13 of 13 Part-Time Data Lake Jobs in Central London

Senior Data Engineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform … Responsibilities Design, build, and maintain robust, scalable, and efficient data pipelines using Azure Data Factory, Databricks, and related tools. Expand the existing data lake and warehouse to include new domains such as supply chain, marketing, finance, and customer data. Develop and optimise ETL/ELT processes to integrate data from diverse … a Data Engineer (6+ years), ideally within a large-scale or global organisation. Strong expertise in the Azure data ecosystem, including: Azure Data Lake/Data Lakehouse Azure Data Factory/Synapse Pipelines Databricks Azure SQL Database or Synapse Analytics Solid understanding of data warehousing principles, ETL More ❯

Data Engineer Python | SQL | Azure | Microsoft Fabric Location: London Salary: 90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? Were looking for a talented professional to join our team and play a key role in designing, developing, and optimising … modern data platforms on Azure Cloud with a focus on an exciting Microsoft Fabric implementation. What youll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute … to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and More ❯

Role Sr. Technology Architect Technology Data Modelling, ERWIN Modelling, Azure Architect, PySpark Location UK(London) Job Description Data Architect should have key understanding of building Data Models, Experience in Data Architecting and Engineering space on Spark, Pyspark, ADF, Azure Synapse and Data Lake. Your role In the role of a … building. You will have the opportunity to shape value-adding solutions that enable our clients to meet the changing needs of the global landscape. Responsibilities Define the overall data architecture strategy aligned with business transformation goals Design scalable, secure, and integrated data models/assets Define and build Data Modelling and architecture Framework. Ensure … Experience on ERWIN Modelling. Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation & Testing. Experienced in designing & implementation of End-to-End Data More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing … data engineering team, you will contribute to large-scale transformation initiatives within the P&C Insurance space by developing robust data models, optimising data flows, and ensuring the accuracy and accessibility of critical information. The position requires close collaboration with both technical and business stakeholders, and is an excellent opportunity to join a team … showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using SQL, Python, and PySpark code Collaborate with cross-functional teams More ❯

Job Title: Senior Data Engineer Base Location: London OR Glasgow based (Hybrid 2 days per week in office) The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business. We do work that matters to our local business and communities supporting technical innovation and adoption of cutting edge solutions across the United Kingdom. This team will … upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join the KPMG Tax & Legal Technology Engineering team as Senior Data Engineer We might be world leaders in Tax & Legal, but in many ways the engineering department feels like a start-up, with a twist. Theres the buzz of scrum … Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with Azure Synapse (dedicated and serverless pools), Azure Data Lake, and Azure SQL. Familiarity working in a DevOps environment. Experience with REST APIs, including endpoint authentication and integration (e.g., Microsoft Graph APIs). To discuss this or wider Technology More ❯

Were looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data … transformation, and reporting across diverse sources. This is a strategic, hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. Lead the migration of data infrastructure from AWS to Azure, defining … the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure More ❯

Data Engineer x4 days a week in their London office Join a fast-scaling, product-led tech company on a mission to transform how their sector performs in real time. With a strong focus on data-led decision-making and seamless mobile experiences, this team is building out their next-generation data infrastructure, and … theyre looking for another Data Engineer to help drive that forward. This is an exciting opportunity to shape the way data flows through a live product used by thousands, while working closely with analytics, engineering, and commercial teams. Youll be joining a small, high-impact team, reporting to a technical leader with a strong background in … applied data architecture. What Youll Be Doing Designing, building, and maintaining scalable data pipelines to power both internal analytics and customer-facing mobile/web applications Developing robust ETL processes for ingesting and transforming data from a variety of sources, particularly APIs Creating and optimising data architectures to ensure efficient data More ❯

Youll be joining an established global commodities trading firm where world-class data analysts are already building sophisticated, high-impact models. They now need the tech muscle to take them to … production. In this crucial role, youll connect sophisticated analytics with scalable infrastructure, manage CI/CD pipelines, containerized systems, and AWS environments that underpin the firms data lake, data pipelines, and analytics platforms. Youll build robust infrastructure, automate data ingestion, and deploy cutting-edge analytical models into live trading environments. Working alongside brilliant … analysts and engineers, youll shape the firms technical foundation and directly influence how data drives trading strategy and decision-making. Location: London, hybrid. If youre passionate about creating tangible value through technology in a high-performance trading environment, this is where you can truly make a difference. More ❯

About the Role As a Data Engineer at Futuria, youll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. Youll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that … drives performance and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines … seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of More ❯

Data Engineer Salary - Up to 60,000 Location - London, UK (Hybrid) We are partnered with an energy industry organisation working on a key project to modernise the UK energy market. They are seeking a Data Engineer to join the team and contribute to a cutting-edge platform for analytics and machine learning. They are looking for … a skilled data engineer with experience in Databricks, Spark, and Python, who can deliver high-impact data products. This role offers the opportunity to work alongside an exciting, collaborative team with a clear roadmap for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes … and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as code (Terraform). Strong analytical skills More ❯

skills are required: Strong experience in a similar role (Quant Development/Analysis) Front Office experience , Ideally with experience working on Fixed income products Strong Python Strong exposure to datalake techynologies - Snowflake etc Excellent communication skills Interviews taking place ASAP. Please don't hesitate to reach out direct. sberry@hunterbond.com More ❯

skills are required: Strong experience in a similar role (Quant Development/Analysis) Front Office experience , Ideally with experience working on Fixed income products Strong Python Strong exposure to datalake techynologies - Snowflake etc Excellent communication skills Interviews taking place ASAP. Please don't hesitate to reach out direct. sberry@hunterbond.com More ❯

track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution … portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver … with a can-do mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking More ❯