Senior Data Engineer – MarTech

Delivery Hero; Vilanova y Geltrú; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Private health insurance

Monthly Glovo credit

Cobee discounts

Discounted gym memberships

Remote work 2 days/week

Extra time off

Job summary

Glovo, part of the Delivery Hero Group, is seeking a Senior Data Engineer to own MarTech analytics platforms end-to-end, including ingestion pipelines, data quality, and contracts that stakeholders rely on for budget or bidding decisions.

You will work across BigQuery, dbt, Airflow, Pub/Sub and Spark at scale, shaping the data foundation used by performance marketing across Glovo and the Delivery Hero group.

Qualifications

• End-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.
• MarTech domain exposure: attribution, ad platform APIs, server-to-server conversion flows, feeds and audience syncs. A plus, not a requirement.

Responsibilities

• 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.
• 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.
• 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.

Skills

Advanced SQL

Data modelling

Dimensional modelling

Incremental modelling

Historisation

Partitioning

Clustering

Python

Monitoring

Tools

Airflow

BigQuery

dbt

Pub/Sub

Spark

GCS

S3

CloudSQL

Job description

Glovo 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.

Job Description

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 global 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 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

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

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

Qualifications

We are looking for an engineer who has owned data domains in production rather than contributed to parts of them. Concretely:

End-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.

MarTech domain exposure: attribution, ad platform APIs, server-to-server conversion flows, feeds and audience syncs. A plus, not a requirement.

Additional Information

Individuals representing diverse profiles, encompassing various genders , ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

Top-notch private health insurance to keep you at your peak.

Monthly Glovo credit to satisfy your cravings!

Cobee 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 year!

Enhanced parental leave, and office-based nursery.

Online therapy and wellbeing benefits to ensure your mental well-being.

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences.Learn more about our Leadership Principles here .

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website !

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here .

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website !