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- Tasks: Design and deploy data transformation pipelines, creating high-performance data products.
- Company: Join Future, a global data-first platform with trusted brands like Tom's Guide and Marie Claire.
- Benefits: Enjoy uncapped leave, profit-sharing bonuses, and well-being support.
- Other info: Hybrid role in Bath with excellent career growth opportunities.
- Why this job: Make a real impact by shaping the future of data analytics in a dynamic environment.
- 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.
Responsibilities
- Architecting High‑Performance Models: design and deploy sophisticated data transformation pipelines using Dataform, leading 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, codifying institutional knowledge into robust, modular code.
- Strategic Technical Partnership: act as a consultative partner to BI, Data Engineering and Data Science teams, translating high‑level strategic requirements into structured data schemas and ensuring technical alignment before development.
- Advancing Engineering Standards: champion and apply software engineering best practices to the analytics layer, managing version control via GitLab, leading peer reviews and enhancing CI/CD workflows.
- End‑to‑End Delivery Leadership: own the full lifecycle of data product delivery, operating with high autonomy, orchestrating complex projects from discovery to production using Jira and ensuring impact and transparency.
- Championing Data Trust: set standards for data excellence, implementing automated testing frameworks and observability alerting to keep data products reliable and trusted by downstream users.
Qualifications
- 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, building data products optimised for BI platforms like Looker and ML platforms such as 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.
Compensation
The expected salary range for this role is £45,000 to £55,000. This is a hybrid role based in our Bath office, working three days from the office and two days from home.
Benefits
- Uncapped leave – trust to manage your workload and time.
- Profit‑sharing bonus when targets are met.
- Referral programme rewards.
- Well‑being support with access to our Colleague Assistant Programmes.
- Opportunity to purchase shares in Future via our Share Incentive Plan.
Equal Opportunity and Accessibility
Please let us know if you need any reasonable adjustments made so we can give you the best experience!
Analytics Engineer employer: Future plc
Contact Detail:
Future plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data transformation techniques. Be ready to discuss your past projects and how you tackled challenges – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with SQL, Dataform, and any relevant projects that showcase your skills in data transformation and modelling.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how your previous experiences align with our mission. Be specific about how you can contribute to our data ecosystem and the impact you hope to make.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include examples of how you've used SQL, GitLab, or automated testing in past projects. This helps us see your hands-on experience and problem-solving abilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Future plc
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data transformation and analytics. Be ready to discuss specific challenges you faced and how you overcame them, especially in relation to SQL performance optimisation and building data products.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in tools like Dataform or dbt. Bring examples of your work that highlight your ability to architect high-performance models and modernise business logic. If possible, have a portfolio or code snippets ready to share.
✨Understand the Company’s Data Ecosystem
Research Future's brands and their data needs. Familiarise yourself with how they use data products to drive decisions. This will help you tailor your responses and show that you’re not just a fit for the role, but also for the company culture.
✨Be Ready for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle complex projects from discovery to production, and be prepared to discuss your approach to managing project dependencies and ensuring data trust.