3 of 3 Part-Time Data Modelling Jobs in the Thames Valley

Data Engineer - Hybrid Role Working as a key member of the Digital Data team, the purpose of this Data Engineering role is to help build out the next evolution of our clients Enterprise Data Platform (EDP). The role will collaborate with colleagues from across the organisation, including their bespoke data product teams, to contribute … to the overall goal of becoming a data-driven organisation with a centralised enterprise Lakehouse at its core. You will therefore assist in the delivery of this vision and play your part in helping take the client toward the next level of data maturity. What youll be doing as a Data Engineer Manage the investigation of corporate … data requirements, documenting them according to the required standards, utilising the prescribed methods and tools. Implement data flows to connect operational systems, data for analytics and BI systems. Re-engineer manual data flows to enable scaling and repeatable use. Work closely with data architects and data scientists to determine which data is needed More ❯

Role: Senior Data Analyst Type: Permanent Mode: Hybrid working (3 days office per week) Location: Milton Keynes, UK Experience: 10 years and above NOTE: Visa Sponsorship NOT required Job Description Lead end-to-end data workflowsfrom requirement-to-deliveryincluding data product creation and secure data transfer from Google Cloud Platform to PostgreSQL. 1. Develop & Schedule SQL … automate those views, ensuring reliable execution on daily, weekly, or customized schedules. 2. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are … and errors. Conduct root cause analysis for pipeline failureswhether due to schema mismatches or performance bottlenecksand apply robust fixes. Document resolutions to strengthen system resilience. 4. Design, Build, & Govern Data Products Architect, construct, and maintain reusable data products, embedding clean datasets, metadata, governance policies, and clearly defined data contracts. Ensure compliance with FAIR principlesdata being Findable, Accessible More ❯

hands-on experience with ITSM and at least two other ServiceNow modules. Proven track record of ServiceNow integrations (REST, SOAP, APIs, MID Server). Experience with ServiceNow scripting and data model. In-depth knowledge of ITIL/ITSM processes. Background in designing and implementing CMDB and Discovery. Excellent problem-solving, communication, and stakeholder management skills. Preferred Qualifications: ServiceNow Certified More ❯