3 of 3 Remote/Hybrid Data Engineering Jobs in Cheshire

Data Engineer - Warrington

Hiring Organisation
Circle Group
Location
Warrington, Cheshire, North West, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£55,000
Data Engineer - Warrington Data Engineer with excellent experience in data engineering, data development, data integrations, SQL, Python, data warehousing, & Azure data platforms is required by a leading company near Warrington. Any experience with Snowflake, Kimball, Databricks, & ThoughtSpot would be a bonus. … role can be Hybrid, with 2 days in the office. As part of an ongoing investment in data and analytics capabilities, they are seeking a Data Engineer to join a growing data team and help shape the future of their data platform. Key Skills: * Strong ...

Data Engineer

Location
Warrington, England, United Kingdom
Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester Manchester location – hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data … sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework ...

Senior Data Scientist

Location
Chester, England, United Kingdom
Learn, Sustainable Impact. What You Need To Know Salary: Up to £70,000 per annum Location: Chester HQ, Hybrid working. Report To: Head of Data Science. Team: Data Science. Working Pattern: 37.5 hours (Monday to Friday, 9am until 5:30pm) About the Senior Data Scientist Role … Senior Data Scientist is a hands-on technical role responsible for designing, building, and shipping the machine learning models that drive commercial performance across the group. This role takes business problems through the full lifecycle - framing the problem, exploring the data,buildingandvalidatingmodels, and getting them reliably into production. ...