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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.
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.
Azure Data Engineer
Build and optimize scalable data pipelines and warehouses using SQL, ETL/ELT, and cloud platforms to power analytics and BI for a growing product team.
Data Engineers – National Security Opportunities
Design and build modern cloud-native data platforms for national security programs, using AWS/Azure, Spark, Databricks, Kafka, and ETL/ELT pipelines to support AI and ML workloads.
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.
Principal Data Engineer
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
Senior Data Engineer
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
Senior Manager, Data Engineering
Senior Manager to lead data-engineering engagements, designing cloud data platforms (warehouses, lakes, pipelines) and advising clients on modern stacks (AWS/Azure/GCP) while mentoring teams and driving business development.
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 Engineering Manager
Lead a config-driven data platform that ingests, transforms, and delivers paid-media data from 26+ ad platforms into BigQuery using dbt, Python, and GCP.
Principal Data Engineer
Principal Data Engineer designs and maintains secure, scalable data platforms and pipelines for Defence/Aerospace programmes, using cloud-native tech and DataOps to enable analytics and digital transformation in regulated environments.
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 maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Python Data Engineer
Design and maintain data models, ETL pipelines, and warehouses in Python/SQL to support audit and risk analytics for financial clients.
Data Engineer - Databricks
Build and maintain scalable data pipelines and lakehouse infrastructure using Databricks, PySpark, and SQL to deliver high-quality analytics and data products for enterprise clients.
Senior Manager, Data Engineering
Leads data-engineering engagements for clients, designing cloud data platforms (AWS/Azure/GCP), building ETL pipelines, and coaching teams while advising on governance and modernisation.
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.
Senior Data Engineer - Machine Learning Operations (MLOPS)
Senior role building and governing production-grade ML workflows on Databricks and Azure ML, using MLflow for tracking and CI/CD pipelines to safely move models from experimentation to production.
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.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines with Databricks and Spark, migrate SSIS to cloud, and design secure data lakes for analytics and reporting.