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

Apply Now

Data Engineering Lead

Understanding Recruitment NFP
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Lead – Elite HFT Firm - Trading Systems - WFH - London - Up to £600k TC

Data Engineering Lead — Azure & Databricks (Remote)

Data Engineering Lead - Azure & Databricks | Remote

Data Engineering Lead

Remote Data Engineering Lead - Azure & Databricks

Remote Data Engineering Lead - Azure & Databricks

Data Engineering Lead

📍 Hybrid – 1–2 days per week in Old Street, London | 💰 £60,000–£70,000 per annum | 📅 18-month FTC (potential to go permanent)


We’re working with Better Society Capital, the UK’s leading impact investor, to help them find their first-ever Data Engineering Lead. This is a rare opportunity to build something from the ground up, shaping how data is managed, integrated, and used to drive meaningful social change.


In this hands-on, strategic role, you’ll design and develop modern data pipelines using SQL, Python, and Azure/Fabric, while also guiding the wider organisation through their data transformation journey. You’ll be the link between technology and the business, understanding needs, building solutions, and championing data-driven decision-making across teams.


They’re looking for a self-starter who can bring both technical expertise and strong stakeholder skills, someone who’s confident leading conversations, defining standards, and making data accessible to everyone. You’ll play a central role in embedding a culture of data excellence within a purpose-led organisation.


🔑 Key skills

  • Strong experience with SQL for data engineering and transformation
  • Proficiency in Python for automating and optimising data processes
  • Solid understanding of the Microsoft data stack (Azure / Fabric / Power BI)
  • Excellent stakeholder engagement and business analysis capability


Contract: 18-month fixed-term contract (potential to become permanent)

Salary: £60,000 – £70,000 per annum

Location: Hybrid – 1–2 days per week in Old Street, London

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.