At a Glance
- Tasks: Join Trustpilot as a Senior Analytics Engineer, shaping data solutions and enhancing our data warehouse.
- Company: Trustpilot connects consumers and businesses through reviews, promoting trust and transparency globally.
- Benefits: Enjoy flexible working, competitive pay, 25+ days holiday, and wellness perks like Headspace access.
- Why this job: Be part of a vibrant culture that values collaboration and innovation in a diverse environment.
- Qualifications: Experience with cloud data warehouses, SQL, and a passion for data-driven decision-making is essential.
- Other info: Opportunities for volunteering, learning, and connecting with colleagues at exciting events.
The predicted salary is between 42000 - 84000 ÂŁ per year.
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way—but there’s still an exciting journey ahead. Join us at the heart of trust. As an Analytics Engineer at Trustpilot, you’ll be a crucial bridge between our business and technical teams, directly influencing Analytics, Data Science, Data Engineering, and Product. You’ll leverage our cutting-edge modern data stack to expand and enhance our data warehouse, empowering data-driven decisions across the organisation. This role offers the exciting opportunity to shape our data landscape and contribute to innovative analytics solutions.
What you’ll be doing:
- Maintain and evolve our data warehouse and business intelligence tool, providing reliable data access to users throughout Trustpilot.
- Design, build, maintain, and rigorously monitor robust data pipelines and transformative models using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms.
- Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational efficiency.
- Maintain and optimise our Customer Data Platform (CDP), ensuring effective data collection, unification, and routing.
- Administer and support our business intelligence tool, Looker, enabling users to provide insightful and user-friendly data visualisations.
- Identify opportunities to optimise our data warehouse and development methodologies, with the goal of reduced complexity, improved performance, and cost efficiency.
- Collaborate with Analysts and Data Scientists to prepare and model data for predictive analytics and AI/ML initiatives.
- Implement and maintain data observability and quality monitoring solutions, including custom alerting, to ensure the reliability and integrity of our data assets.
- Work closely with Engineering teams to understand their data needs, collaborate on data integration projects (e.g., web tracking via tracking plans), and build collaborative working relationships.
Who you are:
- You advocate a “data as a product” mindset, with a focus on documentation, rigorous reviews, and data accuracy.
- You are highly experienced in cloud data warehouses, modern data stacks, and best practices in data engineering.
- Your proficiency in SQL includes a wealth of experience in data manipulation, querying, and optimisation.
- You are curious, proactive, and interested in the impact of data and technology in business.
- You advocate for test-driven development and understand the critical role of high-quality data.
- Your communication and stakeholder management skills are highly skilled, allowing you to collaborate effectively across technical and non-technical teams.
- You can explain complex technical concepts clearly and succinctly.
- You thrive in cross-functional environments, working closely with Engineering, Data Science, and business teams.
- Experience with CDP and event tracking platforms like Segment or Hightouch, particularly in event tracking governance.
- Familiarity with observability tools, data quality monitoring, and data DevOps practices.
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 Plan.
- Full 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.
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.
Senior Analytics Engineer Edinburgh employer: Liviu Mesesan
Contact Detail:
Liviu Mesesan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer Edinburgh
✨Tip Number 1
Familiarise yourself with the modern data stack mentioned in the job description, particularly GCP, Airflow, and dbt. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out during discussions.
✨Tip Number 2
Network with current or former employees of Trustpilot on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your interview.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented data observability and quality monitoring solutions in past roles. This will demonstrate your practical knowledge and commitment to maintaining high-quality data, which is crucial for the role.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex technical concepts in simple terms. This is essential for collaborating with non-technical teams, and being able to articulate your thoughts clearly will impress the interviewers.
We think you need these skills to ace Senior Analytics Engineer Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics engineering, particularly with cloud data warehouses and modern data stacks. Use specific examples that demonstrate your skills in SQL, data manipulation, and collaboration with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and technology. Mention how your experience aligns with Trustpilot's mission and the specific responsibilities of the role. Be sure to showcase your understanding of their data landscape and how you can contribute to innovative analytics solutions.
Showcase Relevant Projects: If applicable, include a portfolio or a section in your CV that showcases projects you've worked on that are relevant to the role. Highlight any experience with tools like GCP, Airflow, dbt, and Looker, as well as any successful implementations of data pipelines or ETL processes.
Highlight Soft Skills: Trustpilot values communication and stakeholder management skills. Make sure to mention instances where you've effectively collaborated with both technical and non-technical teams. This will demonstrate your ability to bridge the gap between business and technical needs.
How to prepare for a job interview at Liviu Mesesan
✨Showcase Your Data Expertise
Be prepared to discuss your experience with cloud data warehouses and modern data stacks. Highlight specific projects where you've designed, built, or maintained data pipelines, especially using tools like GCP, Airflow, and dbt.
✨Communicate Clearly
Since the role involves collaboration with both technical and non-technical teams, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to bridge the gap between different stakeholders.
✨Demonstrate a 'Data as a Product' Mindset
Emphasise your commitment to data accuracy and documentation. Be ready to share examples of how you've implemented rigorous reviews and quality checks in your previous roles.
✨Prepare for Technical Questions
Expect questions on SQL and data manipulation techniques. Brush up on your skills and be ready to solve problems on the spot, showcasing your analytical thinking and problem-solving abilities.