to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure More ❯
retail environment. Share our values of being: Wise, Focused, Genuine, Eager, Together Proficient in SQL and Python with Experience with ETL workflows Experience with cloud-based data environments (AWS: S3, Lambda, ECS) Bachelor’s degree or equivalent qualification or equivalent experience in Data Science, Computer Science, Statistics, or a related field. Effective communication (written and oral), with attention to More ❯
capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯
Cambridgeshire, England, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
ll Need: Proven, deep commercial experience with Databricks. You must have hands-on expertise with Delta Lake and the Lakehouse paradigm. Strong expertise in the AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data More ❯
coordinate system fixes, enhancements, and improvements. Essential Skills & Experience: A minimum of 3 years in AWS-based BI/Data Engineering production support. AWS BI Stack: Redshift, Glue, Airflow, S3, Step Functions. Experience in data modeling, ETL pipelines, and reverse engineering. Proficiency in Power BI (preferred), Business Objects, or Qlik. Strong SQL scripting, optimisation, and troubleshooting capabilities. Previous experience More ❯
Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power …/Store Discount/Well Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/1292110. More ❯
