Data Engineer / Analytics Engineer

Birchgrove
Cobham
3 weeks ago
Create job alert

Data Engineer / Analytics EngineerAbout BirchgroveBirchgrove 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 OpportunityYou 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 & ArchitectureDesign and implement scalable data pipelines and ETL processes.Set up and maintain our data warehouse.Ensure robust data governance and security. Analytics Engineering & DashboardingTransform 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 AnalyticsResearch 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 & CommunicationWork 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 YouCurious & 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 ApplyIf 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

Consultant (Data engineer/ Analytics)

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

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

Analytics Engineer

Analytics Engineer

Lead Data Engineer

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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.