Senior Data Engineer (MarTech)

Location: Barcelona, Spain; hybrid setup with the freedom to work from home two days a week

Company

hirify.global is a global local-delivery platform operating across around 65 countries, with Glovo, Talabat, and PedidosYa among its brands.

What you will do

• Own MarTech data domains end-to-end, from requirements, architecture, and pipeline design through production, monitoring, and daily maintenance.
• Build and maintain curated datasets and data contracts used for budget allocation, bidding, campaign activation, measurement, and data science.
• Design reliable ingestion and activation flows using APIs, Pub/Sub, files, GCS, S3, CloudSQL replicas, and ad platforms including Adjust, Google, Smartly, Reddit, Pinterest, LINE, Channable, and Braze.
• Define data-quality tests, freshness SLAs, anomaly checks, idempotency, deduplication, backfills, and late-arriving-data handling.
• Improve pipeline runtime, cost, and backfill behavior; own lineage, access control, PII policy tags, and GDPR-compliant handling.
• Review code, set engineering standards, mentor junior engineers, and collaborate with data scientists, analysts, marketing teams, and staff or principal engineers.

Requirements

• Experience owning production data domains end-to-end, from requirements through deployment, monitoring, and daily operation.
• Advanced SQL and deep BigQuery expertise, including dimensional and incremental modelling, historisation, partitioning, and clustering.
• Strong dbt and transformation-framework experience with model structure, tests, documentation, macros, and maintainable transformation DAGs.
• Experience designing Airflow DAGs and handling Pub/Sub, API, and file-based ingestion, including GCS, S3, CloudSQL replicas, idempotency, deduplication, backfills, and late-arriving data.
• Strong Python and SQL software-engineering practices, including modularisation, testing, CI/CD, version control, and monitoring.
• Experience with data lineage, access control, PII policy tags, and GDPR-compliant data handling in multi-entity, multi-market environments.
• Ability to turn ambiguous requests from data scientists, analysts, and marketing teams into data contracts, escalate blockers, and challenge unsuitable requests.
• AI fluency and experience with LLM-driven or tool-using agents in data-engineering workflows, including judgment about where they help and where they do not.
• Technical maturity to make decisions independently, involve staff and principal engineers on complex architecture questions, and distinguish individual contribution from team outcomes.

Nice to have

• MarTech experience with attribution, ad-platform APIs, server-to-server conversion flows, feeds, and audience synchronisation.

Culture & Benefits

• Hybrid work with two work-from-home days per week and the opportunity to work from anywhere for up to three weeks per year.
• Private health insurance, enhanced parental leave, and an office-based nursery.
• Extra time off, online therapy, and wellbeing benefits.
• Monthly Glovo credit, Cobee discounts, and discounted gym memberships.
• Inclusive environment with equal-opportunity principles, diverse teams, and leadership principles focused on both results and behaviors.