At a Glance
- Tasks: Design and maintain analytical data models while collaborating with a dynamic engineering team.
- Company: Join a forward-thinking tech company that values inclusivity and innovation.
- Benefits: Enjoy flexible remote work, generous leave, and a vibrant team culture.
- Other info: Access to career development funds and fun team events like pottery painting.
- Why this job: Shape the future of products and make a real impact in a collaborative environment.
- 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.
Qualifications
- 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.
Values
- 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.
Benefits
- 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 - UK (Remote) in Bristol employer: Immersive
As a Senior Analytics Engineer at our UK-based remote company, you will thrive in a vibrant and inclusive work culture that values collaboration and innovation. With flexible working options, generous leave policies, and a commitment to professional development, we empower our employees to grow while enjoying a healthy work-life balance. Join us to be part of a team that not only pushes boundaries but also celebrates individual contributions, all while being conveniently connected to our Bristol hub.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer - UK (Remote) in Bristol
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in analytics. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects or contributions to open-source work. This gives potential employers a tangible sense of your capabilities and how you tackle real-world problems.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to analytics engineering. Think about how you can demonstrate your problem-solving skills and your ability to collaborate with teams. We want to see how you think!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team at StudySmarter.
We think you need these skills to ace Senior Analytics Engineer - UK (Remote) 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 BI software. We want to see how your skills align with 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 team. Don't forget to mention your collaborative spirit and customer-centric approach!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to design and maintain analytical data models.
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, we love seeing applications come in through our own platform!
How to prepare for a job interview at Immersive
✨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 cloud environments like Snowflake. This will show that you understand the core responsibilities of the role.
✨Showcase Collaboration Skills
Since this role involves working closely with Data Engineers and Analysts, prepare examples of how you've successfully collaborated in previous projects. Highlight any experiences where you assessed upstream product changes and mitigated their impact on data quality.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach optimising data models for efficient querying or leading initiatives on data quality. This will demonstrate your analytical thinking and ability to operate autonomously.
✨Familiarise Yourself with BI Tools
If you have experience with BI tools like Power BI or Looker, make sure to mention it. If not, do a bit of research on how these tools integrate with data models. Showing that you're proactive about learning can really impress the interviewers.
