Senior Data Engineer (Governance & Compliance) at Trustpilot
København, , Denmark -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Java, Stakeholder Management, Sql, Kafka, Airflow, Python, Data Governance

Industry

Information Technology/IT

Description

At Trustpilot, we’re on an incredible journey. We’re a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world’s largest independent consumer review platform, and while we’ve come a long way, there’s still so much exciting work to do. Come join us at the heart of trust!

CALLING TRAILBLAZING SENIOR DATA ENGINEERS!

Do you have a keen interest in problem-solving and experience with keeping data landscapes optimised? Trustpilot is seeking a highly skilled Senior Data Engineer to join our team!

IDEAL QUALIFICATIONS:

  • Demonstrated ability to design and implement technical projects from inception to deployment, including architecture design and scaling.
  • Deep focus on software engineering with a concentration on data-centric systems.
  • Experience in a data governance or data compliance-focused role.
  • In-depth knowledge in public cloud (AWS, GCP).
  • Extensive proficiency in SQL and experience with at least one programming language such as Python, Java, etc.
  • Comprehensive understanding of data engineering tooling, including but not limited to BigQuery, Kafka, Airflow, Airbyte, and DataHub.
  • Great stakeholder management, communication, and teamwork skills.

STILL NOT SURE?

We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We’re keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don’t worry if you’re looking at this job description and feel like you don’t meet all the requirements, we’d still really like to hear from you!

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ABOUT US

Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.
Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.
We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.
Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

Responsibilities
  • Help to design and implement our data governance strategy, translating high-level concepts into technical solutions.
  • Drive data ownership and accountability across engineering teams.
  • Design and implement scalable pipelines and tooling to automate data governance policies (e.g., PII tagging, data classification, and lineage).
  • Provide clear guidance and implement the “paved paths” for data quality and compliance, enabling teams to be empowered.
  • Support the identification and approach to optimising existing data for improved quality and compliance.
  • Stay current on industry trends, emerging technologies, and best practices to continuously improve our data processes and position.
  • Coach and mentor less senior engineers on best practices.
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