151 to 159 of 159 Permanent Azure Data Factory Jobs

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at … scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for … data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are More ❯

and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and business discussions. More ❯

and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and business discussions. More ❯

and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and business discussions. More ❯

and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and business discussions. More ❯

and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and business discussions. More ❯

and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and business discussions. More ❯

experience in SQL Server database administration. Strong understanding of high availability, backup, and recovery strategies. Proficient in writing and troubleshooting T-SQL. Experience with ETL tools (e.g. SSIS, Azure Data Factory, Informatica, Talend). Familiarity with version control and collaborative working in a support or project setting. Strong communication skills and a methodical, team More ❯

Location: dmg media HQ - High Street Kensington, London, W8 Position: Permanent About the Role We are seeking a motivated ML Engineer/Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. In this role, you'll work at the intersection of machine learning and data engineering - designing and maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You'll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful.The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems … with data and machine learning. Main Responsibilities Collaborate with data analysts to create ML models from prototype to production Design, build, and maintain data pipelines and feature engineering workflows Deploy, monitor, and optimize ML models and pipelines in production Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring Support and More ❯