Senior Data Engineer

Postcode Loterij; Amsterdam; Hybrid; EUR 64,000 - 83,000; Full time

Job summary

Postcode Loterij is seeking a Senior Data Engineer to design, develop, and manage ETL solutions within a scalable data warehouse. You will lead a team, mentor colleagues, and collaborate with data scientists, analysts, and product managers to deliver impactful data-driven solutions.

The role emphasizes data governance, GDPR compliance, and security, while contributing to a modern data stack and regulatory-compliant architecture. A strong leadership mindset is required.

Qualifications

• University degree in computer science, engineering, or related field (6+ years in data engineering)
• Strong ETL, advanced SQL, and cloud platform experience (AWS, Snowflake)
• Solid data warehouse concepts, architectures and large-scale data systems
• Experience with CI/CD pipelines (GitLab) and infrastructure as code
• Proactive problem-solver with analytical skills; identify optimization opportunities
• Leads and mentors teams; drives technical decisions with stakeholders
• Experience with data governance, GDPR compliance, and security frameworks

Responsibilities

• Design and develop efficient ETL pipelines and workflows into the data warehouse
• Drive continuous improvement by identifying bottlenecks and optimizing performance
• Provide guidance and mentorship to team members and set development best practices
• Research and implement emerging technologies to enhance the data ecosystem
• Partner with data scientists, analysts, and product managers to deliver data-driven solutions
• Uphold high standards for data quality, governance, and security with regulatory compliance
• Define the technical roadmap and align data engineering strategy with organizational goals

Skills

ETL pipelines

Advanced SQL

AWS

Snowflake

Data warehouse design

CI/CD (GitLab)

Infrastructure as Code

Leadership

GDPR compliance

Data governance

Education

University degree in computer science/engineering

Tools

GitLab

Snowflake platform

Job description

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!’’

What you’ll do:

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

You’d describe yourself as follows:

• You hold a university degree in computer science, engineering, or a related field, with at least 6+ years of experience in data engineering or a related role.
• Have expertise in ETL processes, advanced SQL, and managing complex data structures, along with experience with cloud platforms (AWS and Snowflake).
• You have a strong understanding of data warehouse concepts, architectures, and the design of large-scale data systems.
• Are experienced with CI/CD pipelines (e.g., GitLab), and infrastructure as code, and have successfully implemented data workflows at scale.
• You’re a proactive problem-solver with analytical skills, capable of identifying and executing optimization opportunities.
• You excel at leading and mentoring teams, and are comfortable driving technical decisions in collaboration with stakeholders.
• Experience with data governance, GDPR compliance, and security frameworks.
• A monthly salary indication between €5.700,- and €7.400,- based on a 40-hour week and flexible working hours.

We believe an inclusive organisation is the ideal breeding ground for creativity, collaboration and innovation. Employee solidarity is important to us, too. Each of us has a part to play in that – we are the organisation, after all. We strive to make everyone feel at home. That means keeping an open mind and paying attention to each other’s welfare.