5 of 5 Data Lake Jobs in West London

This newly created Data Engineer Managers position is an excellent opportunity for a hands-on Senior Data Engineer/Technical Lead/Engineering Team Lead etc looking to move into a management position. The postholder will lead and mentor a team of 3 Data Engineers whilst overseeing data platform development and optimisation. … Our client is a well-established and rapidly growing global ecommerce business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our clients data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet … the demand to deliver data driven insights and strategies right across the business globally. Therell be a hands-on element to the role as you'll be troubleshooting, doing code reviews, steering the team through deployments and acting as the escalation point for data engineering. This is a hybrid role based in Central/West London More ❯

with a flexible, student-powered workforce. The platform enables partnersfrom local pubs to multinational chainsto optimise staffing in real-time, enhancing efficiency and profitability. The Role As a Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Building and Maintaining Data Pipelines: Design and implement scalable … ETL processes to integrate data into our mobile and web applications, as well as internal dashboards. Data Architecture Design: Develop and optimise data storage, retrieval, and processing systems to ensure efficiency and scalability. Collaboration: Work closely with data scientists, software engineers, and internal stakeholders to understand data needs and deliver … solutions that drive data-driven decisions. Monitoring and Troubleshooting: Oversee pipeline performance, address issues promptly, and maintain comprehensive data documentation. What Youll Bring Technical Expertise: Proficiency in Python and SQL; experience with data processing frameworks such as Airflow, Spark, or TensorFlow. Data Engineering Fundamentals: Strong understanding of data architecture, data More ❯

Weareisseekinganexperienced DataArchitect topartnerwithleadingfinancialservicesclientsindeliveringinnovative,scalable,andsecuredatasolutions. Whatyoulldo: Collaboratewithclientstoassessdataneeds,designarchitectures,anddeveloproadmapsalignedtobusinessanddatastrategies. Translatebusinessrequirementsintorobust,compliant,andfuture-prooftechnicalsolutions. Designandimplementdatawarehousingsolutions,datalakes,andETLprocesses. Ensurealignmentofdataarchitecturewithorganisationalgoalsandregulatorystandards. Keepaheadofemergingtechnologiesandbestpracticesindataarchitecture,analytics,andcloudplatforms. Essential: Strongunderstandingofthefinancialservicesindustry. Extensiveknowledgeofscalable,efficient,andsecuredataarchitecture. Experiencewithdatawarehousing,datalakes,ETLprocesses. Proficiencyinlogicalandphysicaldatamodelling. Knowledgeofcloudplatforms(AWS,Azure,GoogleCloud,Snowflake). Excellentcommunicationandstakeholdermanagementskills. ProactiveapproachtoemergingtechnologiesandMicrosofttechstack. More ❯

large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception, LiDAR, and point cloud data. Build end-to-end data pipelines : collect sim/tele-op logs, manage versioned data lakes, apply weak supervision, curate datasets, and run evaluation loops. Collaborate with MLOps and Data More ❯

large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception, LiDAR, and point cloud data. Build end-to-end data pipelines : collect sim/tele-op logs, manage versioned data lakes, apply weak supervision, curate datasets, and run evaluation loops. Collaborate with MLOps and Data More ❯