3 of 3 Remote Data Cleansing Jobs in Lancashire

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 ❯