Senior Data Engineer

Ocho
Belfast
3 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer Hybrid Belfast based (2-3 days onsite) Up to £60,000 salary We are working with a major global consultancy with a long established Belfast data practice. The team delivers large scale data engineering, analytics and automation solutions for high profile clients across multiple sectors. They are now expanding and seeking a Senior Data Engineer who enjoys working across modern cloud data platforms, SQL development, automation and analytics enablement. This role suits someone who is proactive, technically curious and comfortable working across both data engineering and analytical workflows. Youll have the opportunity to design and build ETL pipelines, shape cloud based data solutions, collaborate with architects and analysts, and help clients get meaningful value from their data. Key responsibilities Design, build and maintain ETL pipelines across Azure cloud environments. Develop scalable data models and SQL based solutions for reporting and analytics. Use Azure Data Factory, Data Lake and related services to support data flows. Build automation using tools such as Power Automate and Power Apps. Support dashboarding and BI needs through Power BI. Contribute to data quality, documentation and best practices. Work closely with clients, analysts and architects on solution design. Required experience Strong SQL development and data modelling skills. Hands on experience with Azure (ADF, Data Lake, Databricks or similar). Experience with ETL/ELT pipelines and cloud native data workflows. Good understanding of Power BI and analytics enablement. Exposure to Power Apps or Power Automate is beneficial. Some experience with Python for scripting or data pipelines. Clear communicator with a proactive, learning focused mindset. Why this role Well established, high calibre data team with strong delivery reputation. Hybrid working with modern office space in Belfast. Exposure to major clients and varied projects. Strong emphasis on learning, certifications and progression. Salary up to £60k with excellent long term career opportunities. Apply here or reach out to Aaron Somers at Ocho for more information via LinkedIn. Skills: data engineering data business intelligence Benefits: Work From Home bonus pension healthcare options

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 Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.