Data Engineer / Analytics Engineer

Cobham
3 weeks ago
Create job alert

Data Engineer / Analytics Engineer

About Birchgrove

Birchgrove is the only build-to-rent operator in the UK exclusively for older adults. On first glance it may seem like our industry doesn’t lend itself to it, but we are an innovative and forward-thinking organisation so read on. 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 and community at the heart of what we do.

The Opportunity

You will be the first person in our data team, giving you complete ownership of our data function. You will lead our data strategy and infrastructure, with the freedom to start fresh or build on our early efforts. Our data is almost entirely in cloud-based systems (e.g. HubSpot, Xero), which we have begun integrating via Fivetran into a Snowflake data warehouse. We have three data critical systems that do not integrate with Fivetran, so if you think a different approach is better, we are open to your expertise. Hybrid role (based Cobham, Surrey & London)
 
Over seven years of operating, we have collected a wealth of data that is just waiting to be fully harnessed. Now, we need you to lead the charge in transforming this data into something useable. A critical early goal will be turning this data into compelling PowerBI dashboards that empower our executive leadership team to make data-led decisions.

Why Join Us?

Make a Meaningful Impact: We believe the data we have collected has the power to help improve the wellbeing of our neighbours and will allow us to intervene early to minimise life threatening events. We also believe it will potentially allow us to predict life expectancy.
 
Pioneering Use of AI: We have enormous potential to leverage AI and machine learning on our data. This is your chance to experiment, innovate, and push the limits of what’s possible.
 
Boost Operational Efficiency: From optimising sales fill-up rates to helping us choose the best land for future sites, you will help the wider business make data-driven decisions.
 
Autonomy & Growth: As our first and only data expert (for now!), you’ll have room to shape both the technical stack and the culture around data within Birchgrove.

Key Responsibilities
 
Data Infrastructure & Architecture

Design and implement scalable data pipelines and ETL processes.
Set up and maintain our data warehouse.
Ensure robust data governance and security.
 
Analytics Engineering & Dashboarding

Transform raw data into actionable models and data sets that can be easily consumed.
Build and maintain dynamic dashboards using tools like Power BI to democratise data access across the business.
Act as the go-to expert for the company’s analytics and reporting needs.
 
AI & Advanced Analytics

Research and propose advanced analytics solutions to drive insights into neighbour well-being, sales performance, and operational efficiencies.
Implement machine learning models or AI-driven tools to enhance decision-making and discover new business opportunities.
 
Collaboration & Communication

Work closely with cross-functional teams to understand data requirements and deliver solutions.
Translate complex technical concepts into clear, non-technical language for business stakeholders.
Advocate for data-driven practices and foster a culture of data literacy within Birchgrove.
 
About You

Curious & Enthusiastic: You love exploring cutting-edge data technologies and constantly seek ways to learn and improve.
Self-Starter: You thrive in an environment where you have the autonomy to make decisions and implement ideas.
Excellent Communicator: You can convey complex information in a straightforward way, ensuring teams across the business can leverage data for informed decisions.
Technical Expertise: Experience with ETL tools (e.g. Fivetran) and data warehouses (e.g. Snowflake). Familiarity with analytics engineering principles.
Analytical Mindset: Strong ability to analyse data, identify trends, and craft data models that unlock value for the business.
Passion for Purpose: You share our commitment to enhancing the lives of our neighbours and are excited by the prospect of using data for social good.
 
How to Apply

If you’re looking for a role where you can make a tangible difference, drive innovation, and own the entire end-to-end data journey from day one, we’d love to hear from you. Please upload your CV and send a cover letter explaining why you are the right fit for Birchgrove data vision.
 
REF-(Apply online only)

Related Jobs

View all jobs

Senior Data Analytics Engineer

Consultant (Data engineer/ Analytics)

Data Engineer

Fabric Data Architect / Manchester / Consultancy

Data Analytics Engineer

Data Engineer - Remote - Global Tech Company - £80,000 - Snowflake/ DBT/ SQL/ Airbyte

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.