2 of 2 Contract Azure Synapse Analytics Jobs in the South East

Azure Data Engineer Rate - up to £450/day Outside IR35 Location - 2 days a week onsite in Central London Duration - 6 Months + Likely Extension We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to … month contract, with strong potential for extension. This role is Outside IR35 and offers £450/day, requiring 2 days onsite per week in Central London. Key Responsibilities - Azure Data Engineer: Design, build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and … Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering. Ensure compliance with data governance and security policies (incl. GDPR and More ❯

data integration from various sources (internal systems, third-party vendors) into centralised data platforms. Monitor and troubleshoot data jobs and pipelines to ensure consistent and reliable delivery. Collaborate with analytics and reporting teams to deliver high-quality datasets for business intelligence. Participate in code reviews, documentation, and team discussions as part of a collaborative engineering culture. Ensure data quality … Profile The Junior Data Engineer will ideally have a degree in Computer Science, Engineering, Mathematics, or a related field. 1-3 years of experience in a data engineering, data analytics, or software engineering role. Proficient in SQL for querying, data manipulation, and performance tuning. Hands-on experience with Azure Data Services (such as Azure Data Factory, Azure Synapse, Data Lake, or Logic Apps). Strong problem-solving skills and attention to detail. Excellent communication skills and a collaborative mindset. Nice To Have Experience with Python for data transformation, scripting, or automation tasks. Familiarity with Snowflake or other modern cloud data warehouses. Exposure to investment management, financial services, or regulated environments. Understanding of data modelling, governance More ❯