▷ Urgent! Data Engineering manager

TRIA
Sheffield
11 months ago
Applications closed

Senior Data Engineering ManagerSnowflake | AWS/Azure |Data transformationUp to £110,000 + 20% Bonus + 10% PensionMiltonKeynes – Two/Three days a month on site.This Senior DataEngineering opportunity is to join a rapidly growing financialservices organisation, who are going through a large DataTransformation. Your role will report into the CDO and you willplay a pivotal role in transforming data for the business.You’llhelp lead a greenfield project to design, build, and implement arobust Snowflake data warehouse from the ground up. As both ahands-on and strategic leader, you’ll guide the data engineeringteam in architecting scalable solutions while driving bestpractices in data engineering, cloud migration, and data quality.Alongside hands-on engineering work, you will mentor a small team,contributing to their technical and professional development, whilealso helping shape the future of the data engineering practice andthe organization’s broader data strategy.For this role youwill:Lead the end-to-end migration of on-premises data systems toSnowflake, ensuring efficient and secure data transformation. Helpdevelop and implement a comprehensive Data Engineering strategythat aligns with business objectives and enhances dataaccessibility, quality, and governance.Serve as a technical lead inboth architecture and development, providing guidance on bestpractices in Snowflake schema design, data pipeline development,and integration.Have advanced skills in SQL and Python, with theability to build and optimize complex data pipelines and managelarge datasets.Domain Experience – Insurance/financial services.However, we will consider applications outside of these industriesYou will receive: Salary up to £110,000 Extremely competitivebenefits package that includes up to 20% bonus, private medical,10% pensionHybrid working – 2/3 days in the office a month. If youare interested and would like to find out more, pleaseapply!

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 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.

Jobs

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.

Jobs

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.

🍪 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.