Data Engineer
Data Engineer📍 Hybrid – Lichfield (1 day per week in Group Support Office)Shape the Future of Data at Voyage CareAt Voyage Care, we're driven by a simple but powerful purpose: Fulfilling Lives for All. As one of the UK's leading...
Data Engineer📍 Hybrid – Lichfield (1 day per week in Group Support Office)Shape the Future of Data at Voyage CareAt Voyage Care, we're driven by a simple but powerful purpose: Fulfilling Lives for All. As one of the UK's leading...
Our client, a leading Technology Consulting business based in Newcastle upon Tyne, seek a Data Engineer to join their elite Tyneside team as part of rapid expansion of the business to cope with client demand and continued excellent performance.About the...
Lead the development and implementation of enterprise-wide data, AI, and automation systems, overseeing a distributed team and driving the adoption of centralised, scalable solutions. Define data roadmaps covering governance, quality, and access controls while integrating advanced AI frameworks and cloud platforms. Partner with business stakeholders to translate strategic goals into technical deliverables and foster team growth through coaching and technical leadership.
You will work as a software engineer on a cutting-edge AI-driven drug discovery platform, building and scaling data services that support scientific research and machine learning workflows. Your role involves designing robust data storage, integration, and serving systems, collaborating closely with scientists and ML researchers in a fast-paced, interdisciplinary environment. The position emphasizes innovation in data engineering and platform development to accelerate digital biology breakthroughs.
Senior Data Engineer – Monetary Analysis & Economic Data* Location: London, UK (Hybrid: 3 days in office, 2 days remote)* Security Clearance: SC Clearance Required (Active or eligible to undergo)* Salary: £75,000 to £80,000 + Benefits and Bonus* Position Type:...
This role involves designing and building scalable data pipelines and distributed systems to support both operational and AI workloads. The engineer will implement real-time and batch processing, optimise vector search for AI features, and establish data quality and governance frameworks. Close collaboration with backend and AI teams is required to support model training, inference, and product development in a fast-paced, product-led environment.
Build and enhance large-scale data pipelines for generative AI models using video and audio data. Collaborate with research and model training teams to curate high-quality datasets and extract features that improve model performance. Work on a human-centric data lake within a fast-moving AI research environment.
This role involves acting as a technical advisor to customers, demonstrating the Databricks Data Intelligence Platform through hands-on evaluations and custom solutions. You'll collaborate with sales teams to address complex data challenges in sectors like retail, media, and financial services, using expertise in Spark, cloud platforms, and programming languages like Python or Scala. The position emphasizes technical pre-sales support, solution architecture, and community engagement through workshops and meet-ups.
Design and build Power BI reports and dashboards while developing and maintaining the underlying data pipelines using SQL and modern data platforms. Work closely with stakeholders across operations, finance, and HR to translate business needs into technical reporting solutions. Focus on improving data quality, governance, and scalability within a growing data environment.
Design and build scalable cloud-native geospatial data pipelines and services, integrating diverse spatial datasets and optimising for performance and interoperability. Work within an Agile team to deliver robust geospatial engineering solutions using open-source tools and modern cloud platforms. Support automated testing, CI/CD, and technical documentation while collaborating with data engineers, architects, and GIS specialists.
Analytics Engineer / GCP / LookML / BigQuery£(Apply online only) per day (Outside IR35)London / HybridAnalytics Engineer / GCP / LookML / BigQueryThis is an opportunity for you to join a growing ecommerce business who are looking for an Analytics...
Design and implement data engineering and AI solutions on the Databricks platform for emerging enterprises and digital-native clients. Lead technical project delivery, provide architecture guidance, and resolve complex data challenges in collaboration with cross-functional teams. Create reference architectures, support migrations from legacy systems, and deliver production-grade implementations tailored to customer needs.
This role involves designing and implementing enterprise-scale Databricks Lakehouse platforms, translating business requirements into robust data architectures, and leading end-to-end delivery for clients. You'll optimise performance and cost of Databricks workloads, implement security and governance using Unity Catalog or Purview, and build automated CI/CD pipelines. The position emphasizes technical leadership, client engagement, and shaping modern data strategies across structured and unstructured data environments.
Lead the design and development of a new enterprise-wide Financial Crime data platform, integrating data from onboarding, screening, monitoring, and compliance systems. Build scalable cloud-based data pipelines and canonical models to support KYC, AML, risk assessment, and AI-driven decisioning. Establish data governance, quality, and engineering standards across a high-profile transformation programme with regulatory impact.
This role involves designing and implementing data architecture using Snowflake, with a focus on data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, securing data pipelines, and optimizing Snowflake's performance and cost efficiency.