At a Glance
- Tasks: Architect and deliver high-performance data products that drive business insights.
- Company: Join Future, a global leader in specialist media with a vibrant culture.
- Benefits: Enjoy uncapped leave, profit sharing, and well-being support.
- Other info: Hybrid role with excellent career growth and a commitment to diversity.
- Why this job: Make a real impact by transforming raw data into trusted insights.
- Qualifications: Experience in Analytics Engineering, SQL proficiency, and strong documentation skills.
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: You will design and deploy sophisticated data transformation pipelines using Dataform. You will lead the transition of raw data into curated, production-grade data products optimised for organisational scale and speed.
- Modernising Business Logic: You will lead the evolution of established business logic into modern, scalable SQL architectures. You will play a key role in codifying institutional knowledge into robust, modular code that supports Future's long‑term growth.
- Strategic Technical Partnership: You will act as a consultative partner to BI, Data Engineering, and Data Science teams. You will translate high‑level strategic requirements into structured data schemas, ensuring technical alignment and stakeholder consensus before development begins.
- Advancing Engineering Standards: You will champion and apply software engineering best practices to the analytics layer. This includes managing version control via GitLab, leading peer reviews, and enhancing our CI/CD workflows.
- End-to-End Delivery Leadership: You will own the full lifecycle of data product delivery. Operating with high autonomy, you will use Jira to orchestrate complex projects from initial discovery through to production, ensuring impact and transparency.
- Championing Data Trust: You will be the standard‑setter for data excellence. By implementing automated testing frameworks and observability alerting, you will ensure our data products remain reliable and trusted by downstream users.
- Enabling Data Lineage: You will build and maintain detailed documentation that illustrates data origin and transformation. Your work ensures that technical teams across the business can utilise our data assets independently and with confidence.
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. You understand how to build 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 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. Plus more great perks, which include:
- 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.
Who are we…
We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces. We've got ambitious plans that further build on our growth momentum and unlock new opportunities – and we're looking for driven people who want to be a part of it!
Our Future, Our Responsibility - Inclusion and Diversity at Future
We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive. When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone. Because a diverse team isn't just good for business. It's the Future.
Need adjustments? Please let us know if you need any reasonable adjustments made so we can give you the best experience!
Senior Analytics Engineer in Bath employer: Future Publishing
Future is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With a hybrid working model from our Bath office, employees enjoy the flexibility of remote work alongside the benefits of in-person teamwork. We provide uncapped leave, profit-sharing bonuses, and opportunities for personal growth, all while fostering a diverse and inclusive environment where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to current employees at Future on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with SQL, Dataform, and data product delivery. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Be ready to discuss your thought process! When you're in an interview, explain how you approach data modelling and transformation. This shows you’re not just about the end result but also about the journey.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team at Future!
We think you need these skills to ace Senior Analytics Engineer in Bath
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in Analytics Engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL prowess and any relevant projects you've led!
Showcase Your Technical Skills:Since this role is all about data products and engineering standards, include specific examples of your work with Dataform or dbt. We love seeing hands-on experience, so if you've optimised data for BI platforms like Looker, let us know!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate a well-organised application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Future Publishing
✨Know Your Data Products
Before the interview, dive deep into understanding data products and how they function within an organisation. Be ready to discuss your experience with transforming raw data into curated products, especially in relation to BI platforms like Looker and ML platforms like Vertex AI.
✨Showcase Your SQL Skills
Since expert proficiency in SQL is crucial for this role, prepare to demonstrate your SQL knowledge during the interview. Bring examples of complex queries you've written and be ready to discuss performance optimisation techniques you've employed in past projects.
✨Discuss Your Engineering Practices
Be prepared to talk about your commitment to software engineering best practices. Highlight your experience with version control using GitLab, automated testing frameworks, and how you ensure clean, documented code. This will show that you value quality and reliability in your work.
✨Prepare for Technical Collaboration
As a Senior Analytics Engineer, you'll need to act as a consultative partner to various teams. Think of examples where you've successfully translated strategic requirements into structured data schemas and how you ensured alignment among stakeholders before development. This will demonstrate your collaborative spirit and technical acumen.
