National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer (Power Apps)

Ocho
Newry
2 weeks ago
Create job alert

Job Title: Senior Data Engineer Location: Newry (Hybrid working) Salary: Up to £65,000 depending on experience Type: Full-time, Permanent Overview: We're working with a forward-thinking team based in Newry undergoing a major data transformation journey. They're seeking a Senior Data Engineer with strong Power BI and Power Apps experience to help shape their future analytics capability. This is a highly progressive role with opportunities to work on modern data architecture projects, including the adoption of Microsoft Fabric. Key Responsibilities: Design and develop robust data pipelines and ETL processes. Deliver end-to-end Power BI reporting solutions. Leverage Power Apps to build and automate business processes. Support the transition towards Microsoft Fabric and contribute to future data platform strategies. Collaborate with analysts, developers, and stakeholders to ensure data is accessible, reliable, and valuable. Provide technical leadership and mentoring to junior team members. Requirements: Proven experience as a Data Engineer working with Microsoft technologies. Strong Power BI and Power Apps skills. Good understanding of data modelling, DAX, and M query. Comfortable working with SQL, Azure Data Services, and cloud-based data storage. Previous experience contributing to a data platform strategy is a plus. What's on offer: A genuinely forward-thinking tech team. Significant career development potential with support for training and certification. Work/life balance with flexible working options. 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

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Data Engineer - Winchester

Senior Data Engineer - Cloud

Senior Data Engineer Consultant

Senior Data Engineer - Clayton-le-Moors

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.