuery (dimensional, incremental, historisation, partitioning, clustering)

dbt model structure, tests, documentation and macros for large transformation DAGs

Orchestration and integration: Airflow DAG design, Pub/Sub, API and file-based ingestion (GCS, S3, CloudSQL replicas); ensure idempotency and proper backfills

Strong Python and SQL, modularisation, tests, CI/CD, version control, monitoring

Data governance and privacy: lineage, access control, PII tags, GDPR-compliant handling in multi-entity markets

Stakeholder partnership under ambiguity: turning vague requests into data contracts; escalate when blocked

AI fluency and agentic workflows: leveraging LLM-driven tools to scale data engineering work

Technical maturity: know when to decide independently vs. escalate to staff/principal engineers

MarTech domain exposure: attribution, ad platform APIs, server-to-server flows, feeds and audience syncs

Stakeholder collaboration

Ambiguity tolerance

Mentoring and knowledge sharing

BigQuery dbt

Airflow

📌 Senior Data Engineer - Martech - Glovo (Barcelona)
🏢 Glovo
📍 Barcelona