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Data Engineer PySpark AWS - Relocate to Dubai
Build a centralized data platform using Python, PySpark, and AWS services to store and process event data, enabling large-scale marketing campaigns.
Senior Data Engineer - Python, Databricks & AWS
Build and maintain data pipelines for regulatory reporting using Python, PySpark, and AWS services in a large financial firm.
Cloud Migrations & DevOps Expert Opportunities
Outsourcing firm hiring contractors to assist with cloud migration projects, focusing on GCP/Azure infrastructure and data pipelines.
Senior Data Engineer: Azure Fabric & Data Platform Expert
Designs and builds scalable data pipelines using PySpark and SQL on Microsoft Azure Fabric, Databricks, and Synapse to enable data-driven insights.
Senior Business Intelligence Developer / Senior Data Engineer
Build and optimize a modern cloud-first data infrastructure using Azure, Databricks, and PowerBI to deliver analytics and reporting solutions for Finance, Product, and Compliance teams.
Staff Data Engineer London Contract Inside IR35
Staff Data Engineer modernizes enterprise-scale data pipelines using PySpark, AWS Glue, and Airflow, while setting engineering standards and coaching teams on cloud-native architectures.
Senior Data Engineer (Microsoft Fabric & Azure Data Platform)
Design and build scalable data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to transform and integrate enterprise datasets for analytics and insights.
Senior Data Engineer (Microsoft Fabric & Azure Data Platform)
Build and optimize cloud-native data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to deliver scalable data solutions for enterprise clients.
Data Engineer - 12 month fixed term contract
Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Python to transform enterprise data into clean, analytics-ready datasets.
Data Engineer - Azure, DataBricks, PySpark
Build and maintain cloud data pipelines on Azure and Databricks using Python, PySpark and SQL to power analytics and decision-making for a London insurer.
Staff Data Engineer — Data Modernisation (PySpark, AWS) London
Lead modernization of large-scale data pipelines using PySpark, Python, AWS Glue, Spark, and Airflow in a regulated environment.
Senior Data Engineer: Azure Fabric & Data Platform
Designs and builds scalable data pipelines using Microsoft Fabric, Azure Databricks, and Synapse to transform datasets and enable analytics.
NLP/LLM Data Engineer (Contract)
Designs and optimizes data pipelines for NLP and LLM applications using Python, SQL, PySpark, and Airflow in a cloud environment.
Data Engineer SQL Databricks - Fintech
Build and maintain scalable data pipelines and models in Databricks and Azure to feed an investment-management firm’s front-office analytics and operations.
Staff Data Engineer | London | Con...
Staff Data Engineer modernizing large-scale cloud data pipelines using PySpark, AWS Glue, and AI-assisted tools to set engineering standards and drive scalable data solutions.
DevOps Consultant - Databricks
Build and maintain secure, scalable Databricks data platforms on AWS, automating ELT/ETL pipelines with PySpark, Spark, Kafka and CI/CD to deliver reliable data products.
Principal Geospatial Data Engineer
Lead a team to design and build geospatial data pipelines and cloud infrastructure on AWS, using QGIS, FME, and PySpark to power a major UK government digital transformation project.
Vehicle Performance Data Engineer
Build and maintain data pipelines for F1 car and simulator data, using Python, SQL, and DevOps tools to optimize race performance and support engineering teams.
Microsoft Fabric Data Engineer
Build and maintain scalable data pipelines and reports using Microsoft Fabric, Azure Synapse, and Power BI to turn raw data into actionable insights for clients.
Staff Data Engineer: Cloud-Native Pipelines & Tech Leadership
Designs and leads cloud-native data pipelines on Azure and Databricks using PySpark, sets engineering standards, and mentors a team to deliver scalable data solutions for enterprise use.