6 of 6 Remote Lead Data Engineer Jobs in London

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 ❯

We are hiring a Lead Data Engineer: Exciting role in the Financial Services Space Location: UK-based | Flexible/Hybrid Working Options Contract Type: Permanent/Full-Time Overview I'm currently recruiting on behalf of a prestigious UK financial services organisation that is expanding its Retail Data Operations team . Following a strategic internal merger … they are hiring three Lead Data Engineers to support the build-out of new data capabilities focused on retirement solutions. This is a fantastic opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT … and Azure DevOps Ensure solutions are GDPR-compliant and aligned with business and technical requirements Lead Agile delivery within Scrum teams, translating user stories into actionable engineering tasks Collaborate with architects, product owners, and stakeholders to deliver high-impact data solutions Drive continuous improvement in engineering standards and release management processes Mentor and support junior and mid-level More ❯

We are hiring a Lead Data Engineer: Exciting role in the Financial Services Space Location: UK-based | Flexible/Hybrid Working Options Contract Type: Permanent/Full-Time Overview I'm currently recruiting on behalf of a prestigious UK financial services organisation that is expanding its Retail Data Operations team . Following a strategic internal merger … they are hiring three Lead Data Engineers to support the build-out of new data capabilities focused on retirement solutions. This is a fantastic opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT … and Azure DevOps Ensure solutions are GDPR-compliant and aligned with business and technical requirements Lead Agile delivery within Scrum teams, translating user stories into actionable engineering tasks Collaborate with architects, product owners, and stakeholders to deliver high-impact data solutions Drive continuous improvement in engineering standards and release management processes Mentor and support junior and mid-level 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 ❯

Data Engineer | Fabric | Azure | Python | SQL | PySpark Senior Data Engineer - Up to £90,000 Hybrid Working - 1 day per fortnight in office Method Resourcing are thrilled to be partnering with a rapidly scaling business who are preparing to embark on a greenfield Fabric implementation to unify data platforms and analytics across the business. To achieve … this, they are looking to hire an experience Data Engineer with proven experience delivering Fabric in a prior engagement. You will lead on the design, development and delivery of this end-to-end project and define the future roadmap for the business. The ideal candidate will have commercial hands-on experience implementing Fabric into a business and More ❯

and it is deeply rooted throughout our work, to elevate and bring to life our differences throughout the platform world Overview We are seeking an experienced and highly skilled Data Engineering Technical Lead to drive the design, development, and optimization of our cloud-based data platforms and solutions. This role will be a blend of hands on … design and strategy decisions. Initially there will be a focus on GCP but will also involve working extensively with Snowflake and Databricks, as well as other modern cloud and data engineering tools. As the technical leader for the data engineering function, you will define architectural standards, mentor engineers, and collaborate with cross-functional teams to ensure scalable, reliable … and high-performance data solutions. You will be responsible for guiding the evolution of our data infrastructure, enabling advanced analytics, and ensuring data quality and accessibility across the organization. The ideal candidate will have had essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices and deep More ❯