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Design and operate scalable data pipelines and storage solutions for enterprise clients using Python/SQL and cloud platforms (AWS, GCP, or Azure), implementing reproducible CI/CD pipelines to production and mentoring teams on best practices.
The Data Engineer will build and maintain scalable data solutions and AI-enabled analytics platforms using Snowflake, Azure, and Python. The role involves working within a modern data platform team and requires hybrid attendance in London.
The Azure Data Engineer will design, build, and optimize scalable data platforms using Azure, Python, PySpark, and SQL to support data ingestion and analytics. This role is remote within the UK and focuses on developing efficient data pipelines.
The Lead Data Platform Engineer will lead an agile team to build and maintain data pipelines and data lakes within the Ascend Cloud Foundation platform. This role requires expertise in AWS, Apache Spark, and DevOps practices to deliver scalable data solutions.
The Associate Scientific Data Engineer will build data pipelines and tools to transform experimental quantum hardware data into actionable insights. You will collaborate with scientists to develop scalable software and measurement systems.
This role is a four-month contract focused on sales data analytics using Azure Databricks, Python, and SQL. The engineer will map product data, manage Salesforce-derived datasets, and ensure data quality and governance.
Design and optimise Snowflake data pipelines, create trusted data models, and deliver scalable data products supporting finance, operations, and customer/loyalty insights for a restaurant business.
Field Data Engineer performing 1st and 2nd fix work, pulling Fibre, Coaxial, and CAT6 cables on a new-build construction site.
Hands-on Data Architect/Lead Data Engineer role focused on Databricks — designing data models, building pipelines, and providing technical leadership for a Worcester-based technology organisation.
4-month contract Data Engineer working in an Azure/Databricks environment to support a sales data project, using Python and SQL to map products and analyze subscription growth.
Data Platform Engineer building scalable data pipelines and secure, maintainable solutions using Azure and Python in a hybrid team at a major UK motoring organization.
Data Engineer owning the Atlas CDP build, working on event streaming, identity resolution, Snowflake warehousing, and dbt transformations with production-grade ETL/ELT pipelines.
Senior Data Engineer designing and building scalable data platforms for fintech clients using Python, PySpark, SQL, and AWS in a hybrid London role.
Design, build and maintain scalable data pipelines and ETL processes in a hybrid London/Newcastle role, ensuring data quality, security and accessibility across systems while collaborating with analytics engineers and data scientists.
Design and maintain cloud-based data platforms and data warehouse solutions, building ETL/ELT pipelines with Databricks, Spark, SQL and Python while automating deployments via Terraform and CI/CD pipelines in an Azure environment.
Design, build, and operate production-grade AI-powered applications and agents, collaborating with stakeholders and engineers to integrate AI systems into real business workflows.
Senior Data Engineer building scalable, production-grade cloud data platforms, collaborating with architects, analysts, and data scientists to drive large-scale cloud transformations and influence platform strategy.
Principal Data Platform Engineer leading data lake and warehouse platform optimization on AWS, with hands-on Python development, DevOps/DataOps expertise, and mentoring of teams building secure, scalable cloud solutions for audience personalisation.
The VP of Full-Stack Engineering will lead software teams at BNY Mellon to deliver secure, scalable systems while driving cloud adoption, AI integration, and architecture modernization.
Bluelight is hiring a Full-Stack Developer to work on client projects and their proprietary CMS and portal products using .NET/C# and Azure. The role involves the full development lifecycle, including planning, development, QA, and deployment.
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