Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 45000 - 55000 € / year (est.) Home office (partial)
Future

At a Glance

  • Tasks: Design and deploy data transformation pipelines, leading the evolution of business logic.
  • Company: Join Future, a global data-first platform with trusted brands like Tom's Guide and Marie Claire.
  • Benefits: Competitive salary, hybrid work, uncapped leave, profit-sharing bonuses, and well-being support.
  • Other info: Enjoy excellent career growth opportunities in a dynamic, supportive environment.
  • Why this job: Make a real impact by architecting data products that power advanced analytics and machine learning.
  • Qualifications: Experience in Analytics Engineering, expert SQL skills, and familiarity with Dataform or dbt.

The predicted salary is between 45000 - 55000 € per year.

Future is a global, data-first platform powered by technology and enabled by our trusted specialist brands, such as Tom's Guide, Marie Claire, PC Gamer, and CinemaBlend. As a Senior Analytics Engineer, you occupy a strategic technical position at the heart of our data ecosystem, reporting into the Head of Data Analytics Engineering. You will architect the transition from raw data infrastructure into Data Products. These products are well‑modelled, documented, and governed. They serve as the organisation's single source of truth, powering Looker dashboards, advanced machine‑learning models in Vertex AI, and our latest conversational analytics platform.

Key Responsibilities

  • Architecting High-Performance Models: Design and deploy sophisticated data transformation pipelines using Dataform. Lead the transition of raw data into curated, production‑grade data products optimised for organisational scale and speed.
  • Modernising Business Logic: Lead the evolution of established business logic into modern, scalable SQL architectures. Codify institutional knowledge into robust, modular code that supports Future’s long‑term growth.
  • Strategic Technical Partnership: Act as a consultative partner to BI, Data Engineering, and Data Science teams. Translate high‑level strategic requirements into structured data schemas, ensuring technical alignment and stakeholder consensus before development begins.
  • Advancing Engineering Standards: Champion and apply software engineering best practices to the analytics layer. Manage version control via GitLab, lead peer reviews, and enhance our CI/CD workflows.
  • End-to-End Delivery Leadership: Own the full lifecycle of data product delivery. Operate with high autonomy, using Jira to orchestrate complex projects from discovery through to production, ensuring impact and transparency.
  • Championing Data Trust: Set the standard for data excellence. Implement automated testing frameworks and observability alerting to ensure our data products remain reliable and trusted by downstream users.

Experience That Will Put You Ahead Of The Curve

  • Previous experience within Analytics Engineering or a technical Data role, with a history of delivering end‑to‑end modelling projects in production environments.
  • Experience in Digital Media is advantageous.
  • Expert proficiency in SQL (BigQuery preferred), with a focus on performance optimisation and scalable logic.
  • Hands‑on experience with Dataform or dbt.
  • Understanding of building data products specifically optimised for BI platforms like Looker and ML platforms like Vertex AI.
  • A commitment to version control (GitLab), automated testing, and writing clean, documented code.
  • Experience creating detailed technical documentation of complex technical architectures for diverse audiences and managing project dependencies.

What's in it for you

  • The expected range for this role is £45,000-£55,000.
  • This is a Hybrid role from our Bath Office, working three days from the office, two from home.
  • Uncapped leave, because we trust you to manage your workload and time.
  • When we hit our targets, enjoy a share of our profits with a bonus.
  • Refer a friend and get rewarded when they join Future.
  • Well‑being support with access to our Colleague Assistant Programmes.
  • Opportunity to purchase shares in Future, with our Share Incentive Plan.

Senior Analytics Engineer employer: Future

Future is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Senior Analytics Engineer role based in Bath. With a strong emphasis on employee autonomy, uncapped leave, and profit-sharing bonuses, we empower our team to thrive both personally and professionally. Our commitment to well-being support and opportunities for growth, including share ownership, makes Future a truly rewarding place to build your career in data analytics.

Future

Contact Detail:

Future Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Engineer

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in analytics. Building relationships can open doors that a CV just can't.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data products or projects you've worked on. This gives potential employers a tangible sense of what you can bring to the table.

Ace the Interview

Prepare for interviews by practising common questions and scenarios related to analytics engineering. Be ready to discuss your past projects in detail and how you tackled challenges. Confidence is key!

Apply Through Our Website

When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Senior Analytics Engineer

Data Transformation Pipelines
Dataform
SQL
BigQuery
Performance Optimisation
Data Product Development
BI Platforms (Looker)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with SQL, Dataform, and any relevant projects you've led. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific experiences that relate to our key responsibilities.

Showcase Your Projects:If you've worked on any impressive data products or transformation pipelines, don’t hold back! Include links or descriptions of these projects in your application. We love seeing real-world examples of your work.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Future

Know Your Data Inside Out

As a Senior Analytics Engineer, you’ll be expected to have a deep understanding of data transformation and modelling. Brush up on your SQL skills, especially with BigQuery, and be ready to discuss how you've optimised performance in past projects. Prepare examples that showcase your experience with Dataform or dbt.

Showcase Your Project Management Skills

This role involves managing complex projects from start to finish. Familiarise yourself with Jira and be prepared to talk about how you've orchestrated similar projects in the past. Highlight your ability to lead teams and ensure transparency throughout the project lifecycle.

Demonstrate Your Technical Partnership Approach

You’ll need to act as a consultative partner to various teams. Think of examples where you’ve translated high-level requirements into structured data schemas. Be ready to discuss how you’ve ensured alignment and consensus among stakeholders before development.

Emphasise Your Commitment to Best Practices

The interviewers will want to know how you champion software engineering best practices. Talk about your experience with version control using GitLab, automated testing frameworks, and how you maintain clean, documented code. This shows you’re serious about data excellence and reliability.