Analytics Engineer II (Mid-level)
Analytics Engineer II (Mid-level)

Analytics Engineer II (Mid-level)

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join Trustpilot as an Analytics Engineer, bridging business and tech teams to enhance data-driven decisions.
  • Company: Trustpilot is a global leader in consumer reviews, fostering trust between businesses and consumers.
  • Benefits: Enjoy flexible working, competitive pay, 25+ days holiday, and wellness perks like Headspace access.
  • Why this job: Shape innovative analytics solutions in a vibrant, collaborative culture that values diverse perspectives.
  • Qualifications: Experience with cloud data warehouses, SQL proficiency, and a passion for data-driven impact are essential.

The predicted salary is between 36000 - 60000 £ 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 will be a crucial bridge between our business and technical teams, directly influencing Analytics, Data Science, Data Engineering, and Product. You will 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 table tennis, a gaming corner, coffee bars and 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.
  • Independent financial advice and free standard professional mortgage broker advice.
  • Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career.

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.

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.

Analytics Engineer II (Mid-level) employer: Trustpilot

At Trustpilot, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. With flexible working options, competitive compensation, and rich learning opportunities through the Trustpilot Academy, we empower our employees to grow and thrive in their careers. Our central London office is not just a workplace; it's a community where you can connect with diverse colleagues, enjoy modern amenities, and participate in meaningful initiatives that make a difference.
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Contact Detail:

Trustpilot Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer II (Mid-level)

✨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 showcasing these tools can significantly boost your chances of standing out.

✨Tip Number 2

Network with current employees or alumni who work at Trustpilot. Engaging with them on platforms like LinkedIn can provide you with insider insights about the company culture and expectations, which can be invaluable during interviews.

✨Tip Number 3

Prepare to discuss your experience with data observability and quality monitoring solutions. Be ready to share specific examples of how you've implemented these practices in previous roles, as this aligns closely with the responsibilities of the position.

✨Tip Number 4

Showcase your communication skills by preparing to explain complex technical concepts in simple terms. This is crucial for the role, as you'll need to collaborate with both technical and non-technical teams effectively.

We think you need these skills to ace Analytics Engineer II (Mid-level)

SQL Proficiency
Data Pipeline Development
Cloud Data Warehousing (GCP)
Data Modelling
ETL and Reverse ETL Processes
Business Intelligence Tools (Looker)
Data Quality Monitoring
Data Observability
Data Integration
Collaboration Skills
Technical Documentation
Problem-Solving Skills
Understanding of AI/ML Concepts
Experience with CDP and Event Tracking Platforms
Proactive Communication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, cloud data warehouses, and analytics. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives business decisions. Mention specific tools and technologies you’ve worked with that align with Trustpilot's modern data stack.

Showcase Your Projects: Include examples of past projects where you've designed data pipelines or worked with data visualisation tools like Looker. Highlight any experience with reverse ETL processes or data observability.

Highlight Soft Skills: Trustpilot values collaboration across teams. Emphasise your communication skills and ability to work in cross-functional environments, as well as your proactive approach to problem-solving.

How to prepare for a job interview at Trustpilot

✨Showcase Your Data Skills

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 across 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 discuss how you ensure high-quality data and how you approach test-driven development in your work.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've optimised data processes or collaborated on cross-functional projects, and be ready to share these experiences.

Analytics Engineer II (Mid-level)
Trustpilot
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