Data Engineer

Takeaway.com; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Just Eat Takeaway.com in Amsterdam is seeking a Data Engineer to join our Promotion and Optimisation team. You will build and maintain data marts, pipelines, and egress flows ensuring clean, timely inputs for our data science models and campaign systems.

You will collaborate with data scientists, analysts, and CRM partners to translate requirements into scalable solutions, maintaining data integrity across the engine and delivering reliable outputs for campaigns.

Qualifications

• Proven experience as a Data Engineer or in a similar data infrastructure role.
• Strong SQL and Python skills with experience building scalable pipelines.
• Hands-on experience with Google BigQuery, Airflow, Dagster and dbt.
• Experience in building data marts and ensuring data quality and integrity.

Responsibilities

• Data Architecture: design and own structured data marts to consolidate signals.
• Pipeline Development: build and maintain scalable data pipelines to model-ready features.
• Egress & Integration: ensure data flows to downstream systems with governance.
• Campaign Data Infrastructure: support data ingestion and refreshed outputs for campaigns.
• Data Quality & Reliability: implement monitoring and alerting to protect live campaigns.
• Collaborative Builder: work with Data Scientists, Analysts, and CRM teams to meet needs.

Skills

SQL

Python

BigQuery

Airflow

Dagster

dbt

Data pipelines

Schema governance

Collaboration

Tools

BigQuery

Airflow

Dagster

dbt

Job description

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

• Data Engineer

• Available in 2 locations

• Category: Data & Analytics

• Full time

About this role

You will be part of our Promotion and Optimisation team in Amsterdam. Our team plays a critical role in JET's commercial growth, building the data infrastructure that powers our promotions engine — from sourcing and organising data to feeding our models, delivering outputs to campaign execution systems and . You will build and maintain the data marts, pipelines, and egress flows that ensure our data science team has clean, reliable, and timely inputs, and that our engine decisions reach the right systems on time.

These are some of the key components to the position:

• Data Architecture: Design, build, and own structured data marts that consolidate user, campaign, and partner signals to drive excellence.

• Pipeline Development: Build and maintain scalable data pipelines that source, transform, and deliver data across the engine — from raw inputs to model-ready features and from model outputs to CRM and campaign execution systems.

• Egress & Integration: Ensure model decisions flow cleanly from the engine to downstream systems (HighTouch, CRM, Voucher Hub) with proper schema governance, SLAs, and monitoring.

• Campaign Data Infrastructure: Build and maintain the pipelines that support our campaign operations — from data ingestion and processing to delivering refreshed outputs, enabling the team to respond quickly to changing conditions throughout the campaign week.

• Data Quality & Reliability: Implement monitoring, validation, and alerting to ensure pipelines are robust, data is accurate, and issues are caught before they affect live campaigns.

• Collaborative Builder: Work closely with Data Scientists, Analysts, and CRM partners to understand their data needs, define schemas, and ensure the right data is in the right place at the right time.

What will you bring to the team?

• Proven experience as a Data Engineer or in a similar data infrastructure role, with a track record of building reliable pipelines at scale.

• Strong command of SQL and Python, with hands-on experience building and maintaining data pipelines in Google BigQuery.

• Experience with orchestration tools (Airflow, Dagster) and data transformation frameworks (dbt).

• Experience building and maintaining data marts — structuring raw data into clean, reliable, model-ready tables.

• Familiarity with egress patterns, API integrations, and schema governance for delivering data to downstream systems.

• Ability to work across teams — translating data science requirements into engineering solutions and partnering with CRM and product teams.

• Excellent attention to detail, with the ability to manage multiple pipelines and ensure data integrity across the engine.

• Nimble mindset — our business is growing and evolving quickly, you'll need to too!

• Be intellectually curious and investigate where details and data take you.

• A kind, open, and collaborative team-player with a team-first mindset.

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.