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Big Data Java Developer - Mutiple headcounts
Develops and maintains large-scale Java-based big data applications and APIs for a global investment bank, using frameworks like Spark/Flink and cloud platforms (AWS/GCP). Focuses on scalability, performance optimization, and Agile/DevOps practices.
Analytics Engineer
Analytics Engineer building scalable DBT models, transformation pipelines, and BI dashboards on a modern self-serve analytics platform for a financial comparison site.
SC-Cleared Cloud Data Engineer: Spark, PySpark & Airflow
Builds and maintains cloud-based data pipelines using Spark/PySpark and Airflow to process large datasets, ensuring data reliability and governance in an AWS-native environment with IaC.
Hands-on Senior Data Engineer: Spark, AI, AWS (Hybrid)
Senior Data Engineer builds and optimizes large-scale data pipelines using Spark, Python, and AWS for a major UK organization’s AI estate.
Senior/Lead Data Engineer | London | Contract | Inside IR35
Builds and optimizes large-scale data pipelines and AI-driven workflows in a complex enterprise environment using Spark/PySpark, Python, and AWS, with hands-on engineering focus.
Senior Data Engineer: Databricks, AWS & Healthcare Data
Designs, builds, and optimizes healthcare data platforms using Databricks, Spark, Python, and AWS, ensuring NHS-compliant data quality, security, and pipeline efficiency.
Data Architect / Senior Data Engineer - Newcastle
Designs and leads enterprise-grade data platforms, integrating AI/data engineering with cloud technologies (Azure/AWS/GCP) to deliver scalable, secure, and future-proof solutions for clients.
Data Engineer (National Security) - DV / Edv
Build and maintain cloud-native data pipelines and platforms for national security programs, using Python, SQL, AWS, Spark, and modern data architectures to enable analytics and AI/ML.
Senior Data Engineer – Secure Defence Data Platform
Build secure data pipelines and platforms for defence using Python, Spark, Kafka, and Kubernetes in a hands-on role.
Junior Databricks Engineer - Remote Azure Data Platform
The Junior Databricks Engineer will build and maintain scalable data pipelines on the Azure platform using Databricks, Spark, and Delta Lake. The role involves working with ADLS Gen2, ADF, and Power BI to support enterprise-scale data analytics.
Data Engineer (Databricks and AWS)
Designs, builds, and optimizes data pipelines on Databricks and AWS to power UK healthcare systems, ensuring scalability, security, and compliance with NHS standards.
Data Engineer – Microsoft Fabric & Analytics Platform
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Data Engineer - Enterprise Streaming & Content
Designs and maintains scalable data pipelines and models for a global streaming giant, handling batch and live event data to power customer-facing features and global analytics.
Azure Data Engineer: Scalable Financial Data Pipelines
Build and maintain scalable Azure data pipelines for financial services, using ADF, Databricks, Python, PySpark and Spark SQL to deliver auditable data at scale.
Data Engineer
Designs and builds scalable AWS backend services and event-driven data pipelines using Scala, Spark Streaming, and Kafka, deploying on Kubernetes.
Lead Data Engineer
Lead a team to design and build scalable AWS-based data pipelines and lakehouse architecture, balancing hands-on engineering with technical leadership and mentorship.
Data Engineer
A junior data engineer cleans, transforms, and analyzes large datasets to uncover trends, builds ML models (regression/classification), and writes SQL queries. They collaborate with teams to ensure data integrity and create visualizations (Tableau/Power BI) for stakeholders.
Data Engineer
Build and own data pipelines that ingest, reconcile, and normalise fragmented police-force data into a unified, secure system for AI-powered policing.
Data Engineer
Builds and optimizes Azure-based data pipelines to ingest, transform, and deliver financial data (loans, property, collections) into relational models for analytics, risk, and portfolio strategy in Capital Markets.