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

Apply Now

Big Data Engineer

Zone IT Solutions
Manchester
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Insurance - Remote

Senior Data Engineering Lead - Cloud Pipelines & Governance

Data Engineer (security cleared)

Senior Data Engineer – Cloud & Data Platform (Hybrid)

Azure/Databricks Data Engineer

Principal Data Engineer

We are seeking an IT consulting firm specializing in Big Data Engineers. Currently, we are in pursuit of a highly proficient Big Data Engineer.



  2. Strong experience with big data technologies such as Hadoop, Spark, and Kafka.
  3. Experience building and optimizing data pipelines, architectures, and data sets.
  4. Proficiency in programming languages such as Java, Scala, or Python.
  5. In-depth knowledge of distributed file systems (e.g., HDFS, S3) and NoSQL databases (e.g., Cassandra, MongoDB).
  6. Experience with data warehouse solutions and data modeling.
  7. Strong problem-solving skills and ability to work in an agile, collaborative environment.
  8. Excellent verbal and written communication skills.
  9. Bachelor's degree in Computer Science, Engineering, or a related field.
  10. Strong analytical and problem-solving skills.
  11. Experience with cloud platforms such as AWS or Azure is a plus.

About Us

We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at .


Also follow our LinkedIn page for new job opportunities and more.


Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.


#J-18808-Ljbffr

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 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.