Senior Analytics Engineer

London, England, United Kingdom

Immediate Media Co

Discover Immediate's trusted brands that inspire millions across the UK. From food to entertainment, parenting to automotive.

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Senior Analytics Engineer (up to £65,000)

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

This technical role sits within the core Data & Analytics team, embedded in the broader Product & Technology department. Reporting to the Lead Analytics Engineer, you will work closely with Data Analysts, Data Engineers, and stakeholders across the business to build scalable data pipelines, optimize our data architecture, and support analytical initiatives across all Immediate’s brands. Your work will directly influence Immediate's digital strategy, contributing to impactful content delivery and audience engagement.

 

As a champion for analytics engineering, you’ll lead efforts to enhance our data capabilities and maturity while keeping Immediate at the forefront of data engineering trends and methodologies. Your contributions will drive innovation through automation and forward-thinking approaches to data integration, quality, governance, and pipeline optimisation.

You’ll Love this Role if:

  • You have experience building robust, scalable data pipelines and are passionate about data modelling and continuous improvement.
  • You are highly skilled in managing large datasets using SQL, DBT, and cloud data warehouses with experience in orchestration tools like ADF.
  • You are committed to staying current on new data engineering trends and eager to contribute strategically to solid data infrastructure.
  • You prioritize data quality, have a strong understanding of data governance, and enjoy implementing testing frameworks to ensure data integrity.

As a Senior Analytics Engineer, You Will:

  • Develop, maintain, and optimize ETL/ELT processes using DBT, SQL, and Azure data platforms to ensure high-quality data is available for downstream analysis.
  • Collaborate with Data Analysts, Data Engineers, and stakeholders to define data needs, create data models, and ensure data integrity.
  • Contribute to the analytics engineering roadmap, setting project milestones, defining priorities, and aligning with long-term business goals.
  • Build and maintain data marts that support analysis of audience behaviour, content types, product features, and user journeys across our web and app platforms.
  • Integrate data with third-party tools, such as our Customer Data Platform and personalization services, to support marketing and engagement efforts.
  • Drive innovation in data practices by identifying opportunities for automation and optimization within workflows.
  • Implement data quality checks, testing frameworks, and governance practices to ensure data accuracy, reliability, and compliance with best practices.
  • Elevate data literacy across the company by providing technical guidance, creating documentation, and supporting the Data Academy.

Requirements

  • At least 4 years’ experience in data engineering, analytics engineering, or a related role, preferably within media, e-commerce, or digital products.
  • Strong proficiency in SQL and experience with data modelling & transformation tools, such as DBT.
  • Experience working with cloud data platforms, such as Azure Synapse, BigQuery, or DataBricks.
  • Proficiency in Git or other version control tools for collaborative project work.
  • Experience with data orchestration tools, such as Airflow or ADF.
  • Excellent problem-solving and communication skills, with the ability to work effectively across multiple teams and senior stakeholders.
  • Experience with Martech solutions and Python/predictive analytics is desirable but not essential.

Benefits

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

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Tags: Airflow Architecture Azure BigQuery Databricks Data governance Data pipelines Data quality dbt E-commerce ELT Engineering ETL Git Pipelines Python SQL Testing

Perks/benefits: Career development Fertility benefits Flex hours Health care Parental leave Team events

Region: Europe
Country: United Kingdom

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