6 of 6 Contract Data Quality Jobs in Central London

Data Engineer - £350PD - Remote Required Technical Skills Data Pipeline & ETL Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data Hands-on experience with AWS Glue and AWS Step Functions Implementation of data validation, data quality frameworks, and reconciliation checks … Strong error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations ...

Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain … scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation ...

Data Engineer - 14-Week Contract (Outside IR35) Likely to Extend Start Date: 12th January Rate: £350 per day Location: Remote (UK-based) Interview: Immediate - Offer before Christmas We are seeking an experienced Data Engineer to join a 14-week project focused on building robust data pipelines … integrating complex data sources. This is an outside IR35 engagement, offering flexibility and autonomy. Key Responsibilities Design and implement ETL/ELT pipelines with strong error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions ...

About the RoleWe are seeking a Databricks Data Engineer with strong expertise in designing and optimising large-scale data engineering solutions within the Databricks Data Intelligence Platform. This role is ideal for someone passionate about building high-performance data pipelines and ensuring robust data governance … across modern cloud environments. Key Responsibilities Design, build, and maintain scalable data pipelines using Databricks Notebooks, Jobs, and Workflows for both batch and streaming data. Optimise Spark and Delta Lake performance through efficient cluster configuration, adaptive query execution, and caching strategies. Conduct performance testing and cluster tuning to ensure ...

Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning … leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end-to-end business process applications, configuring workflows, implementing business rules, managing records, and integrating Appian with external systems ...

work through an umbrella company for the duration of the contract. You must be able to implement and support content-related configurations and data pipelines, ensuring structured metadata and reliable delivery. You will have experience of designing and maintaining schemas, mappings and validation rules for content. You will also … able to build/operate ETL/ELT jobs, ensuring data quality and lineage. You will collaborate with editors and product teams on release readiness and automate checks and monitoring. Experience of Data Engineering and SQL, Python and ETL tools. You must have knowledge of metadata management ...