6 of 6 Remote Data Cleansing Jobs in the North of England

Head of Data Engineering - Preston A Head of Data Engineering/Data Engineering Manager to lead the design, development, and enhancement of the data infrastructure and pipelines is required by a leading company based in Preston. The role offers Hybrid working, so 2 - 3 days in the office … a week. You must have the following: Proven experience as a lead data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL … oversee ETL pipeline development and optimisation, establish and manage data schemas and dictionaries, develop data integration solutions, and lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and software engineers to turn your business needs into solid data engineering solutions. You'll also More ❯

Lead Data Engineer - Preston A Lead Data Engineer to lead the design, development, and enhancement of the data infrastructure and pipelines is required by a leading company based in Preston. The role offers Hybrid working, so 2 - 3 days in the office a week. You must have the following: Proven experience … as a Senior or Lead data engineer Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in … solutions, oversee ETL pipeline development and optimisation, establish and manage data schemes and dictionaries, develop data integration solutions, lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and software engineers to turn the business needs into solid data engineering solutions. You'll be More ❯

algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data … actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization. Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and … contribute to the development of novel solutions to solve complex business problems. Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team. Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure More ❯

Senior Data Analyst Location: Hybrid (2/3 day per week in our Heald Green office) Salary: Up to £65,000 depending on experience About My Claim Group My Claim Group is a fast-growing UK-based company helping customers navigate complex financial and insurance claims. Our success is built on trust, innovation, and data … driven decision-making - and now we're looking to expand our analytics team to support smarter, faster business outcomes. We're on the lookout for a talented Senior Data Analyst with strong SQL skills and exposure to Snowflake. This is a fantastic opportunity to join a growing team, create meaningful insights, and influence decisions across the business. … The Role As a Senior Data Analyst, you'll be responsible for designing and delivering clear, insightful dashboards and data models that help teams across the organisation understand performance and uncover opportunities. You'll work closely with stakeholders to gather requirements, write and optimise SQL queries, and deliver visualisations that drive real-world action. More ❯

outsourced utilities management company to a fully owned, technology-powered, and profit-enabling utilities set up within the organisation. The project's goal is to deliver cost control, data mastery, operational efficiency, and scalability across electricity, gas, water, and renewables. The current phase focuses on implementing a new Target Operating Model (TOM) and deploying the EnergyCAP application … enabling automation, integration, and robust reporting. This transition is expected to unlock significant operational savings, improve data quality, and establish a scalable platform for future growth. Utilities Project Manager Duties Project Leadership: Lead the end-to-end delivery of the utilities TOM and EnergyCAP application implementation, ensuring seamless transition from the current outsourced provider with minimal disruption … new processes, drive adoption of new systems, and support change management activities to ensure smooth operational transition. Data Migration & Quality: Oversee data extraction, cleansing, migration, and validation from legacy systems to EnergyCAP, ensuring data integrity and audit-readiness. You will be expected to demonstrate how you have managed operational data More ❯

Junior Data Analyst Location: Offices in both London & Manchester Salary: £40,000 – £50,000 Our client is seeking a talented Junior Data Analyst to join their dynamic team in either London or Manchester on a hybrid basis. This is an exciting opportunity to work on impactful projects and help shape data-driven decisions. Key Responsibilities Query and manipulate data from relational databases using SQL. Clean, transform, and prepare real-world data for analysis. Build dashboards and reports using Tableau, Power BI, or similar tools. Perform ad-hoc analysis and advanced data handling in Excel (pivot tables, data cleaning). Apply basic statistical techniques to interpret data and identify trends. Collaborate with stakeholders to deliver actionable insights. Requirements A related degree (e.g., Data Science, Statistics, Computer Science, Mathematics). Strong proficiency in Python and SQL. Experience with relational databases. Intermediate to advanced Excel skills. Familiarity with data More ❯