Java / Spark Developer (Belfast)

FPSG
Belfast
4 weeks ago
Create job alert

Java DeveloperPermanent - Belfast CityHybrid 60/40FPSG's client is a rapidly growing Global Technology Consultancy. They have a reputation of making a difference, spinning up bespoke teams, with autonomy and creativity, embedded in market leading organisation. This particular squad environment needs strong software engineer with excellent bigdata awareness. Skills required - core Java, Apache Spark, strong database skills and the ability to adapt to improve.To progress in this role candidates must be able to demonstrate their abilities through participating in several major projects, delivering on complex Core Java development with Spark where Big Data / enterprise data sets are involved.Role ResponsibilitiesThis role will appeal to software engineering enthusiasts that are committed to all areas of the development cycle. As the projects are a mix of Brown and Green Field, candidates must have the ability to flex across tool choice, design patterns etc. All engineers will have an opportunity to contribute to continuous improvement through a collaborative agile development approach.The post is not prescriptive, and all development will follow an iterative fashion and engagement with various stakeholders; Business Analysts, Product Owners, Users etc.Person SpecificationStrong Core Java concepts / Java server-side developmentDemonstrable experience in Spring, Spring Boot and HibernateFamiliarity with Big Data conceptsA demonstrable working knowledge of Apache Spark is required for this post.Familiar with CI / CD, Agile, SCRUM environmentsAdvanced SQL/MySQL database knowledgeFamiliarity with processing Frameworks and tools Apache Spark, Hadoop, Apache Hive, KafkaA practical working knowledge of large-scale Finance or FS Risk Technology **NB - Please note the working pattern is circa 3 days a week in Belfast City Centre, therefore candidates will be expected to live in a direct commutable distance. Candidates who are open to relocation may be considered but relocation support is not available.**NB - The availability of Visa sponsorship is restricted, candidate outside of the country cannot be considered at this time.RewardIn return our client offer upper quartile salaries and an extensive benefits package. They have a track record of committing to the personal, technical and career development of all staff. They have a reputation for working with the best technologists and enhancing existing technical skills offering genuine career progression.Next StepsPlease submit suitably qualified CV's in the first instanceTechnical ReferencesJava Development, Java Software Engineer, Java, JEE, J2EE, SQL, SQL Server, MySQL, Sybase, Linux, multithreading, concurrency, low-latency, CI, Continuous Improvement, Object Orientated Analysis, Object Orientated Design, Object Orientated Programming, Big Data, Spark, Apache Spark, Hadoop, Apache Hive, Kafka, BigData, Spring, Spring Boot, HibernateWe are Disability Confident and neurodiverse aware. If you have a disability, please tell us if there are any reasonable adjustments we can make to assist you in your application or with your recruitment process

Related Jobs

View all jobs

Java / Spark Developer (Belfast)

Lead Java Developer

Big Data developer Dublin contract Dublin

Java Engineering Lead, Vice President (Basé à London)

Big data/ETL /SQL Data Engineer Dublin contract

Junior Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.