The Senior Analytics Engineer will design and optimize analytics architecture, manage data transformation, ensure data quality, and drive automation initiatives. Collaboration with cross-functional teams will enhance business intelligence capabilities.
TrustedHousesitters is a fast growing, direct-to-consumer marketplace that is redefining pet care and travel. Our platform connects a thriving global community of pet lovers through a unique trust-based membership model. We’re on a mission to create a world where pet owners can travel with peace of mind , knowing their pets are in safe hands, while sitters enjoy unique homestays around the world.
Our vision is simple: to become the world’s most loved travel solution for pet people - and we’re making it a reality. With almost 250,000 members worldwide with the ambition of scaling to 1 Million, 97% say we have improved their lives, and our growth is high as word-of-mouth fuels a fast-growing, passionate community.
TrustedHousesitters was named one of Escape the City's top organisations to work for in 2023 and we were proud to be part of the 2024 cohort of Technation’s Future Fifty, the UK’s leading pre-IPO programme. In October 2024 we secured B Corp certification, reflecting our commitment to our people, the planet and pets across the world.
At TrustedHousesitters, we embrace a collaborative, high-impact work environment where innovation, individual accountability, and ownership drive everything we do. We believe in empowering our people to see the real impact of their work. Every team member plays a role in crafting quality experiences for our members, and we continuously push ourselves to improve, iterate, and innovate always with the goal of strengthening our global community of pet lovers.
Now is an exciting time to join TrustedHousesitters where innovation, advocacy and community-driven growth are at the heart of our success. If you're looking to make a real impact in a mission-led, fast-scaling tech business, this is the right place for you.
We are looking for a highly accomplished Senior Analytics Engineer with exceptional expertise in dbt to join our expanding Data Platform team. In this role, you will be instrumental in designing and optimising our analytics architecture, transforming complex raw data into highly reliable, well-documented datasets.
These datasets will serve as the foundation for advanced analytics, MLOps, self-serve capabilities, and strategic decision-making across the business. You will collaborate with our Data Manager, Data Engineer, Analysts, and business stakeholders, building the scalable data pipelines and semantic layers that power our reporting, dashboards, and critical decisions.
This is a remote, UK based role and the hours of work are 37.5 hours per week. The salary range will be £65-78k per annum dependent on experience, plus discretionary bonus and generous equity options.
Key Responsibilities:
- Analytics Architecture & Modeling: Lead the design, development, and evolution of highly robust, scalable, and well-tested data models within dbt, establishing best practices that support analytics and business intelligence initiatives.
- Performance Optimisation & Scalability: Optimise complex data transformation layers, ensuring peak performance, scalability, and efficiency of data pipelines to accommodate rapid data growth and evolving business needs.
- Cross-Functional Leadership: Act as a key technical leader, collaborating extensively with data analysts, data scientists, and senior business stakeholders to translate complex business challenges into innovative and impactful technical solutions.
- Data Quality & Security: Champion data accuracy, consistency, and security through the implementation of testing frameworks, comprehensive monitoring tools, and adherence to leading data governance principles.
- Comprehensive Documentation & Data Literacy: Establish and enforce documentation standards for datasets, definitions, and data flows, fostering a culture of data literacy and empowering self-serve analytics across the organisation.
- Automation & CI/CD: Drive the adoption and implementation of automation strategies for data workflows, version control, and robust CI/CD pipelines across the entire analytics stack.
- Machine Learning Enablement: Oversee the transformation and migration of complex datasets to Databricks, ensuring data quality and accuracy to build a robust foundation that unlocks various ML use cases.
Qualifications:
- 5+ years of experience in analytics engineering, data engineering, or a related field.
- Advanced SQL skills and experience architecting solutions on modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Hands-on experience with advanced modelling techniques in dbt.
- A deep understanding of ETL/ELT processes and tools (e.g., Fivetran, Airbyte, Stitch).
- Experience with data visualisation tools (e.g., Mode, Looker, Tableau, Power BI) and designing robust BI semantic layers.
- Exceptional understanding of data warehousing principles, dimensional modeling, and analytics best practices.
- Proficiency in Git-based workflows with a strong background in implementing and managing CI/CD pipelines for data transformations.
- Outstanding communication, collaboration, and stakeholder management skills, with a demonstrated ability to influence and lead cross-functional initiatives.
Nice to Have:
- Experience in a cloud environment (e.g., AWS, GCP, Azure).Proficiency in Python for data scripting, orchestration and automation.
- Experience designing and implementing data models using Medallion Architecture.
- Background in a fast-paced, high-growth environment (e.g., tech, SaaS, ecommerce) preferably with experience scaling data solutions.
- Knowledge of data privacy regulation and governance frameworks.
- Experience using Databricks for large-scale data processing and analytics.
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!
In your application, please feel free to note which pronouns you use (For example- she/her/hers, he/him/his, they/them/theirs, etc).
At the heart of our team are a mix of diverse backgrounds. Here at TrustedHousesitters, we’re committed to the equal opportunities policy throughout the interview process and selection. Offers of employment into TrustedHousesitters are based solely on individual merit, qualifications, and the person's professional suitability.
Gender identity, sexual orientation, marital or civil partnership status, colour, race, nationality, ethnic or national origins, religion or beliefs, age, mental or physical disability, medical condition, pregnancy or maternity status, or any other protected characteristics do not enter into our decision-making process.
Top Skills
Airbyte
AWS
Azure
BigQuery
Databricks
Dbt
Fivetran
GCP
Git
Looker
Mode
Power BI
Python
Redshift
Snowflake
SQL
Stitch
Tableau
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