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Entry Level Data Analyst

Farringdon
6 months ago
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Data Engineer

Data Engineer

Are you passionate about data and ready to turn numbers into insights? Our client, a major name in IT and technology, is looking for an Entry Level Data Analyst to join their growing analytics team.

Key Responsibilities:

  • Collect, clean, and analyze data to support business decisions

  • Work on dashboards, visualizations, and reports

  • Identify trends and inconsistencies in datasets

  • Support automation and data processing initiatives

  • Translate business needs into data-driven insights

    Ideal Candidate:

  • Degree in Data Science, Mathematics, Statistics, or related field

  • Strong Excel and basic SQL skills (knowledge of Tableau or Power BI is a plus)

  • Detail-oriented with an analytical mindset

  • Excellent communicator, especially with non-technical teams

  • Curious, motivated, and eager to grow

    What You’ll Get:

  • Real-world project experience

  • Inclusive and collaborative work culture

  • Excellent growth opportunities and benefits

    Ready to build your career in data? Apply today

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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.