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

Nominate & Attend

Microsoft Data Engineer- Up to £75,000 - Manchester Hybrid

Oliver James
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer Expert/Manager

Microsoft Fabric Data Engineer

Azure Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer



Senior Microsoft Data Engineer - Manchester Hybrid- Up to £75,000



We're looking for an experienced Senior Data Engineer specifically working with Microsoft our client who are a leading engineering end to end risk management solutions business.

As the Senior Data engineer you will own the development and implementation of data and reporting solutions, integrations between applications and provide database administration working closely with our IT DevOps Team. You will do this using the latest Microsoft technologies: SQL Server Integration Services Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory and Power BI (both dashboards and paginated reports)



Core Responsibilities:



Taking responsibility for the successful completion of our daily data processing routines and schedules Lead with other key stakeholders the development of a fit for purpose architecture to deliver high availability, scalability, and optimal environments for performant data processing which supplies our reporting and applications to required quality and SLA's Working with the wider development team to ensure that performance is maximised and sustained while providing high availability, scalability, and optimum performance for database servers through the setup, upgrade, migration, and installation of appropriate hardware.

Key Skills / Qualifications needed for this role:

Having delivered a modern data platform using relevant technologies and services in Microsoft Azure.Expert in T-SQL including stored procedures, temp tables & CTE's with performance tuning.Proficient in the development of SQL Server Integration Services (SSIS) solutions and Azure Data FactoryDemonstrable experience in the use of GIT for CI/CD source control in azure across key areas of the stackProficient in developing and deploying Azure Analysis Services ModelsProficient in developing cascading, parameterized reports using SQL Server Reporting Services.Report development of datasets and reporting in Microsoft Power BIIdeally experience of using Data Bricks or Azure SynapseStrong understanding of data modelling conceptsExperience of interpreting and analysing complex dataKnowledge and a proven track record in data / data quality managementCode management & deployment toolsExperience of Microsoft Dynamics CRM

There's a true flexible working culture and leading benefits. (Great pension, bonus, flexible working, etc). Working pattern includes 1-2 days in the Office Based in Manchester.

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.