Senior Data Engineer

Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering & DataOps Leader – Azure

Senior Data Science Engineer

Senior Data Science Engineer

Senior AI/Generative Data Engineer: LLMs, MLOps, Cloud

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer - Greater Manchester

An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams.

As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers.

Key Responsibilities:

Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure).

Source and verify data from multiple sources, ensuring it is ready for ingestion.

Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies.

Analyse large datasets using Python and SQL.

Set up new pipelines for data streaming, enrichment, and curation.

Manage and maintain source code repositories (GitHub).

Investigate and apply AI/ML solutions to enhance cloud capabilities.

Key Skills & Experience:

Strong proficiency in SQL and Python.

Experience in cloud data solutions (AWS, GCP, or Azure).

Experience in AI/ML.

Experience with PySpark or equivalent.

Strong problem-solving and analytical skills.

Excellent attention to detail.

Ability to manage stakeholder relationships effectively.

Strong communication skills and a collaborative approach.

Why Join Us?

Work with cutting-edge technologies in cloud data engineering and AI/ML.

Opportunity for career growth and professional development.

Be part of an innovative and forward-thinking data team.

If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you.

Interested? Please Click Apply Now!

Senior Data Engineer - Greater Manchester

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.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 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.