Data Engineer (Remote)

Job description

Stuart (DPD Group) is a sustainable last-mile logistics company that connects retailers and e-merchants to a fleet of geolocalised couriers across several countries in Europe.

Our Mission
We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today’s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience.

Our motto: “Make every delivery a moment all of us can truly celebrate!” More than 3000+ leading brands already partner with us across Restaurants, Grocery, Retail & Luxury, eCommerce and Professional Services to deliver all types of goods at the tap of a button. Stuart is a highly diverse and inclusive company of 600+ talents from 90+ countries working in Paris , London , Barcelona, Madrid , Poland , Portugal and remotely around the world

It’s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision

We are looking for a Data Engineer to take part in the scaling of our data platform and support the team’s and company’s growth.

Our stack currently relies mostly on the Python language and It includes technologies like Apache Airflow, Docker, Apache Kafka, Tensorflow, etc. and we extensively use AWS products like S3, Redshift, and Athena.

What will I be doing?

    • Designing, implementing and maintaining a solid Data Lake and Data Warehouse that collects, stores, and processes data, focusing on scalability and reliability.
    • Working closely with the Business Intelligence and Data Science teams to help them design and build machine-learning algorithms and tooling to explore and visualize data.
    • Growing with us and sharing:

What do we need from you?

    • Fluency in English
    • 3+ years experience working with Python
    • 3+ years of experience design and implementing data platforms
    • Experience with Apache Kafka or other streaming platforms
    • Experience with query engines like AWS Athena, Hive, SparkSQL or similar technologies

    • Want to put a smile on our face?
    • Experience in designing data lakes in Amazon S3
    • Experience with Apache Airflow
    • Experience with Java/Scala
    • Experience with Hadoop, Apache Spark, Flink or similar technologies
    • Experience with data quality processes

The stuff you wanna know

    • Family-friendly work-life balance - hybrid work home and flexible hours
    • A full-remote position or a ‍ spot at Unicorn Workspaces next to Parque Eduardo VII
    • Ticket Restaurant by Edenred (€7 daily)
    • Private healthcare provided by Medicare ‍ ️
    • Kindergarten vouchers ‍‍
    • Unlimited access to Udemy for all your learning and development needs
    • Stuart Academy with regular workshops, Stu-Classes, and Stu-Talks
    • Stuart is putting Mental Health Awareness first! Wellness Allowance (40 euros monthly) to use in any gym or sport class
    • Work in an international, dynamic and passionate environment with a company culture focused on learning and development
    • Personal Engineering Learning Budget of €1,000 per year ‍

At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact

Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status

Want to learn more about us? Visit

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