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Data Architect
Data Architect (Mid-Level) designing scalable data architectures, building ETL/ELT pipelines, and maintaining cloud data platforms for the Modern Disability Claims program. Core technologies include Python, SQL, Pandas, PySpark, NumPy, Git, Databricks, Redshift, BigQuery, and Hive.
Data Engineer
Build and maintain cloud-based data pipelines in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client solutions.
Data Engineer
Build and maintain cloud-based data pipelines and ETL workflows in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client reporting.
Data Engineer
Designs and builds scalable data pipelines on AWS to extract insights for a government client, using Python, PySpark, and cloud-native tools while maintaining strict security compliance.
Data Engineer (GovCon | Public Trust Eligibility)
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Data Engineer
Builds and maintains secure, scalable data pipelines for mission-critical workflows, focusing on ingestion, transformation, and orchestration while collaborating with stakeholders to deliver reliable solutions.
Senior Engineer - FullStack (Java/React) & Databricks
Build production-grade full-stack applications using Java Spring Boot and React, work with Databricks on data pipelines, and collaborate in a hybrid night-shift team.
Data Engineering Manager
Lead the delivery of complex data engineering solutions, design data platforms/pipelines, and mentor teams using Spark, SQL, and cloud technologies.
Junior Data Engineer – Databricks & Azure (Energy Trading)
Builds and maintains cloud-based data pipelines using Databricks/Azure to modernize legacy systems for an energy trading firm, using Python, SQL, and streaming/batch processing.
Contract Databricks Data Engineer Role - Remote - GBP400/pd
Build and maintain Databricks-based data pipelines for a fintech firm, ensuring reliable data for analytics and decision science teams.
Senior Data Engineer — Production ML & Data Platform
A Senior Data Engineer designs and maintains data pipelines, collaborates with Data Science and Product teams, and deploys production ML systems on an AWS-native stack to support analytics and forecasting.
Lead Data Engineer & Tech Leader — Shape Our Data Platform
Lead a small team to design and build a scalable data platform using SQL/Python/Azure, balancing hands-on engineering with strategic stakeholder collaboration to enable data-driven decision-making.
Senior Data Engineer | Lead Azure Data Platform (Remote)
Leads the design and scaling of Azure-based data platforms, building pipelines and warehouses while mentoring engineers and collaborating with stakeholders.
Data Engineer - AWS, Spark & AI
Build scalable data pipelines using Python, SQL, Spark, and AWS at a fast-growing startup, leveraging AI-assisted tools for large-scale data processing.
SL Transformation-Senior Data Engineer
Design, develop, and maintain scalable data pipelines and platforms (ETL/ELT, data warehouses) using cloud tech and Python/Spark to support analytics and business transformation initiatives.
Senior Data Engineer - Cloud Data Platform & Impact
Lead data transformation efforts and build scalable data pipelines using modern cloud technologies, mentor team members, and deliver impact for customers at The Very Group
Real-Time Treasury Data Engineer
Data Engineer at QRT building real-time Treasury data pipelines, datasets, and APIs to power financing insights for traders and desk leadership in London.
Senior Data Engineer (Databricks)
Senior Data Engineer with Databricks expertise to design, build and maintain data pipelines for marketing analytics, working with marketing stakeholders to develop data models supporting dashboards and attribution modeling.