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For Companies At a Glance
- Tasks: Lead data quality initiatives and build high-quality datasets for impactful reporting.
- Company: Join Immersive Labs, a rapidly growing tech company with a vibrant culture.
- Benefits: Enjoy flexible working, generous leave, and a dedicated professional development fund.
- Other info: Experience a dynamic workplace with fun recognition socials and excellent career growth.
- Why this job: Make a real impact on our innovative platform while collaborating with talented teams.
- Qualifications: Proficient in SQL, data modelling, and software engineering best practices.
The predicted salary is between 60000 - 75000 £ per year.
Immersive Labs is seeking a Senior Analytics Engineer to join our UK engineering team. This role is a key part in building our Immersive One platform, working with data engineers, analysts and software engineers to develop, maintain and refactor analytical data models within our data warehouse.
Key Responsibilities
- Lead initiatives on data quality, observability, and model optimisation.
- 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.
- Develop data models optimized for efficient querying over large datasets, specifically for reports embedded within our main platform.
Required Qualifications
- Proficiency in transforming, testing, and documenting data while maintaining a robust data lineage.
- Knowledge in data modelling, data access, and data storage techniques.
- Experience following software engineering best practices such as version control and continuous integration.
- Strong proficiency using SQL in cloud data warehouses (Snowflake) and comfort with performance optimisation, data partitioning, and window functions.
- Ability 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.
Benefits
- Time off, flexible and remote working; 25 days annual leave + 2 volunteering days and a birthday off.
- Holiday days increase to a maximum of 30 days after five years of service.
- Enhanced parental leave, mindfulness groups, critical illness cover, 7% matched pension, private healthcare plan and more.
- Career and learning development with a dedicated professional development fund and ‘Learn Anything’ fund.
- Recognition socials include pottery painting, paper mask making, dungeons and dragons, etc.
- Convenient UK hub location in Bristol centre, walk to train station; railcard loan and cycle scheme to buy a new bike.
About Immersive Labs
Immersive Labs has grown from a cargo container in Bristol, UK to over 300 employees globally, with more than £150 million in funding and recognition as a best place to work.
Equal Opportunity
We encourage people of all backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
Senior Analytics Engineer - Bristol, UK (Hybrid Working) employer: Immersive
Contact Detail:
Immersive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - Bristol, UK (Hybrid Working)
✨Tip Number 1
Network like a pro! Reach out to current employees at Immersive Labs on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data modelling and SQL prowess. When you get the chance, share it during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world scenarios! Think about how you've tackled data quality issues or optimised models in the past. This will show that you can hit the ground running in the role.
✨Tip Number 4
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 joining the team at Immersive Labs.
We think you need these skills to ace Senior Analytics Engineer - Bristol, UK (Hybrid Working)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with SQL, data modelling, and any relevant tools like dbt or Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how you can contribute to our Immersive One platform. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's optimising data models or collaborating with teams, we want to know how you've applied your skills in real-world scenarios. Don't hold back!
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 don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Immersive
✨Know Your Data Inside Out
As a Senior Analytics Engineer, you'll be working with complex datasets. Make sure you brush up on your SQL skills and understand the data models relevant to the role. Be prepared to discuss how you've transformed and optimised data in previous projects.
✨Showcase Your Collaboration Skills
This role involves working closely with engineers and analysts. Think of examples where you've successfully collaborated on projects, especially in situations of ambiguity. Highlight your ability to communicate effectively across teams.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach data quality issues or model optimisation challenges. Show them your analytical thinking and how you can apply domain knowledge to solve real-world problems.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies mentioned in the job description, like dbt, Power BI, and cloud platforms. If you have experience with Snowflake or similar data warehouses, be sure to mention it. Showing that you're already familiar with their tech stack will give you an edge.