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

Apply Now

SQL Warehouse Developer (Data Engineer)

Irwin Mitchell
Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

Senior SQL & SSIS Data Engineer (Data warehouse)

Fabric Data Engineer

Data Scientist

Senior Data Engineer

Forward Deployed Data Scientist

Forward Deployed Data Scientist

Your Role

The SQL Warehouse Developer is responsible for the design, development, and maintenance of data warehouse solutions for Irwin Mitchell. They understand requirements, create technical designs, configure applications, write code, and conduct testing. They collaborate with various teams, participate in meetings, and provide technical advice to address concerns. They troubleshoot and resolve technical issues, debug code, investigate failures, support end-users and the maintenance of the solutions. They document the data warehouse development process, including technical specifications. Collaboration with other engineers, testers, and project managers is crucial for successful delivery. They ensure quality and reliability by conducting thorough testing, performing code reviews, and implementing best practices in data warehouse development.

The SQL Warehouse Developer role is a key part in accelerating data value creation at IM and unlocking data’s potential, enabling improved data driven decisions and advanced analytics. This role will ensure IM’s data is optimised to support the needs of colleagues and Clients.

This role will contribute creating an aspirational data culture and underpins a critical pillar of the IM data estate.

What You'll Be Doing 

Designing, developing, optimizing, and maintaining ETL processes and data warehouse solutions using SQL and SSIS (SQL Server Integration Services). Collaborating with cross-functional teams to understand complex data requirements and translating them into efficient data models and ETL processes. Implementing data integration and transformation workflows to extract, clean, and load data from various sources into an on-premise SQL Datawarehouse. Monitoring, updating and optimising existing ETL processes, understanding and documenting current solutions. Mentoring and providing technical guidance to junior developers, ensuring adherence to best practices and driving continuous improvement. Collaborating closely with BI developers and analysts to understand their requirements and providing data warehousing support for their projects. Monitoring and troubleshooting ETL processes, ensuring data integrity, availability, and security.

About You Proven experience as a SQL Developer or Data Engineer, with experience of SQL, SSIS and Data Warehousing. Expertise in T-SQL / SQL server for data warehousing tasks, including data extraction, transformation, and loading. Experience with BI development tools (i.e. Tableau, Power BI and Crystal Reports) to enable understanding and support of existing BI solutions. In-depth understanding of data modelling, ETL development, and data integration techniques. Experience of Agile working practices Strong documentation skills, experience of using Git and Azure DevOps repositories for version control. SQL server security experience Experience of working within a Professional services firm Our Benefits - What We Can Offer You 25 days holidays as standard plus bank holidays - You can ‘buy’ up to 35hrs of extra holiday too. Generous and flexible pension schemes. Volunteering days – Two days of volunteering every year for a cause of your choice (fully paid) Westfield Health membership, offering refunds on medical services alongside our Aviva Digital GP services.

We also offer a wide range of well-being initiatives to encourage positive mental health both in and out of the workplace and to make sure you’re fully supported. This includes our Flexible by Choice programme which gives our colleagues more choice over a hybrid way of working subject to role, team and client requirements.

We have been ranked in the Best Workplaces for Wellbeing for Large Organisations for 2024!

Our responsible business programmes are fundamental to who we are and our purpose. We’re committed to being a diverse and inclusive workplace where our colleagues can flourish, and we have established a number of inclusion network groups across our business to support this aim. 

Our commitment to Social Responsibility, community investment activity and tackling climate change is a fundamental part of who we are. It’s made up of four strands: Our People, Our Community, Our Environment and Our Pro Bono.

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.