As a Senior Data Engineer, you’ll combine your advanced technical expertise with leadership skills to design, develop, and manage ETL solutions within a dynamic and scalable data warehouse environment. You’ll play a role in driving the success of our data organisation, ensuring technical excellence, and contributing to impactful data integration solutions. Every day, your work will directly support millions of euros raised for charitable causes, creating a meaningful global impact.
Misaël van der Meer , Group Tech: “In my role I’m driven by a passion for data and technology. I strongly believe in the power of advanced data-driven marketing ideas, and I’m excited to facilitate them on a modern stack. Through our work we support millions of euros of charitable giving worldwide. We’re making a difference today and creating an impact that really matters!’’

ABOUT US:

The Postcode Lottery Group is a marketing-driven international non-profit organisation. We operate lotteries to raise funds for a fairer, greener and healthier world. Our players win with their neighbours and generate money for charities together – it’s a win-win!
We’ve raised more than €13.5 billion for thousands of good causes since 1989. We’re the third-largest private charitable donor in the world. Working alongside 1,438 fellow team members in Great Britain, the Netherlands, Sweden, Germany and Norway, you’ll be helping to build a better world every day!

• Architect and Build: Design and develop efficient ETL pipelines and workflows, ensuring the seamless ingestion and transformation of data from multiple sources into the data warehouse.
• Optimize and Scale: Drive continuous improvement by identifying bottlenecks, optimizing performance, and implementing scalable solutions to meet future demands.
• Technical Leadership: Provide guidance and mentorship to team members, fostering a culture of excellence and collaboration while setting best practices for development.
• Innovate: Research and implement emerging technologies to enhance the data ecosystem and solve complex challenges.
• Collaborate Across Teams: Partner with stakeholders, including data scientists, analysts, and product managers, to understand business needs and deliver impactful data-driven solutions.
• Ensure Quality and Governance: Uphold high standards for data quality, governance, and security, ensuring compliance with organizational and regulatory requirements.
• Contribute Strategically: Participate in defining the technical roadmap and aligning the data engineering strategy with broader organizational goals.