Senior Analytics Engineer in City of London
Senior Analytics Engineer

Senior Analytics Engineer in City of London

City of London Full-Time 48000 - 72000 £ / year (est.) No home office possible
Go Premium
P

At a Glance

  • Tasks: Lead the design and evolution of data models, optimising pipelines for impactful insights.
  • Company: Join Preply, a dynamic Ed-Tech company transforming learning experiences worldwide.
  • Benefits: Enjoy competitive pay, equity, health insurance, and a generous learning allowance.
  • Why this job: Shape the future of data analytics while making a real difference in education.
  • Qualifications: 5+ years in analytics engineering, expert in SQL and Python, strong communication skills.
  • Other info: Collaborative culture with opportunities for growth and innovation.

The predicted salary is between 48000 - 72000 £ per year.

We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Meet the team! We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimize experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimize our analytics stack to empower decision-making across the company.

Why You'll Love This Role:

  • Cutting-edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices.
  • End-to-End impact: own and evolve the entire data pipeline, from ingestion to transformation and modeling, ensuring accuracy, scalability, and performance.
  • Cross-team collaboration: partner with data scientists, analysts, and engineers to create high-quality, actionable datasets for business insights.
  • Continuous learning & growth: be part of a data-driven culture where innovation, best practices, and ownership drive success.

What you will be doing:

  • Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability.
  • Develop and optimize sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi-terabyte data ecosystem.
  • Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self-service analytics.
  • Provide technical leadership in collaboration with data science teams to optimize analytical workflows, reduce redundancy, and enforce robust data governance.
  • Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring.
  • Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision-making.
  • Strategically influence and drive company-wide data strategies supporting rapid product growth, sophisticated experimentation, and large-scale personalization initiatives.

What you need to succeed:

  • 5+ years of hands-on experience in analytics engineering, data engineering, or related fields.
  • Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimizing data models.
  • Deep understanding of advanced data governance frameworks, modeling best practices, and implementation of scalable self-service analytics platforms.
  • Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics.
  • Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact.
  • Strategic mindset, high creativity, and an initiative-driven approach to developing and evaluating cutting-edge solutions.
  • Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders.

Nice to have:

  • Experience leading and scaling data infrastructure within rapidly growing startups.
  • Advanced hands-on expertise with DBT, Looker, or Airflow.
  • Proven experience in defining and standardizing event taxonomies and KPIs within medium-to-large organizations.
  • Strong experience in AWS or Google Cloud data ecosystems.

Why you'll love it at Preply:

  • An open, collaborative, dynamic and diverse culture;
  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
  • A competitive financial package with equity, leave allowance and health insurance;
  • Access to free mental health support platforms;
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
  • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
  • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
  • Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company. Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. Together, we are The World Class.

Senior Analytics Engineer in City of London employer: Preply

At Preply, we foster a vibrant and inclusive work culture that prioritises collaboration and continuous learning, making it an exceptional place for a Senior Analytics Engineer to thrive. With access to cutting-edge technology and a commitment to employee growth through generous learning budgets and mental health support, our team is empowered to drive meaningful change in the Ed-Tech space. Join us in shaping the future of personalised learning while enjoying a competitive financial package and the opportunity to make a real impact across 175 countries.
P

Contact Detail:

Preply Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Analytics Engineer in City of London

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to analytics engineering. The more you rehearse, the more confident you'll feel when it’s showtime!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Senior Analytics Engineer in City of London

SQL
Python
Data Modelling
ETL/ELT Pipelines
Data Governance
Looker
DBT
Airflow
Data Quality Monitoring
Business Intelligence
Cross-Team Collaboration
Analytical Problem Solving
Communication Skills
Cloud Data Ecosystems (AWS or Google Cloud)
Strategic Mindset

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for data and analytics shine through! We want to see how your passion aligns with our mission of creating life-changing learning experiences.

Tailor Your Experience: Make sure to highlight your relevant experience in analytics engineering and data governance. We love seeing how your skills can directly contribute to our cutting-edge data stack and collaborative culture.

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain complex concepts, as we value effective communication just as much as technical skills.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our hiring process smoothly.

How to prepare for a job interview at Preply

✨Know Your Data Stack

Familiarise yourself with the tools mentioned in the job description, like DBT, Snowflake, and Looker. Be ready to discuss how you've used these technologies in your previous roles and how they can be applied to enhance Preply's data infrastructure.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex problems you've tackled in analytics engineering. Highlight your innovative solutions and how they brought direct business impact. This will demonstrate your strategic mindset and ability to drive results.

✨Communicate Clearly

Practice articulating complex data concepts in simple terms. Since you'll be collaborating with diverse stakeholders, being able to convey your ideas clearly is crucial. Consider doing mock interviews to refine your communication skills.

✨Emphasise Collaboration

Preply values teamwork, so be prepared to discuss your experience working with cross-functional teams. Share specific instances where you partnered with data scientists or engineers to achieve a common goal, showcasing your ability to work well with others.

Senior Analytics Engineer in City of London
Preply
Location: City of London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

P
  • Senior Analytics Engineer in City of London

    City of London
    Full-Time
    48000 - 72000 £ / year (est.)
  • P

    Preply

    100-200
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>