2030 IT & Software Developer jobs in the UK
Requirements
Must:
- Proven experience with SQL-based systems in a virtualized private cloud environment.
- Ability to build lightweight integrations and interfaces to move data from legacy systems to modern cloud data solutions.
- Hands-on experience with data visualization tools such as Power BI.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable data insights.
- Experience with large language models (LLMs) and machine learning (ML) is a plus, along with practical experience in deploying agentic workflows for automated, intelligent data processing and analysis.
- At least 2–3 years of real-world experience in a similar role, accompanied by a relevant university-level qualification.
Responsibilities
- Integrate legacy systems: Work with existing SQL-based backend systems (e.g., Redbook 10, Sage 200, Sage CRM) that are running on virtualized infrastructure in a private cloud. Design and implement lightweight coding solutions to integrate and transfer data from these legacy systems into cloud-based data lakes or warehouses.
- Develop cloud data solutions and visualization: Migrate and organize data within platforms like Microsoft Fabric. Develop and maintain Power BI dashboards to provide real-time insights and analytics, aiding the senior leadership team and other stakeholders in making informed decisions.
- Utilize technical and analytical expertise: Use coding and data analysis skills to streamline data flows and improve operational efficiency.
Description
We are thrilled to invite a talented and hands-on Data Scientist / Data Analyst to join our team. In this crucial role, you will play a significant part in modernizing how we handle and analyze our business data. You will serve as the bridge between our legacy on-premises systems and a modern cloud-based data architecture, enabling real-time, data-driven decision-making across the organization. Your expertise with large language models (LLMs) and machine learning (ML) will be central to enhancing the analytical capabilities we are building. You will also focus on deploying agentic workflows to automate and improve our decision-making processes.
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You can find Data Engineer salaries in the UK here.
How many Data Engineer jobs are in the UK?
Currently, there are 2030 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the UK a good place for Data Engineers?
The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the UK?
Together, Deep Sea Electronics Ltd, razorblue Careers, KubeNet, Hyve Managed Hosting, MastarRec, Mas & Pas Limited among others, are currently hiring for Data roles in the UK.
The company with most openings is Experis as they are hiring for 74 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is Experis as they are hiring for 74 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.