Senior Analytics Engineer - UK (Remote)

Immersive is hiring! Could you be our next Senior Analytics Engineer?

Come and join our established UK Engineering team as a Senior Analytics Engineer - We are looking for someone curious, eager to solve problems, and excited to build alongside a collaborative team.

Reporting to one of our Engineering Managers, you will be a key part of building our Immersive One platform. You’ll join a team where we value determination, ingenuity, and pragmatic, reusable technical solutions. You can see part of it in our free community offering at immersivelabs.com/cybermillion.

This is an exciting opportunity to be responsible for developing a truly ground breaking product. You will be instrumental in shaping the future of our product, working across our entire system landscape

As a Senior Analytics Engineer you’ll be responsible for collaborating with Data Engineers, Data Analysts and Software Engineers to develop, maintain and refactor analytical data models within our data warehouse.

In this role, you will be working as part of a product team and utilise strong technical and communication skills to work cross-functionally to deliver valuable insights to our customers.

We are not just seeking a skillset though - we are looking for someone who will also become an important and vital part of our team, so we seek a driven, curious and collaborative person to become our next colleague

At Immersive, we value determination, ingenuity, collaboration and an understanding that unique products require unique technical solutions.

You'll get to work in a friendly multi-disciplinary agile team and also work on innovative ideas regularly during our Hack Weeks, where collaboration between different teams is encouraged to find unique solutions.

As a Senior Analytics Engineer within our team, you will lead initiatives on topics such as data quality, observability and model optimisation. Typical responsibilities could involve;

• →

  Design, build and maintain high quality datasets for engineers to build robust customer facing reporting

• →

  Collaborate closely with engineers to assess and mitigate the impact of upstream product changes

• →

  Apply domain knowledge to develop semantic layers for business intelligence

• →

  Mentor junior engineers and, teaching them the SDLC process and engineering best practices

• →

  Time off, flexible and remote working so you can work when is best for you, includes 25 days annual leave + 2 volunteering days and your birthday off

• →

  The longer you are with Immersive, the more holiday days you get, up to a maximum of 30 days after five years of service

• →

  Look after your family and yourself with enhanced parental leave, mindfulness groups, critical illness cover, 7% matched pension, private healthcare plan and more

• →

  Career and learning development through the platform and our ‘Learn Anything’ fund

• →

  Recognition & Rewards for doing great work and living our values and behaviours

• →

  Informal or formal flexible working options, e.g. flexible start and finish times, reduced hours, job share, remote working

• →

  We’re a sociable, tight-knit team with monthly socials, and sports clubs. Our socials have included everything from pottery painting and paper mask making, to movie nights and escape rooms

• →

  When you do visit the UK hub, getting there is easy: we’re based in the centre of Bristol, just a 10 minute walk from the train station. We also offer railcard loan and cycle scheme to buy a new bike

• You are proficient in transforming, testing, and documenting data while maintaining a robust data lineage.

• You are knowledgeable in data modelling, data access, and data storage techniques

• You have experience following software engineering best practices like version control and continuous integration

• You have strong proficiency using SQL in cloud data warehouses (we use Snowflake) and are comfortable with performance optimization, data partitioning, and window functions

• You are able to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high-level direction

• Experience with dbt for data transformation layer

• Experience with BI tooling such as Power BI or Looker

• Experience with AWS, Azure or GCP is a plus