At a Glance
- Tasks: Join us as an Analytics Engineer and shape our data strategy with innovative modelling.
- Company: Immediate, home to beloved UK brands like Radio Times and Good Food.
- Benefits: Enjoy 25 days holiday, flexible working, and tailored training opportunities.
- Other info: Be part of a diverse team committed to growth and inclusivity.
- Why this job: Make a real impact on data-driven decisions in a dynamic, collaborative environment.
- Qualifications: Experience in analytics engineering, strong SQL skills, and dbt expertise required.
The predicted salary is between 50000 - 50000 £ per year.
- Description
- Analytics Engineer (up to £50,000 per annum)
Immediate is home to some of the biggest and most loved consumer brands in the UK, including Radio Times, Good Food and BBC Gardeners World magazine.
Our trusted, quality content reaches millions of people a month across digital, print, video, podcasts, apps and live events.
We’re the destination for people looking to get more from the things they love. We’re here to inspire, fuel, encourage and educate
Whether it’s the big things, or the little things; from reaching fitness goals to savouring good food, cultivating outdoor spaces, or enjoying the latest TV sensation – we help bring our audiences joy!
About the Role
We are building towards 3 million subscribers by 2030, and data is central to that ambition.
We are looking for an experienced Analytics Engineer to join our Data function on a permanent basis, playing a key role in building the data foundation that powers insight, self-serve analytics and AI-driven decision making across Immediate.
Reporting to the Lead Analytics Engineer, you will be instrumental in developing scalable, well-tested data models that are built to be used directly by people across the business, not just to power dashboards.
This is a hands-on technical role suited to someone with a strong command of dbt and Databricks who is passionate about data quality, modelling best practice, and enabling genuinely self-serve, data-driven decisions.
You will contribute across the full data modelling lifecycle, from design and development through to testing, documentation and enablement, working as part of a collaborative, cross-functional data team.
We are moving from a reactive, request-driven reporting culture to one where the data team proactively shapes decisions.
That means curiosity about the business beyond the ticket in front of you, a willingness to challenge how things have always been done, and comfort with ways of working that are still evolving as we build them.
As a Analytics Engineer, You Will
- Provide subject matter expertise to help shape and guide the overall data modelling strategy across our data domains.
- Design and implement dbt models on Databricks to support a comprehensive and unified view of subscriptions and content data.
- Build data products, not just reports well-modelled, reusable data sets that power dashboards, self-serve querying and conversational analytics tools, with clear lineage back to source.
- Contribute to the ongoing evolution of our data platform by identifying and delivering improvements to data quality, coverage, and performance.
- Serve as a subject matter expert on data modelling, supporting analysts and stakeholders in understanding and using our data assets effectively.
- Design and implement scalable and maintainable dbt models on Databricks across our core data domains, including subscriptions and content.
- Create and maintain a suite of dbt tests to ensure data quality, consistency, and trustworthiness.
- Collaborate with data analysts, engineers, and business stakeholders to develop and maintain reporting marts that meet evolving analytical needs.
- Support the build-out of self-serve and conversational analytics capability, helping design data structures that natural language query tools can reliably and accurately query.
- Provide guidance on data modelling best practices, performance optimisation, and modular design in dbt.
- Participate in code reviews and knowledge-sharing sessions to uplift team capability.
Requirements
- Proven experience working as an Analytics Engineer, Data Engineer, or similar role.
- Deep proficiency in SQL for data transformation and analysis.
- Strong hands-on experience with dbt (Data Build Tool) on Databricks, including advanced modelling techniques, test writing, and performance optimisation.
- Solid understanding of dimensional modelling and modern data stack principles.
- Familiarity with version control systems (e. g., Git) and collaborative workflows.
- Strong communication skills with the ability to communicate clearly and work independently with minimal supervision.
- A proactive, curious mindset: comfortable identifying problems and opportunities rather than only working from a ticket.
Desirable
- Experience working with subscription-based business models and datasets is highly desirable.
- Broader experience with cloud data platforms such as Azure, and familiarity with Databricks features beyond dbt, such as Delta Lake or Unity Catalogue.
- Familiarity with data visualisation tools and BI tools and their data requirements.
- Previous involvement in large-scale data migration or re-platforming projects.
Tools & Technologies You’ll Work With
- Databricks (primary data platform for modelling and transformation)
- dbt for data modelling and transformation on Databricks
- SQL (Databricks SQL / Spark SQL)
- VS Code UI for SQL and dbt coding
- Git/Git Hub
- Databricks Workflows / Delta Live Tables for orchestration
- Modern data visualisation and self-serve / conversational analytics tooling
Benefits
- A relaxed working environment with regular socials including a summer festival
- Immediate Community webinars, well-being initiatives and Mental Health First aiders
- 25 days holiday plus a day for your birthday. Our offices will be closed between Christmas and New Year’s which are in addition to your annual entitlement
- Tailored training and development through our Love Learning platform
- A progressive and transparent culture with clear career progression
- Flexible / hybrid working plus early finish Fridays
- Cycle to work scheme
- Enhanced Family Policies including paternity, adoption and surrogacy leave. We also provide a pregnancy loss, fertility, and carers policy
- Competitive pension plans and Life Assurance
- A newly renovated modern office with lots of collaborative spaces
At Immediate, we pride ourselves on our open, collaborative, and dynamic culture that empowers our people to thrive and give their best.
We care deeply about our people, environment, and impact.
Our active Diversity & Inclusion network, comprehensive well-being programs, and clear sustainability strategies reflect this commitment.
People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us.
Immediate is an equal opportunities employer.
We’ll never treat anyone less favourably because of their sex, gender reassignment, pregnancy and maternity, marital/civil partnerships, sexual orientation, race, nationality, ethnic origin, age, religion or belief or disability.
We’re also committed to supporting applications from those who are returning to work following a career break, maternity leave or caring responsibilities.
Immediate is a place where you can grow, be supported, and make a difference
Analytics Engineer in London employer: Immediate Media Co
Immediate Media Co is an exceptional employer located in Greater London, offering a vibrant work culture that fosters creativity and collaboration. With competitive benefits such as hybrid working options and extensive well-being initiatives, employees are encouraged to thrive both personally and professionally. The company prioritises employee growth opportunities, making it an ideal place for those seeking meaningful and rewarding careers in the events industry.
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We think this is how you could land Analytics Engineer in London
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We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
