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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.
Remote Databricks Data Engineer — Lead Data Pipelines & QA
Develop data pipelines and provision data for a financial services client using Databricks, handling UAT, stakeholder engagement, and technical oversight.
Senior Data Engineer - Hybrid London | Large Pipelines
Senior Data Engineer at WeDoTech in London to drive modernisation of large-scale data pipelines and workloads using Spark/PySpark, Python, and AWS in a complex enterprise environment.
Principal Data Engineer (Databricks)
Principal Data Engineer designing and building scalable Databricks data pipelines and Lakehouse architectures for a global tech consultancy, using Python, Spark, SQL, Delta Lake, and orchestration tools.
Data Engineer: Azure-Powered ETL & AI Data Pipelines
Designs and builds data pipelines, manages data lakes, and collaborates on scalable solutions using Azure data services, ETL processes, and notebooks in a hybrid office setup.
Data Engineer: Databricks & Fabric Lakehouse Pipelines
Data Engineer building and optimizing ETL/ELT data pipelines using Microsoft Fabric and Databricks Lakehouse to deliver clean, production-ready data for enterprise analytics and Power BI reporting.
Data Engineer (Databricks / Snowflake)
Builds and supports data pipelines and models (Data Vault 2.0, Kimball) using Databricks or Snowflake, SQL, and Python within regulated financial services, focusing on client delivery and production data platforms.