Data Engineer

Gildersome
2 weeks ago
Create job alert

Analytics/Data Engineer

📍 Location: Leeds - 2 days per week in the office
💰 Salary: Up to £80,000 per annum + Benefits

🚀 Help Build a Brand-New Data Function from the Ground Up
We're working with a fast-growing, tech-enabled business that's leading the way in its sector - and now they're kicking off a huge transformation in how they use data.
This is your chance to join at the very beginning of a newly formed data team, helping to revamp and modernise how data is collected, processed, and used to drive smarter decisions across marketing, operations, and beyond.

As the first Data Engineer on the team, you'll be instrumental in designing the foundation of this transformation - working directly with senior stakeholders and technical leads to create scalable, future-proof data infrastructure.

🔍 What You'll Be Doing

Building and maintaining data pipelines and architecture (Snowflake).
Connecting multiple data sources (Google Ads, Meta, Hubspot, etc.) into a centralised warehouse.
Supporting marketing and commercial teams with clean, actionable data.
Developing dashboards and reports that provide real business value.
Leading projects that make an immediate and measurable impact.
Helping define best practices and setting the tone for a growing data function.🧠 What We're Looking For

Experience designing and building data solutions using Snowflake or a similar cloud-based platform.
Strong SQL skills and experience in ETL/ELT pipelines.
Comfort working with digital marketing data and KPIs (CAC, LTV, conversion rates).
Familiarity with integrating data from platforms like Hubspot, Google Ads, Meta, etc.
Experience with BI/dashboarding tools and visualisation.
A pragmatic, problem-solving mindset with strong communication skills.Nice to have:
Experience with dbt or Airflow, Python/R for analysis, or knowledge of A/B testing and marketing attribution.

🌟 Why This Role?

Greenfield opportunity - shape the tools, structure, and standards from day one.
High-impact - your work will directly influence strategic decisions.
Visibility - work closely with technical and commercial leadership.
Growth - as the team expands, your role and influence will grow too.
Purpose - help a mission-led business make smarter, more sustainable choices through better data.💬 The Hiring Process

Intro Call - A short chat with me to make sure it's the right fit for both sides.
Technical Interview - Meet the Lead Data Engineer to talk through the stack and your experience.
Final Interview - Speak with the senior leadership team to align on vision and impact.
Offer & Onboarding - We'll get everything lined up to make your start smooth and successful.📩 Interested or have questions? Contact Sam Stocks at (url removed) or call (phone number removed).

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

How to Write a Winning Cover Letter for Data Science Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for data science jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data science sector. When applying for a data science job, your cover letter is an essential part of your application. The data science field is highly competitive, with many candidates vying for the same roles. Your cover letter allows you to showcase your technical expertise, analytical skills, and your ability to apply data to solve real-world problems. It’s the perfect opportunity to demonstrate your passion for data and your understanding of how it can drive meaningful insights for an organisation. Whether you're new to data science, making a career switch, or looking to advance your skills, this article will guide you through a proven four-paragraph structure to craft a compelling cover letter. We’ll provide sample lines and tips to help you stand out in the highly competitive data science job market.

How to Write a Winning Cover Letter for Data Engineering Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for data engineering jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data engineering sector. When applying for a data engineering job, your cover letter is a vital component of your application. The data engineering field is critical for organisations that rely on big data to make informed decisions, and a well-crafted cover letter will allow you to demonstrate your expertise in data management, data architecture, and data pipeline construction. Writing a cover letter for a data engineering role can seem challenging, but with the right structure, it becomes much easier to highlight your strengths. Whether you're just entering the field, transitioning from another role, or seeking to advance your career in data engineering, this article will walk you through a proven four-paragraph structure. We’ll provide sample lines and practical tips to help you create a cover letter that stands out from the competition in the data engineering job market.

Veterans in Data Engineering: A Military‑to‑Civilian Pathway into Data Careers

Introduction Every modern mission—whether directing humanitarian aid, mapping enemy positions, or forecasting equipment failures—runs on data. The same is true for British business. The UK Big Data & Analytics market is forecast to hit £36 billion by 2026 (IDC), and Gartner reports that data engineering vacancies grew 38 % in 2024, outpacing data‑science demand for the first time. Organisations urgently need professionals who can collect, clean, and pipeline petabytes of information—exactly the logistical, analytical, and security‑minded tasks veterans perform in theatre. If you’ve routed tactical sensor feeds, managed supply‑chain databases, or written Python scripts to crunch signal logs, you already think like a data engineer. This guide maps military skills to civilian data‑engineering roles, spotlights Ministry of Defence (MoD) transition funding, and shows you how to secure a rewarding second career building the pipelines that power AI and business intelligence. Quick Win: Browse our live listings for Data Pipeline Engineer roles to see which employers are hiring this week.