Senior Software Engineer

EMIS
Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

C# Software Engineer/Quantitative Developer (Junior and Senior) - Global Hedge Fund - C# & Python: £80-150k

C# Software Engineer/Quantitative Developer (Junior and Senior) - Global Hedge Fund - C# & Python: £80-150k

Senior Data Engineer

Senior Data Engineer

Senior Bioinformatics Data Engineer

Software Engineer (1-2 years+) - Python or C++: Quantitative Fund

The VacancyAre you a Software Development Engineerlooking to join an organisation where what you do genuinely makesan impact? Where you are empowered, heard and able to thinkcreatively? Then look no further because we are what you have beenlooking for! We are looking for a Senior Software Engineer to comeand join our talented and innovative team. This role sits withinour EMIS X Analytics team. They have built a data platform to helpthe NHS manage one of the richest healthcare datasets in the world.The platform is used by our partners today to unlock the potentialof healthcare data. Whether its supporting cutting edge research orclinical models identifying risk of disease, working for EMISprovides an opportunity to develop innovative solutions to helptransform healthcare in the UK. What you’ll doWe believe in thepower of technology to make healthcare faster, better, and moreaccessible to all, and therefore you will play a key part insupporting us to deliver the best products within the healthtechindustry.As an engineer at EMIS Health you’ll play a pivotal rolein building a world class data platform that is transforming thehealth and lives of those around us. Other key responsibilities andaccountabilities will include;You will be involved in all aspectsof the development lifecycle including architecture, testing, aswell as cutting code.You’ll get to work with data at scaleutilising cloud services and technologiesCollaborate and mentorwith other engineers on best practices for data/cloudengineeringHelping to implement fast, secure, and efficient datapipelines and storage.Ensuring long-term scalability andmaintainability of the Platform. Who you’ll beYou will haveexperience working as a Software/Data Engineer where you producedhigh quality code. With experience using some of the following,AWS, Python, SQL, Databricks, Trino, Airflow, Terraform and Docker.We want you to be able to take ownership and accountability forwhat you are doing and be comfortable working with autonomy andusing your initiative. Here, we are advocates for promoting theability to think freely and creatively. We want you to have acurious nature, looking at improvements and efficiencies Other keyskills we are looking for you to demonstrate include; SoftwareEngineering – Python or JavaUnderstanding of software architectureDatabases and Big Data technologies Understanding of cloudinfrastructure – Ideally AWS but others will be consideredTheability to embrace complex problems If this sounds like you, thenapply today and find out more why EMIS Group Plc is a great placeto be! Equality, Diversity, and Inclusion At EMIS, we are committedto providing an inclusive, equitable culture where people feel ableto bring their whole selves to work and to reach their fullpotential. This is a foundation stone of EMIS, anchoring theemployee cycle from recruitment through to ongoing personaldevelopment and genuine, continuous two-way employee engagement,supported by our company values which determine everything we do.EMIS is an equal opportunities employer, and we welcomeapplications from all suitably qualified candidates regardless ofrace, colour, religion, sex, sexual orientation, gender identity orexpression, national or ethnic origin, age, disability, protectedveteran status, or other characteristics protected by applicablelaw. We will always work to accommodate individual needs duringyour application journey. If you require any adjustments, pleaseadvise the talent team.

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.