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For Companies At a Glance
- Tasks: Design and build data pipelines to improve neighbour wellbeing and operational performance.
- Company: Birchgrove, a unique build-to-rent operator for older adults in the UK.
- Benefits: Competitive pay, flexible working options, and the chance to make a real difference.
- Why this job: Join us to create impactful data solutions that enhance lives and community.
- Qualifications: Experience in data engineering, API integration, and strong Python skills.
- Other info: Exciting opportunity to shape our data journey and grow your career.
The predicted salary is between 10417 - 12500 £ per month.
Location: Hybrid or remote
Term: 3 month fixed term contract
Remuneration: £12,500 for 3 months
About Birchgrove
Birchgrove is the only build-to-rent operator in the UK exclusively for older adults. Our mission is to enrich the lives of our neighbours and add healthy years to their lives. We operate neighbourhoods rather than care homes, placing independence, dignity and community at the heart of what we do. We’re a forward-thinking organisation using data to improve neighbour wellbeing, operational performance and long-term decision-making.
The Opportunity
We’re looking for an experienced Data Engineer to join Birchgrove on a 3-month contract to deliver several clearly defined, high-impact data integration projects. This is a hands-on, delivery-focused role. You’ll design, build and document reliable, production-grade ETL/ELT pipelines that integrate operational systems into our cloud data warehouse enabling improved reporting and analytics across the business. You’ll be joining at an exciting stage in our data journey, helping us move from early foundations to a more connected, scalable and dependable data platform.
Key Project Deliverables
- Fall detection system integration
- Ingest data from a fall detection platform using APIs and webhooks
- Land and model the data in Snowflake
- Implement reliability best practices: monitoring, alerting, logging, retries, and clear documentation
- Extract and ingest data from our resident management system
- Design robust data models to support reporting on neighbour wellbeing and operations
- Ensure maintainable transformations and clear data definitions
- Design and build an API-based integration between two facilities management systems
- Enable joined-up reporting across maintenance, safety and operational data
- Deliver clean, consistent datasets suitable for analytics and dashboards
- Ingest data from our marketing platform using APIs
- Land and model the data in Snowflake
These projects will directly support improved insight, faster decision-making and better outcomes for our neighbours and team.
Tools & Technology Stack
You’ll work with and help establish best practice around the following tools:
- Snowflake (cloud data warehouse)
- Fivetran (managed ingestion)
- Airbyte (custom & API-based integrations)
- dbt (transformations, testing and documentation)
- Power BI (analytics and dashboards)
We’re particularly keen to speak with candidates who are highly confident with:
- API-driven pipeline design (authentication, pagination, rate limiting, incremental loads)
- Webhook ingestion patterns and event-driven data capture
- Building reliable, well-monitored pipelines with clear documentation and ownership
About You
- Proven experience as a Data Engineer, delivering pipelines end-to-end in modern cloud stacks
- Strong hands-on skills with APIs, webhooks, and pipeline-based ETL/ELT
- Confident using Python for data integration and automation
- Comfortable implementing practical reliability patterns (e.g., idempotency, retries, monitoring, alerting)
- Strong data modelling and transformation experience (ideally with dbt)
- Able to work independently, but collaborate closely with non-technical stakeholders
- Motivated by purpose-driven work and using data to improve real lives
How to Apply
If you’re an experienced Data Engineer looking for a short-term contract where you can deliver meaningful work with real-world impact, we’d love to hear from you.
Data Engineer... in Surrey employer: Birchgrove
Contact Detail:
Birchgrove Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer... in Surrey
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with projects! Build a portfolio showcasing your skills in API-driven pipeline design and data modelling. This will not only impress potential employers but also give you real-world examples to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of tools like Snowflake, dbt, and Power BI. Be ready to talk about your experience with ETL/ELT processes and how you've implemented reliability best practices in past projects.
✨Tip Number 4
Apply through our website! We’re always looking for talented individuals like you. Make sure to tailor your application to highlight your relevant experience and passion for using data to improve lives.
We think you need these skills to ace Data Engineer... in Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT pipelines, APIs, and any relevant tools like Snowflake or dbt. 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! Share why you're passionate about using data to improve lives and how your experience aligns with our mission at Birchgrove. Keep it concise but impactful!
Showcase Your Projects: If you've worked on similar projects before, don’t hold back! Include specific examples of your work with data integration, monitoring, and documentation. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Birchgrove
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Snowflake, Fivetran, and dbt. Be ready to discuss your hands-on experience with these technologies and how you've used them to build reliable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you successfully integrated data systems or solved complex data challenges. Highlight your approach to designing ETL/ELT pipelines and how you ensured their reliability and performance.
✨Understand the Company’s Mission
Research Birchgrove's mission to enrich the lives of older adults. Be prepared to discuss how your work as a Data Engineer can contribute to this goal, especially in terms of improving neighbour wellbeing through data-driven insights.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining technical concepts in simple terms. Since you'll be collaborating with non-technical team members, demonstrating your ability to bridge the gap between data engineering and business needs will set you apart.
