Data Engineering Lead Amsterdam • MR MARVIS

Vacature in het kort

Volledige vacaturetekst

About the job

At MR MARVIS, we believe better decisions start with better data. As our Data Engineering Lead, you’ll shape and scale the backbone of our modern data stack powering everything from product sizing and marketing attribution to supply chain planning, helping MR MARVIS grow faster, smarter, and more sustainably. 

You’ll lead and grow a small team of data and analytics engineers, working cross-functionally to drive best-in-class data quality, observability, and modeling practices. 

If you’re passionate about building reliable systems and mentoring high-performing teams, this is your moment to do it for one of Europe’s fastest-growing brands. 

About MR MARVIS 

MR MARVIS is an Amsterdam-based men's clothing brand launched in 2016, dedicated to creating the perfect shorts, trousers and tops. We are the largest Dutch clothing brand with a B Corp Certification; a label which is only awarded to companies that demonstrably make a positive impact and contribute to a better world. You’ve probably spotted us in vibrant cities such as Amsterdam, Antwerp, Munich and Brussels and we have a strong online presence across Europe.

A diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. So no matter where you’re from, who you love, or what you believe in, we welcome you to be your true self at MR MARVIS. To make our employees feel marvellous, we offer pension schemes and disability insurance and give them the opportunity to invest in personal growth and development.

What you'll do

Platform Ownership 

• Own the design, scalability, and reliability of our modern cloud data platform (BigQuery, dbt, Python, Dagster) 

• Contribute to platform scalability and reliability goals by identifying quality, latency, and lineage gaps 

• Contribute hands-on to code development, ensuring high quality and reusability 

• Lead the ingestion of new data sources and integration with external partner systems, ensuring reliability, scalability, and governance compliance 

• Design and maintain modular, well-documented, and version-controlled data pipelines optimized for reuse across teams 

• Develop and maintain our semantic layer to support consistent, self-serve analytics 

• Implement data observability and alerting tools to ensure freshness, accuracy, and reliability 

• Drive high standards in data modeling, data quality, and platform performance 

  Team Leadership 

  • Mentor a small team of data and analytics engineers, supporting growth and learning 

  • Guide the team in planning, prioritization, and trade-offs, balancing short-term delivery with long-term technical vision 

  • Foster a strong engineering culture with a focus on documentation, testing, and reliability 

    Cross-Functional Collaboration 

    • Own stakeholder alignment and expectation-setting during delivery planning 

    • Translate business and analytics requirements into scalable and resilient technical solutions by working closely with stakeholders in product, marketing, operations, and finance to align data solutions with real-world needs 

    • Champion clear data ownership 

      What you'll bring

      • 6+ years in data engineering roles 

      • Advanced proficiency in English, SQL and Python 

      • Proven end-to-end ownership of data engineering projects, from stakeholder engagement to delivering clean, reliable data for reporting and operational use 

      • Knowledge of cloud computing, containerization, and modern DevOps practices 

      • Experience with (self-managed) ELT/ETL pipelines, cloud data warehouses (BigQuery/Snowflake/AWS), and modern orchestration (e.g. Airflow/Prefect/Dagster) 

      • Deep knowledge of scalable data modeling practices, with a strong preference for long-term sustainability over short-term fixes, and seek scalable, systemic solutions. 

      • Hands-on experience implementing observability frameworks, including monitoring, alerting, and root-cause analysis for data quality issues 

      • Strong product and business mindset, with the ability to translate complex requirements into robust, cost-effective data solutions 

      • Excellent communicator, with a structured, documentation-first approach and the ability to explain technical topics to non-technical stakeholders 

      • Bonus: Understanding of governance and compliance frameworks (e.g. GDPR) 

      • Bonus: Experience in retail, e-commerce, or supply chain analytics. 

        What you'll get

        Like every great employer we offer you a competitive salary and the following benefits;

        • 25 vacation days;

        • A pension scheme, because later is also important;

        • Mobility allowance in case you live outside of Amsterdam;

        • All equipment needed to set you up for success;

        • Daily free & fresh lunch served at the office;

        • 20% discount on the entire MR MARVIS collection;

        • Monthly "Wellbeing budget for Swapfiets, Treatwell, or several gyms. Want to invest your budget? You can, via Peaks!

        • Free unlimited access to OpenUp (coaching/psychologists platform) as well as Meditation Moments (meditation App);

        • Personal development opportunities to help you grow and excel in your role;

        • Hybrid working with an inspiring office in the heart of Amsterdam.

        • Working in a fun, international team at a fast growing scale-up;

        • Amazing team events and weekly Friday drinks with your colleagues.

          MR MARVIS is an equal opportunity employer. We are committed to nurturing an inclusive environment for all current and potential employees. A diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. So no matter where you’re from, who you love, or what you believe in, we welcome you to be your true self at MR MARVIS. 

          Apply for the job

          Do you want to join our team as our new Data Engineering Lead? Then we'd love to hear from you!