4 of 4 DemandTrendPermanent Azure Data Factory Jobs in Slough

Azure Data Engineer Up to £74,000 + Benefits International Law Firm – London (Hybrid) I’m working with a highly respected international law firm that’s looking for a skilled and proactive Azure Data Engineer to join their forward-thinking Data team. This role is a great fit for someone … who thrives on solving complex data challenges and wants to directly influence how a global legal business uses its data to make smarter decisions. As part of the Strategy, Transformation & Project Delivery function, you’ll be instrumental in designing, developing, and optimising the firm’s Azure-based data infrastructure, from building scalable … Work closely with IT, Finance Systems, Marketing, and legal teams, ensuring analytics and reporting teams have clean, structured data. What We’re Looking For Essential Proven expertise in Microsoft Azure data services (Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure More ❯

Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Job Description: We are looking for a seasoned AWS Data Engineer to join our team and contribute to the development of scalable, secure, and high-performance data solutions. This role involves modernizing mainframe legacy systems, building robust … data pipelines, and enabling advanced analytics using AWS-native technologies. You’ll collaborate with cross-functional teams and play a key role in shaping our data strategy. Skills Must have : Proven experience in designing and maintaining scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance … optimization. Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats. Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library. Experience implementing data retention and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured More ❯

Data Services Database and Infrastructure Consultancy Data Engineering & Analytics Adoption and Change Management Their reputation is built on strong consulting skills, deep expertise in Microsoft Data Services, and a highly collaborative culture. They place a premium on client engagement, commercial awareness, and internal collaboration to drive results. Role Overview As a Consultant, you will … insights using tools like Power BI Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines … learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles Skilled in data modelling More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £675 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 ❯