National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer / Analytics Engineer

Cobham
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer - Snowflake, dbt, AWS, Python - Remote

Data Engineer - Snowflake, dbt, AWS, Python - Remote

Data Engineer - Snowflake, dbt, AWS, Python - Remote

Data Engineer - Snowflake, dbt, AWS, Python - Remote

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)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.