4 of 4 Contract Lead Data Engineer Jobs

A leading consultancy is hiring a Data Lead Engineer (Refinery Divestment) who has experience with Refinery Divestment within the Oil & Gas industry. Hybrid position. 6-month rolling contract, paying up to £800 per day Experience and skills required for the Lead Data Engineer, Refinery Divestment, Oil & Gas In-depth experience with Refinery Divestment Proven … experience in data leadership roles within M&A, divestments, or large-scale transformation programmes. Strong understanding of refinery operations and oil & gas industry data domains. Expertise in data governance, data architecture, and data quality management. Familiarity with regulatory frameworks (e.g., HSE, environmental compliance). Experience with data room setup and management (e.g., Intralinks, Ansarada … . Excellent stakeholder management and communication skills. Package for the Lead Data Engineer, Refinery Divestment, Oil & Gas Hybrid position Paying up to £800 per day More ❯

Job Title: Lead Data Engineer Location: Warwick (Hybrid - once per week onsite) Remuneration: From £700 per day (via umbrella company) Contract Details: Fixed Term Contract, 6 months, Full Time Are you ready to take the lead in transforming data engineering? Our client, a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role , ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools. Why This Role Stands Out This is not just a leadership role - it's a hands-on engineering opportunity where your … expertise will be front and centre . You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting. Key Responsibilities Lead and deliver hands-on data engineering across all layers of the Azure-based data platform. Act as the Databricks SME (Subject Matter Expert) , overseeing architecture, configuration, and More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer (Data/ML) you will be part of build a small team and mentor during the build phase along … with the Engineering Manager. Job Title: Senior/Lead Tech Engineer (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £575prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like … minded Tech Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - Nice to have (Full Support from Engineering Manager) Hands on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud More ❯

Contract Opportunity: Lead Azure Data Engineer (Remote - 500/day Outside IR35) We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting … through cutting-edge cloud engineering and data architecture. Location : Central London (UK-based candidates only) Rate : £500/day IR35 Status : Outside IR35 Start Date : ASAP - Interviews next week Duration : 6 months with potential for extension The Role You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working … closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure. Key Responsibilities Build and enhance ETL/ELT pipelines in Azure Databricks Develop facts and dimensions for financial reporting Collaborate with cross-functional teams to deliver robust data solutions Optimize data workflows for performance and More ❯