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Data Engineer
A Data Engineer designs and maintains robust data warehouse solutions, builds and optimizes data pipelines, and improves ETL processes using SQL and cloud technologies like Azure.
Data Engineer
Build scalable data pipelines and platforms using PySpark, SQL, and Microsoft Fabric for a private equity-backed company's greenfield data transformation.
Data Solutions Architect
Designs and implements scalable, secure enterprise data platforms using Databricks, Azure, and cloud technologies to enable analytics and business decision-making. Mentors teams and establishes architectural standards.
Chief Artificial Intelligence Architect (Hybrid)
Principal AI & Grid Intelligence SME defining data architectures (Data Warehouse, Data Lake, Lakehouse, BI) on cloud platforms (Snowflake, Azure, Microsoft Fabric, Power BI, dbt, BigQuery), designing AI-ready architectures for ML/generative AI, and promoting DataOps/DevOps/MLOps.
Data Engineer, (Consultant, Data & Analytics) with Security Clearance
Builds and maintains secure, automated data pipelines for federal public health programs using Python, SQL, PySpark, and Databricks in a cloud environment.
Hybrid BI Data Engineer: Power BI & Fabric Expert
Designs and maintains data pipelines, reports, and BI infrastructure using Microsoft Fabric and Power BI, working with stakeholders to translate requirements into actionable insights and ensure data quality.
Data Engineer: Greenfield Data Platform (Hybrid, Manchester)
Designs and optimizes scalable data pipelines and platforms using modern tools like Microsoft Fabric and Delta Lake to enable company-wide analytics and reporting, with significant autonomy in a greenfield data transformation project.
Lead Data Engineer
Lead Data Engineer responsible for designing and building scalable data pipelines, vector search systems, and ML data pipelines for an AI start-up, working with Python, PostgreSQL, and cloud technologies.
Senior Data Engineer
Senior Data Engineer working on a multi-cloud data platform modernization, designing and delivering robust data pipelines using AWS/GCP/Azure, Python, SQL, Spark, dbt, and Terraform.
Data Engineer (SC Cleared)
Works as a Forward Deployed Data Engineer on client-embedded projects, designing data pipelines, workflows, and decision-support tools using Python, SQL, TypeScript, ETL, and applied AI/ML for government and enterprise clients.
SC Cleared Data Engineer
A Data Engineer role focused on building and maintaining data pipelines and applications using proprietary software, collaborating with data scientists and engineers, with core technology including Python.
Data Engineer - Financial Services
Design, develop, and support modern data platforms and pipelines using Azure and the Microsoft data ecosystem, with opportunities to work with Microsoft Fabric for a financial services firm.
Senior Data Engineer
Senior Data Engineer responsible for building and maintaining SQL data pipelines and data warehouses, primarily using SQL and Python with Microsoft SQL Server technologies, to support financial reporting and analytics.
Senior Data Engineer
Design and build scalable, real-time data pipelines on GCP, integrating diverse sources and ensuring high performance and data quality for analytical use cases.
Data Engineer
Design and build scalable data pipelines and data models for a business intelligence environment, working with modern cloud technologies and collaborating with stakeholders to deliver insights.
Data Engineer
Data Engineer building and optimising data pipelines and ETL workflows within the Palantir Foundry platform for Defence & Security programmes, using Python and TypeScript.
Data Engineer
Data Engineer designing, building, and maintaining secure data platforms/pipelines for operational intelligence; uses Python, Java/Scala, SQL, Apache Spark, Hadoop, AWS, Docker, Kubernetes, CI/CD.
Data Engineer
Build and maintain data processing pipelines, transforming and optimizing data for analytics using ETL tools like Airflow, cloud platforms (AWS/Azure/GCP), and Kafka in an Agile environment.