Senior Software Engineer

EMIS
Birmingham
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer & Data Engineer (Java/Python)

Senior Software & Data Engineer (Java/Python)

Senior Data Engineer - Remote, Scalable Data Pipelines

Senior Platform Engineer — AI-Driven Data Analytics

Senior Platform Engineer — AI-Driven Data Analytics

Senior Real-Time Market Data Engineer

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.

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.

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.

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.