Data Engineer

Ready for a challenge?

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.

About this role

*Please note that this role is located either in London (UK), Amsterdam (NL) or Enschede (NL), based on your location. Our hybrid policy is 3 days a week at the office and 2 days working from home.

As a Data Engineer, you will play a key role in designing, building, and maintaining our data infrastructure to support partner data sharing. You’ll collaborate closely with Sales, Product, Analysts, and other Engineering teams to ensure the seamless flow and accessibility of high-quality data across the organisation. This is an exciting opportunity to contribute to a data-driven culture within a company that serves millions of customers worldwide.

These are some of the key ingredients to the role: 

• Design, build, and maintain a self-serve data visualization platform for partners, alongside scalable and reliable data pipelines.
• Develop and optimize data models and schemas to meet diverse analytical and operational requirements.
• Implement robust data quality checks and monitoring systems to ensure data accuracy and integrity.
• Collaborate with Sales, Analysts, and engineering teams to understand data needs, integrate new data sources, and ensure data availability.
• Contribute to the development and enforcement of data governance policies and standards, engaging with Infosec and DPO teams for compliance.
• Troubleshoot and resolve data-related issues promptly while staying current with emerging data engineering trends and technologies.
• Actively participate in code reviews and contribute to the continuous improvement of engineering practices.

What will you bring to the table?

• Demonstrate expert-level proficiency with data visualization tools such as Looker, ThoughtSpot, or Tableau.
• Possess highly proficient SQL skills for querying and manipulating large, complex datasets.
• Exhibit strong experience with data warehousing concepts, ETL/ELT processes, and various database technologies.
• Show knowledge in a relevant data engineering programming language like Python, Bash, or Django.
• Hold practical experience working with major cloud platforms, including GCP, AWS, or Azure.
• Combine excellent problem-solving, analytical skills, and attention to detail with the ability to develop strategies that drive solutions to meet business needs.
• Leverage strong communication and collaboration skills to effectively convey technical concepts to diverse audiences, driven by a proactive and self-motivated passion for data and technology.

Nice, not-mandatory plus would be:

• Good understanding of building and maintaining data pipelines using tools such as Airflow, Docker
• Knowledge of data governance and data quality frameworks.
• Experience working in an Agile development environment.

At JET, this is on the menu: 

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. 

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging 

What else are we delivering?