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- Tasks: Transform raw data into clean datasets for analytics and decision-making.
- Company: Join a fast-growing pet care marketplace with a global community.
- Benefits: Enjoy remote work, equity options, and generous holiday leave.
- Why this job: Make a real impact in a mission-driven company that loves pets.
- Qualifications: 3+ years in analytics engineering and advanced SQL skills required.
- Other info: Collaborative team culture with opportunities for personal development.
The predicted salary is between 47000 - 55000 £ per year.
TrustedHousesitters is a fast growing, direct-to-consumer marketplace that is redefining pet care and travel. We’re on a mission to make travel work better for pets, for their people, and for the global community of animal lovers who look after them. We’ve grown into a global community with members in over 140 countries, a product people genuinely love, and a team of more than 100 brilliant humans powering it all. Our goal is to grow to 1 million members and make TrustedHousesitters the world’s most-loved travel solution for pet people.
We are looking for a highly motivated Analytics Engineer with strong skills working in dbt to join our growing data team. In this role, you will be responsible for transforming raw data into clean, reliable, and well-documented datasets that enable self-serve analytics and advanced data modeling across the business. You’ll sit in our Data Platform team, working closely with our Data Manager, Engineers, and business stakeholders to create scalable data pipelines and semantic layers that power reporting, dashboards, MLOps and decision-making. You’ll be working with a modern data stack built around Databricks, Segment, Fivetran and dbt. This is a remote, UK-based role, and the hours of work are 37.5 hours per week. The salary range will be £55,000-£65,000 per annum, dependent on experience, plus discretionary bonus and generous equity options.
Key Responsibilities
- Data Modeling: Design, build, and maintain robust, tested, and documented data models in dbt to support analytics and business intelligence.
- Data Transformation: Optimise the way in which our transformation layer builds to ensure scalability.
- Collaboration: Partner with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions.
- Governance & Quality: Ensure data accuracy, consistency, and security through validation testing and monitoring tools.
- Documentation: Maintain clear documentation for datasets, definitions, and data flows to support data literacy and self-serve analytics.
- Tooling & Automation: Improve and automate data workflows, version control, and deployment practices across the analytics stack.
Qualifications
- 3+ years of experience in analytics engineering, data engineering, or a related field.
- Advanced SQL skills and experience with modern data warehouses (e.g., Snowflake, BigQuery, Redshift – we use Databricks).
- Hands-on experience with advanced modelling techniques in dbt.
- A deep understanding of ETL/ELT processes and tools (e.g. Airbyte, Stitch – we use Fivetran).
- Experience with data visualization tools (e.g. Looker, Tableau, Power BI – we use Mode) and BI semantic layers.
- Strong understanding of data warehousing principles, dimensional modeling, and analytics best practices.
- Git-based workflow familiarity (version control, CI/CD pipelines for data).
- Excellent communication skills and ability to work cross-functionally.
Nice to have
- Experience in a cloud environment (e.g. AWS, GCP, Azure).
- Exposure to Python for data scripting or orchestration.
- Experience designing and implementing data models using Medallion Architecture.
- Background in a fast-paced, high-growth environment (e.g., tech, SaaS, ecommerce).
- Knowledge of data privacy and governance frameworks.
- Experience using Databricks.
Benefits
- Fully remote work
- Generous equity options
- Discretionary 10% annual bonus scheme
- 25 days holiday annually plus bank holidays and Christmas to New Year closure
- Pension scheme: 5% from you as an employee and 3% from TrustedHousesitters
- Premium TrustedHousesitters pet owner and sitter membership with various protections
- Additional memberships for friends and family
- Unlimited housesitting allowance and up to £500 per year towards travel costs
- £200 annually towards home office equipment
- Access to Spaces (co-working) locations worldwide
- Monthly working from home stipend
- Macbook provided
- Support for pet adoption and related costs
- Quarterly all-expenses-paid team meetups and ongoing events
- Support for personal development resources
- Bupa Health Insurance and Dental Insurance
- SimplyHealth Healthcare Cash plan
- Trusted Giving scheme and volunteering options
- Weekly virtual yoga sessions
- Brighton Bikeshare
- Recruitment Referral Bonus
If you’re ready to join us on our mission to become the most loved pet travel solution, we’d love to hear from you!
Analytics Engineer employer: Trusted Housesitters Group
Contact Detail:
Trusted Housesitters Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at TrustedHousesitters. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with dbt and data modelling. This is your chance to demonstrate how you can transform raw data into something magical.
✨Tip Number 3
Get ready for the interview! Research the company culture and think about how your values align with theirs. Be prepared to discuss how you can contribute to their mission of making travel better for pets and their people.
✨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 our awesome team at TrustedHousesitters.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with dbt, SQL, and any relevant data modelling techniques. We want to see how your skills align with our mission!
Show Your Passion: Let us know why you’re excited about joining TrustedHousesitters! Share your love for pets or travel, and how you can contribute to our goal of becoming the most-loved travel solution for pet people.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points where possible to make your achievements stand out. We appreciate clarity and want to quickly see what makes you a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Trusted Housesitters Group
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, especially dbt and Databricks. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data analysts and business stakeholders, prepare examples of how you've successfully collaborated in previous roles. Highlight any cross-functional projects where you translated data needs into technical solutions.
✨Prepare for Technical Questions
Expect questions about data modelling, ETL/ELT processes, and data governance. Be ready to explain your thought process when designing data models and how you ensure data quality and accuracy.
✨Demonstrate Your Passion for Pets
As TrustedHousesitters is all about pet care and travel, showing your enthusiasm for pets can set you apart. Share any personal experiences or insights that connect your love for animals with your professional skills in analytics.
