Analytics Data Engineer

McCabe & Barton
Edinburgh
6 days ago
Applications closed

Related Jobs

View all jobs

Analytics Data Engineer

Senior Analytics Data Engineer

Data Engineering Lead

Data Engineer

Principal Data Engineer

Principal Data Engineer

Analytics Data Engineer

Location: Birmingham (Hybrid/Remote options available)

Salary: £40,000 - £75,000 (depending on experience)

The Opportunity

Join a forward-thinking Financial Services leader driving a groundbreaking Data Modernisation programme. We’re seeking talented Analytics Data Engineers to shape the future of data-driven decision-making in a fast-paced, innovative environment. This permanent role offers a competitive salary, flexible working, and the chance to work with cutting-edge cloud technologies to deliver impactful data solutions.


As an Analytics Data Engineer, you’ll design and build robust, scalable data pipelines and analytics platforms that empower business teams to unlock insights through self-service tools. You’ll work with modern cloud-native tools like Snowflake, Databricks, Python, and advanced visualisation platforms to create solutions that drive measurable business outcomes.


Key Responsibilities

  • Develop Scalable Data Pipelines: Design and implement ETL/ELT workflows using Python, SQL, and cloud-native tools to support analytics and reporting needs.
  • Enable Business Insights: Build intuitive, optimised data models for platforms like Power BI, Tableau, or Looker to enable self-service analytics for non-technical users.
  • Ensure Data Excellence: Implement robust data governance, quality, and security practices within a decentralised Data Mesh framework.
  • Collaborate Across Teams: Partner with data scientists, analysts, and business stakeholders to translate requirements into high-performance data products.
  • Drive Continuous Improvement: Proactively identify opportunities to optimise data workflows, adopt emerging technologies, and enhance analytics capabilities.


Requirements:


  • Technical Proficiency: Hands-on experience building ETL/ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker).
  • Cloud Expertise: Familiarity with cloud platforms like Snowflake, Databricks, or AWS/GCP/Azure for scalable data solutions.
  • Data Modelling Mastery: Strong understanding of dimensional and relational modelling techniques for analytics use cases.
  • Stakeholder Engagement: Excellent communication skills to work with cross-functional teams and present solutions to technical and non-technical audiences.
  • Innovative Mindset: A proactive approach to exploring new tools, staying ahead of industry trends, and driving best practices in data engineering.


Why Join our client?

  • Work with cutting-edge technologies in a collaborative, innovative culture.
  • Flexible hybrid/remote working options to suit your lifestyle.
  • Opportunities for professional growth and impact in a high-visibility Data Transformation programme.


If you’re excited to shape the future of data in Financial Services, apply with your latest CV to join our mission!

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.

Careers Education

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.