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Data and AI - Data Architect or Engineer
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Senior Data Engineer - Azure
Design and implement scalable Azure-based ETL pipelines and data flows for a UK fintech firm, using Azure Data Factory, Synapse, and Spark to improve financial well-being analytics.
Staff Data Engineer
Lead the design and delivery of a modern cloud-based data platform for a major UK retailer using Azure, Databricks, PySpark, and Python to build scalable pipelines and mentor engineers.
Principal Data Engineer
Principal Data Engineer builds and maintains Azure Databricks pipelines, ELT workflows, and production AI models to power analytics and insights for England’s higher-education regulator.
Data Engineer
Build and maintain data pipelines and integrations for a B2B SaaS product using Python, SQL, PySpark, and Databricks to deliver clean, reliable data to client workflows.
Principal Data Engineer
Principal Data Engineer builds and secures Azure-based data platforms (ADF, Databricks, Lakehouse) to power real-world decision-making and modernize large-scale systems.
Principal Data Engineer
Principal Data Engineer at Royal London designs and builds scalable data pipelines and platforms using Python, SQL, Databricks, and Azure tools to enable AI-driven insights for pensions and investments.
Senior Data Engineer
Senior data engineer builds and maintains data platforms, pipelines, and warehouses for UK enterprises and government clients using Python, Spark, SQL, and cloud services.
Cloud Data Engineer
Build and maintain cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Consultant - Manager, Data Engineer, AI & Data, Defence & Security
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Senior Data Engineer - ML and AI Platform Engineering
Build and own cloud-native data and ML pipelines end-to-end for an AI-first SaaS platform that turns messy data into trusted insights.
Data Engineering Consultant: PySpark & Lakehouse
Build and optimize PySpark pipelines and lakehouse architectures on AWS/Azure/GCP while collaborating with clients to deliver scalable data solutions.
Azure Data Engineer
Design and build scalable Azure data pipelines and platforms to ingest, transform, and deliver clean data for analytics and reporting in a sustainability-focused chemicals company.
Azure Data Engineer
Design and build scalable Azure data pipelines, migrate legacy systems to the cloud, and optimize ETL/ELT processes using Databricks, PySpark, and Azure Data Factory.
Senior Data Engineer
Build and maintain Azure-based data pipelines, lakes, and warehouses, and deliver Power BI reports to support scalable analytics and business intelligence.
Staff Data Engineer
Build and scale cloud-native data pipelines on Azure and Databricks, owning production-grade systems and setting engineering standards for a major UK retail brand.
Azure Data Engineer
Build and maintain Azure-based data pipelines and Power BI models, using PySpark and Microsoft Fabric to move and transform enterprise data into analytics-ready lakehouses.
Principal Data Engineering : Databricks
Principal Data Engineer builds and leads data pipelines and foundations using Databricks, PySpark, Python and SQL to enable an energy trading company to extract value from data.
Azure Data Engineer
Builds and maintains Azure-based data pipelines and ELT/ETL processes using Azure Data Factory, Synapse, and Fabric to deliver clean datasets for analytics and reporting.
Principal Data Engineer
Lead a team of data engineers to design and deliver secure, scalable data solutions for critical energy and infrastructure projects, using cloud platforms and modern data practices.