At a Glance
- Tasks: Architect and deliver high-performance data products that drive insights and innovation.
- Company: Join Future, a global leader in specialist media with a vibrant culture.
- Benefits: Enjoy uncapped leave, profit-sharing bonuses, 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, expert SQL skills, and a passion for data.
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 employer: Future Publishing
At Future, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Analytics Engineer in our Bath office, you'll enjoy the flexibility of a hybrid work model, uncapped leave, and opportunities for personal growth through our Share Incentive Plan. We are committed to diversity and inclusion, ensuring that every employee feels valued and empowered to contribute to our mission of delivering trusted content across our global media brands.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and projects. This is your chance to demonstrate your expertise in SQL, Dataform, and all that jazz. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with various teams. Remember, it's not just about what you know, but how you share it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Future. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace Senior Analytics Engineer
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 hold back on 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, be sure to mention your hands-on experience with tools like Dataform or dbt. We love seeing examples of how you've optimised performance and built scalable solutions.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear 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 a BI platform like Looker. Be ready to discuss your experience with transforming raw data into curated products, as this will show your alignment with the role's key responsibilities.
✨Showcase Your SQL Skills
Brush up on your SQL knowledge, especially if you have experience with BigQuery. Prepare to discuss specific examples of how you've optimised performance and built scalable logic in previous projects. This will demonstrate your technical expertise and readiness for the challenges ahead.
✨Prepare for Technical Questions
Expect questions about your experience with Dataform or dbt, and be ready to explain how you've applied software engineering best practices in your work. Think of scenarios where you've led projects from discovery to production, as this will highlight your end-to-end delivery leadership.
✨Emphasise Collaboration
As a Senior Analytics Engineer, you'll need to work closely with BI, Data Engineering, and Data Science teams. Prepare examples that showcase your consultative approach and how you've translated strategic requirements into structured data schemas. This will illustrate your ability to foster collaboration and ensure stakeholder consensus.
