Data engineer in MarTech (Barcelona)

Data engineer in MarTech (Barcelona)

07 nov
|
Delivery Hero
|
Barcelona

07 nov

Delivery Hero

Barcelona

ОписаниеGlovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.ЗадачиOwn 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 maintenanceTake a domain from requirements to production, monitoring and daily operation, rather than handing it over at deploymentBalance engineering rigour against business constraints and timelinesDesign and maintain the curated models that budget allocation, bidding and data science models consume, with clear contracts, documented semantics and stable interfacesApply dimensional and incremental modelling, historisation, partitioning and clustering, and judge when each appliesKeep a large transformation DAG maintainable as scope and team size growDefine tests, freshness SLAs and anomaly checks across owned domains, reducing incident rate and time-to-detect instead of reacting after stakeholders noticeDesign for idempotency, deduplication, backfills and late-arriving dataImprove runtime, cost and backfill behaviour of owned pipelines, with measurable before and after numbersBuild reliable outbound flows to ad platforms (Adjust, Google, Smartly, Reddit, Pinterest, LINE, Channable, Braze),



where correctness directly moves marketing spendHandle API, Pub/Sub and file-based ingestion (GCS, S3, CloudSQL replicas) and the failure modes each bringsTranslate vague requests from data scientists, analysts and marketing teams into defined data contracts, escalating when blocked and pushing back on the wrong onesReach up to staff and principal engineers on hard architectural questions rather than working in isolationOwn lineage, access control, PII policy tags and GDPR-compliant handling across your domainsReview code, set standards, and mentor junior members of the chapterDrive knowledge sharing within the chapter and across Delivery HeroТребованияEnd-to-end pipeline ownership: taking a data domain from requirements through production, monitoring and daily maintenance.
Advanced SQL and data modelling: deep BigQuery skills, dimensional and incremental modelling, historisation, partitioning and clustering, and the judgment to know when each applies.dbt and transformation frameworks: model structure, tests, documentation and macros, keeping a large transformation DAG maintainable.
Orchestration and integration patterns: Airflow DAG design, Pub/Sub, API and file-based ingestion (GCS, S3, CloudSQL replicas), idempotency, deduplication,



backfills and late-arriving data.
Software engineering practice: strong Python and SQL with modularisation, testing, CI/CD, version control and monitoring.
Data governance and privacy: lineage, access control, PII policy tags and GDPR-compliant handling in a multi-entity, multi-market environment.
Stakeholder partnership under ambiguity: turning vague requests from data scientists, analysts and marketing teams into data contracts, escalating when blocked, and pushing back on the wrong request.
AI fluency and agentic workflows: using LLM-driven or tool-using agents to scale data engineering work, with a clear view of where they help and where they do not.
Technical maturity: knowing when to decide and when to reach up to staff and principal engineers, and distinguishing your own contribution from the team’s outcome.Будет плюсом: MarTech domain exposure: attribution, ad platform APIs, server-to-server conversion flows, feeds and audience syncs.
A plus, not a requirementУсловияTop-notch private health insurance to keep you at your peak.
Monthly Glovo credit to satisfy your cravingsCobee discounts on transportation, food, and even kindergarten expenses.
Discounted gym memberships to keep you energized.
Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a yearEnhanced parental leave, and office-based nursery.
Online therapy and wellbeing benefits to ensure your mental well-being.

📌 Data engineer in MarTech (Barcelona)
🏢 Delivery Hero
📍 Barcelona

Postulate a este anuncio

Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: data engineer in martech (barcelona) / barcelona

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: data engineer in martech (barcelona) / barcelona