Data Engineer

Fieldfisher
Belfast
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

The Vacancy Background We have a small data estate based on the Microsoft technology stack. We are looking to migrate the estate from on premise SQL Servers and SSIS to Azure SQL, Microsoft Fabric and Power BI. To build and support these new platforms, we are expanding our Data Engineering team. The data engineering team is led by the Senior Data Engineer and reports to the IT Development Manager. Role and Responsibilities On-Premise SQL Servers Build, patch and troubleshoot Microsoft SQL Servers Create and tune Microsoft SQL Databases Create and troubleshoot Always on Availability Groups Build, patch and troubleshoot Windows Server Virtual machines. Maintain SQL native and 3rd party Backups Create and troubleshoot SQL Server maintenance plans Quarterly testing of Database Restore and Disaster Recovery procedures Azure SQL Cloud Deploy and troubleshoot Logical SQL Servers, Azure SQL Database and Elastic Pools Deploy and troubleshoot Azure SQL Managed Instances Build and Maintain Azure Data Factory (ADF) pipelines Performance monitoring and tuning for all pipelines and client applications Optimise and troubleshoot complex T-SQL queries Essential Skills Ideally you will have passed: DP-300 (Microsoft Certified: Azure Database Administrator Associate) Or at least have 1 year of experience working with all of the following technologies: Microsoft SQL Server Windows Server Virtual Machines Microsoft Azure SQL Database and Elastic Pools Microsoft Azure SQL Managed Instance Azure Data Factory Programming Languages ( T-SQL ) Desirable Skills Enthusiasm for learning and self-study Proficient in creating process documentation and sharing knowledge Comfortable speaking with people from all teams ( IT, Finance, Legal, Marketing, Directors ) Experience working in a law firm or with legal / financial teams Who are we looking for? We don't have a type. We believe our differences are our strength; varied cultures, approaches and experience can only benefit us. What do we offer? You can be yourself: It takes everyone to make us who we are. Were a culture of diverse perspectives, with each of us making unique contributions that make us better together. In the office or WFH?: We think the best balance is more time in the office than at home, so we operate a 60:40 rule. Beyond salary: We offer plenty of benefits; private medical insurance, health cash plan, dental insurance, life assurance, critical illness insurance, matched pension contributions up to 7%, holiday trading, plus many more. Visit: Reward & Benefits Fieldfisher . Modern Office Space: Located in the iconic Titanic Quarter with excellent commuter links and parking nearby. Nurturing your talent: Take a 'build a career' approach to your training. You'll be on a pathway but free to wander if you see something you'd like to study more closely. Funnel your interests: You have a life outside work, and we can help it to flourish. Join clubs, affinity networks, inclusive events, and pro bono/charity initiatives. Inclusion is not exclusive: If all our differences are highlighted, no one stands out for being different. At Fieldfisher, all our rich diversity is celebrated. We will provide the equipment to allow you to shine, at interview and beyond. Just let us know what you need. For accessibility information on our Belfast office, visit: Accessing Fieldfisher Belfast Hub Fieldfisher What to do next: Click 'Apply Now', complete an online application and upload a CV. Successful applications will be invited to a 2030-minute introductory call with a recruiter. Every role recruits differently. But we'll always let you know what to expect from the process, so you get no surprises. For hybrid opportunities, you'll be invited to visit our offices for a face-to-face meeting. We try to make sure the process takes around 2-3 weeks only, but we can't always promise that. We will work around everyone's availability. You can contact us at Anita.Mago . We recruit on a rolling basis. Your application may be reviewed before the application deadline. We accept applications until we have filled the role. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 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.