Senior Data Engineer (Governance & Compliance)

Trustpilot
Edinburgh
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Overview

Trustpilot, a profitable, high-growth FTSE-250 company, has the big vision to become the universal symbol of trust. We run the world's largest independent consumer review platform. 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!


The Task Awaits:


As a Senior Data Engineer in Data Governance and Compliance, your mission is to implement a concrete governance framework that ensures our data is trustworthy, compliant, and easily accessible. You will be a key contributor at the intersection of technology and policy, bridging the gap between Legal, Engineering, and Data teams. Your skills will directly contribute to our commitment to data responsibility and enhance our data processes for future developments.


Your role as a Senior Data Engineer:



  • 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.

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.

What's in it for you?



  • A range of flexible working options to dedicate time to what matters to you
  • Competitive compensation package + bonus
  • 25 days holiday per year, increasing to 28 days after 2 years of employment
  • Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
  • Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist
  • Pension and life insurance Health cash plan, online GP, 24/7 Employee Assistance PlanFull access to Headspace, a popular mindfulness app to promote positive mental health
  • Paid parental leave
  • Season ticket loan and a cycle-to-work scheme
  • Central office location complete with all the snacks and refreshments you can ask for
  • Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials
  • Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.

Our Commitment to Diversity & Inclusion:


At Trustpilot we want to create a welcoming atmosphere of belonging, for every Trustie, where you don't need to "fit in", you can just be you, your true self. A place where you're treated fairly, your perspective is valued, and you're empowered to do the best work of your life. Trustpilot is committed to this vision. We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. Join us in advancing a more inclusive tech industry!


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!


#LI-JC1


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.


Join us at the heart of trust.


Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.


Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.