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

Apply Now

Senior Big Data Developer

Adecco
Belfast
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Senior SQL & SSIS Data Engineer (Data warehouse)

Senior Data Engineer

Job Opportunity: Big Data Developer Contract (6 months initially) Daily Rate: £600 (inside IR35 via umbrella) Hybrid Working: 3 days in Belfast. Enjoy the flexibility of working remotely and in the office.Our client is seeking a detail-oriented and highly motivated Big Data Platform Development Engineer to join their team. As a vital member, you'll onboard users and clients, set up build pipelines, review code and queries, and optimise jobs. With a strong technical background in Big Data technologies like Hadoop, Spark, and Hive, you'll tackle complex systems with ease. Exceptional communication and organisational skills are essential as you collaborate with internal and external stakeholders. Key Responsibilities:✅ Onboard users and clients to the Olympus Big Data platform.✅ Collaborate across teams to prioritise data requirements and enhance performance.✅ Automate build and deployment processes using efficient pipelines.✅ Conduct code reviews and optimise queries for enhanced performance.✅ Guide teams to follow optimal industry practises.✅ Design and develop scalable, fault-tolerant big data solutions on Cloudera.✅ Monitor and optimise the risk data platform for efficiency. Qualifications:✅ Bachelor's or master's degree in Computer Science or a related field.✅ At least 5 years of experience in big data technologies, including 3 years in Apache Spark and Cloudera.✅ Strong knowledge of Hadoop, Hive, HBase, Kafka, and YARN.✅ Excellent programming skills in Python and/or Scala.✅ Analytical, problem-solving, and communication skills.This role offers you a chance to contribute to our client's vision of improving decision-making, revenue growth, and regulatory accuracy. You'll partner with exceptional individuals across business and technology, gaining exposure to front-to-back trade processing and electronic trading in various asset classes. Your contribution will make a significant impact on the business. Join our client's dynamic team and drive innovation in the world of big data! Apply now with your updated CV. #BigDataDeveloper #TechJobs #DataAnalyticsAdecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.