9 of 9 Permanent Data Munging Jobs in the UK excluding London

Join a global investment bank's Equities Trading team in Belfast for a 12-month contract as a contract data analyst and play a pivotal role in transforming raw data into strategic business assets! In this job you will work with Q/KDB+, Python, Tableau and advanced SQL in a fast-paced, data … remediation, uncover revenue opportunities, and deliver analytics that shape business strategy. Cutting-edge tech: Work with Q/KDB+, Python, Tableau, and advanced SQL in a fast-paced, data-rich environment. Hybrid flexibility: Enjoy a mix of on-site collaboration and remote work. Competitive day rate: Attractive compensation for top-tier talent. What You'll Do Develop and … maintain Q/KDB+ queries and scripts for data analysis and reporting. Build and support Python-based tools for data manipulation and automation. Design and manage interactive Tableau dashboards for business insights. Write and optimise complex SQL queries (preferably with Impala) against large-scale data warehouses. Collaborate with business stakeholders to deliver effective BI More ❯

Senior Data Engineer (AWS ETL SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads … they have seen huge interest in the product and have a lot of greenfield development work to get stuck into. As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions … for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in More ❯

Senior Data Engineer (AWS ETL SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads … they have seen huge interest in the product and have a lot of greenfield development work to get stuck into. As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions … for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in More ❯

Senior Data Engineer (AWS ETL SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads … they have seen huge interest in the product and have a lot of greenfield development work to get stuck into. As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions … for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in More ❯

Senior Data Engineer (AWS ETL SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads … they have seen huge interest in the product and have a lot of greenfield development work to get stuck into. As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions … for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in More ❯

of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate … with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science … Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and More ❯

of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate … with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science … Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and More ❯

of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate … with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science … Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and More ❯

digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've … and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders, to understand complex business challenges and identify opportunities where AI can deliver measurable impact. You will lead the end-to-end lifecycle of … AI initiatives - from problem framing and data exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex More ❯