Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Jr Data Engineer

Manchester
4 months ago
Applications closed

Our client is a dynamic and ambitious insurance company based in the heart of Manchester, and they're on the lookout for a talented Junior Data Engineer to help them drive data-led decisions as they scale. If you're passionate about transforming raw data into actionable insights and thrive in a collaborative, small-team environment - they'd love to meet you.
5 days on site | £30,000 per year
What You'll Be Doing

  • Assist our Data Engineer in developing Python scripts to extract, transform, and validate data against our MySQL database.
  • Upload and structure data for our platform to support efficient reporting and analysis.
  • Collaborate with stakeholders and our BI Analyst to understand data requirements and deliver actionable insights.
  • Participate in code reviews and contribute to continuous improvement of data engineering practices.
  • Document code functionality, workflows, and changes clearly and consistently.
  • Follow agile development principles and contribute to sprint planning and tracking.
  • Participate in planning, designing and developing our future migration of automated ETL processing of our data on a chosen cloud platform.
    What We're Looking For
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Strong grasp of Python fundamentals including:
    • Functional programming
    • Object-oriented programming (OOP)
    • Data types and structures
    • Unit testing using pytest
  • Proficiency in SQL (we use MySQL, but experience with other SQL platforms is welcome).
  • Experience with data manipulation and transformation using Pandas.
  • Familiarity with ETL/ELT processes and data warehousing concepts.
  • Understanding of cloud platforms (AWS or Azure).
  • Basic knowledge of Git and GitHub for version control and collaboration.
  • Awareness of best practices for managing credentials and sensitive data (e.g., using .gitignore).
  • Experience managing Python virtual environments and packages.
  • Strong problem-solving skills, adaptability, and eagerness to learn.
    If you're interested, please apply below!
    INDMANJ
    49567NB

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.

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.