At a Glance
- Tasks: Design and maintain analytical data models while collaborating with a dynamic engineering team.
- Company: Join a forward-thinking tech company focused on innovation and inclusivity.
- Benefits: Enjoy flexible remote work, generous leave, and a supportive culture.
- Other info: Participate in fun team events and enjoy excellent career development opportunities.
- Why this job: Shape the future of products and make a real impact in a vibrant team.
- Qualifications: Proficient in SQL and data modelling, with experience in cloud data warehouses.
The predicted salary is between 60000 - 75000 £ per year.
We are looking for a Senior Analytics Engineer to join our UK Engineering team. You will collaborate with Data Engineers, Data Analysts, and Software Engineers to design, build, and maintain analytical data models within our data warehouse.
Reporting to an Engineering Manager, you will be a key contributor as we develop the Immersive One platform, shaping future products across our entire system landscape.
Responsibilities- Design, build, and maintain high‑quality datasets for engineering and reporting.
- Collaborate 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, especially for reports embedded within the main platform.
- Lead initiatives on data quality, observability, and model optimisation.
- Proficient in transforming, testing, and documenting data while maintaining robust data lineage.
- Knowledgeable in data modelling, access, and storage techniques.
- Experience following software‑engineering best practices such as version control and continuous integration.
- Strong proficiency using SQL in cloud data warehouses (Snowflake), comfortable with performance optimisation, data partitioning, and window functions.
- Ability to operate effectively and autonomously across multiple teams in ambiguous situations.
- 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.
- Driven – push boundaries to achieve ambitious outcomes.
- Inclusive – foster a culture where every individual contributes.
- Customer‑centric – build deep relationships to support customer success.
- One Team – collaborate globally, resilient in adversity.
- Time off, flexible and remote working, 25 days annual leave + 2 volunteering days and your birthday off.
- Additional holiday days up to 30 after five years of service.
- Enhanced parental leave, mindfulness groups, critical illness cover, 7% matched pension, private healthcare plan.
- Career and learning development, professional development fund, ‘Learn Anything’ fund.
- Recognition & rewards for living values and behaviours.
- Flexible working options, e.g., flexible start/finish times, reduced hours.
- Vibrant team culture with events such as pottery painting, paper mask making, dungeons & dragons.
- Easy access to UK hub – Bristol centre, 10‑minute walk from train station; railcard loan and cycle scheme.
We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be yourself and do your very best work.
Senior Analytics Engineer - Remote in UK in Bristol employer: Immersive Dynamics Inc.
As a Senior Analytics Engineer at our UK-based company, you will thrive in a vibrant and inclusive work culture that prioritises collaboration and innovation. With flexible remote working options, generous annual leave, and a strong commitment to professional development, we empower our employees to grow and excel in their careers while enjoying a healthy work-life balance. Join us to be part of a dynamic team that values diversity and fosters a supportive environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer - Remote in UK in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or join relevant online communities. 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 case studies that highlight your data modelling and analytics projects. This is your chance to demonstrate how you can contribute to our Immersive One platform.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled data quality issues or optimised queries in the past. We love hearing about your hands-on experience!
✨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 joining our team.
We think you need these skills to ace Senior Analytics Engineer - Remote in UK in Bristol
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 align with what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and built analytical data models. We love seeing real examples of your work, especially if they demonstrate your ability to collaborate across teams and tackle complex data challenges.
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. We appreciate a personal touch that shows us who you are beyond your qualifications.
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 gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Immersive Dynamics Inc.
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss how you've designed and maintained datasets in the past, especially in relation to cloud data warehouses like Snowflake. This will show that you understand the technical requirements of the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Engineers and Analysts, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight any experiences where you’ve led initiatives or worked across teams to achieve a common goal.
✨Demonstrate Your Problem-Solving Abilities
Expect questions about how you handle ambiguous situations or challenges in data quality and model optimisation. Prepare specific examples that showcase your analytical thinking and how you’ve applied domain knowledge to solve complex problems.
✨Familiarise Yourself with BI Tools
If you have experience with BI tools like Power BI or Looker, make sure to mention it! Be ready to discuss how you’ve used these tools to create insightful reports or dashboards, as this will align well with the responsibilities of the role.
