2 of 2 Data Extraction Jobs in Lancashire

Data Engineer Location: Burnley, Lancashire Contract: Permanent - 37.5 hours per week Hybrid (2 days a week in office) Salary: £50-55,000 + performance bonuses + great benefits Are you a passionate Data Engineer looking to work on meaningful projects that make a difference to the environment? Fancy joining a friendly, inclusive team where your ideas matter, your … innovative and growing organisation thats been a pioneer in water network monitoring for over 20 years. As the sector steps up to meet new environmental challenges, the demand for data-driven solutions is growing fast - and this team is at the forefront of it all. If youre excited by working with large, complex datasets, building scalable data pipelines … and helping to solve real-world problems, wed love to hear from you. What youll be doing: Designing and building pipelines in the data platform, with automation, quality and resilience at the core. Supporting the development of a scalable data architecture and engineering roadmap. Helping colleagues across the business solve data problems, from ad hoc data More ❯

join one of the world's largest and most recognised education providers. Operating in over 30 countries, this organisation is on a mission to improve learner outcomes through innovation, data, and evidence-based practices. As part of their ongoing transformation through "Education 4.0," they're using data to personalise learning and evolve teaching methods - and they need analytical … with real social impact - every recommendation you make contributes to improving learning journeys for thousands of students across the UK and beyond. Key Responsibilities - Analyse learner performance and satisfaction data to identify trends, pain points, and areas of opportunity.- Evaluate the impact of instructional design, content, and new learning features through robust A/B testing and statistical significance … tracks key KPIs on learner success, engagement, and satisfaction.- Translate complex analysis into accessible insight for stakeholders across product, learning, curriculum, and academic teams.- Collaborate with IT to ensure data quality and integrity across Microsoft Fabric environments.- Document and manage data models, analysis logic, and reports to support repeatable, scalable insight generation.- Contribute to predictive modelling projects focused More ❯