At a Glance
- Tasks: Architect and deliver high-performance data products that drive business insights.
- Company: Join Future, a global data-first platform with trusted brands.
- 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 in a dynamic environment with cutting-edge technology.
- 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 complex technical architectures to 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 … 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.
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.
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: gamigo AG
At Future, we pride ourselves on being a data-first platform that fosters innovation and collaboration. As a Senior Analytics Engineer in our Bath office, you'll enjoy a hybrid work model, uncapped leave, and the opportunity to share in our success through profit-sharing bonuses. Our inclusive work culture not only values diverse perspectives but also provides ample opportunities for professional growth, making it an excellent place for those seeking meaningful and rewarding employment.
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 other platforms. Ask them about their experiences and any tips they might have for landing the Senior Analytics Engineer role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and understanding data transformation pipelines. Be ready to discuss how you've tackled similar challenges in past roles, as this will show you're the right fit for the job.
✨Tip Number 3
Showcase your projects! If you’ve worked on data products or analytics projects, create a portfolio or a GitHub repository to demonstrate your skills. This gives you a chance to talk about your hands-on experience during interviews.
✨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, it shows you’re genuinely interested in being part of the Future team.
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 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, clarity is key! Use straightforward language to explain your past experiences and achievements. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Future!
How to prepare for a job interview at gamigo AG
✨Know Your Data Products
Before the interview, dive deep into understanding data products and how they function within a business. 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
Brush up on your SQL knowledge, particularly with BigQuery. Prepare to demonstrate your ability to optimise performance and create scalable logic. You might even be asked to solve a problem on the spot, so practice writing clean, efficient queries.
✨Familiarise Yourself with Dataform
Since you'll be using Dataform or dbt, make sure you understand how to design and deploy data transformation pipelines. Be ready to share examples of past projects where you've successfully implemented these tools to enhance data workflows.
✨Prepare for Technical Collaboration
As a Senior Analytics Engineer, you'll need to work closely with BI, Data Engineering, and Data Science teams. Think of examples where you've acted as a consultative partner, translating strategic requirements into structured data schemas, and be prepared to discuss how you ensure stakeholder alignment.
