x4 Data Engineers – Fully Remote Opportunity with aGame-Changing HealthTech Startup - Azure, Python, SQL -Remote

Areti Group | B Corp

Bristol

11 months ago

Applications closed

Related Jobs

View all jobs

Associate Data Engineer (Bordereaux)

Data Analyst - Certification schemes

AWS Data Engineer

Senior Data Engineer

Data Analyst - Insurance

Data Analyst

x4 Data Engineers – Fully Remote Opportunity with aGame-Changing HealthTech Startup! Bristol, England, United Kingdom(Remote) Areti Group is thrilled to partner with a HealthTechpowerhouse that’s transforming health and social care across theUK! With strategic hubs in Bristol, Dorset, Southampton, andSomerset, this is your chance to be part of an innovative,high-impact team reshaping the industry.This fully remote roleoffers incredible flexibility, with all travel expenses covered foroccasional on-site visits. We’re seeking 4 exceptional DataEngineers to join on a permanent basis and play a key role in adigital transformation driving real change. Role Overview RequiredExperience: Proven experience as a Data Engineer. Strong cloudexperience in Azure. Proficiency in SQL with knowledge of datamodelling concepts. Solid understanding of cloud computingprinciples and Azure services. Python skills. A bubbly personalityand energy to learn and grow within the role. What We Offer You:Flexible, Fully Remote Working – Monthly on-site visits covered,including travel, food, and accommodation expenses. CompetitiveSalary – Up to £70k based on experience. Generous Leave – 25 dayspaid leave + public holidays. Comprehensive Benefits: PrivateMedical Insurance Group Life Assurance ️ Dental & OpticalCoverage Enhanced Maternity Leave Financial Security – PensionContributions. Employee Assistance Programme. Birthday Day OffContinuous Learning & Development Opportunities – Because yourgrowth matters. Why Join Us?Ready to make an impact in HealthTech?Join a forward-thinking company that values innovation, teamwork,and excellence. Here’s your opportunity to be part of somethingextraordinary while contributing to a company that puts people andthe planet first. APPLY NOW to join this life-changing journey!Don’t miss out on this unreal opportunity to make a difference.Areti Group – Climate Positive Tech Recruitment We’re on a missionto leave the world better than we found it.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Careers Jobs

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

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jan 13, 2026

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Jan 6, 2026

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.