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

Apply Now

Data Engineer/Data Analyst

Talent Finder Jobs
Cheltenham
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientists

Data Scientists

Data Scientists

Data Scientists

Data Scientists

Forward Deployed Data Scientist

Data Engineer/Data Analyst | Cheltenham | Hybrid Working Available | Full Time | £25,000-£40,000Dependent on Experience


Are you a talented professional with a passion for both Data Engineering and Data Analysis?

Acquirz is seeking a versatile individual to join our innovative team. This hybrid role is your chance to manage and optimise data systems while extracting actionable insights that drive strategic decision-making.

At Acquirz, we use cutting-edge email marketing techniques to generate leads and build demand for some of the UK’s largest enterprises and national brands. We’re more than just market leaders; we’re a team that values collaboration, innovation, and a fun, balanced work culture.


Are you the right person for the job?

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Experience in both Data Engineering and Analysis roles
  • Proficiency in SQL, Python, and data visualisation tools
  • Familiarity with cloud platforms is a plus
  • Strong analytical and problem-solving skills
  • Excellent communication to bridge technical and non-technical teams
  • Proactive mindset and ability to manage multiple priorities


What will your role look like?

Data Engineering Responsibilities

  • Oversee data collection, storage, and integration across platforms
  • Optimise and automate data systems and pipelines for maximum efficiency
  • Ensure data integrity, security, and compliance with regulations
  • Work with programming languages like Python and SQL and cloud platforms such as AWS, Azure, or Google Cloud

Data Analysis Responsibilities

  • Extract trends and insights from large datasets to support business strategies
  • Create dashboards and visualisations using Tableau, Power BI, or QlikView
  • Present actionable findings to stakeholders to inform key decisions


What can you expect in return?

  • A chance to make an impact on diverse projects in a fast-growing industry
  • Opportunities for professional growth and career advancement
  • A competitive salary and comprehensive benefits package
  • Free onsite parking
  • Hybrid working options
  • Annual Company Performance Bonus - £10,000
  • Pension scheme & medical cover
  • Training, development, & progression opportunities
  • Equity opportunities for long-term employees
  • Company laptop provided


Due to high application volumes, if you have not heard from us within five working days, please assume your application was unsuccessful at this time.


What’s next? It’s easy! Click “APPLY” now! We can’t wait to hear from you!

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.