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# Data Engineering Lead - AWS & AI - Manchester

- **Company:** Ai this
- **Location:** Stretford, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Sql Server Data Tools (SSDT), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Automation of Tests, Batch Processing, Information Engineering, Data Governance, Data Warehousing, Identity and Access Management, Python (Programming Language), Machine Learning, Metadata, Microsoft SQL Server, SQL Databases, SQL Server Integration Services, Data Streaming, Cloud Platform System, Amazon Relational Database Service, Apache Flink, AWS Data Analytics, Data Management, Video Streaming
- **Published:** September 28, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineering-lead-aws-ai-manchester/48843168

## About the Role

such as Flink or comparable platforms.Production AWS data engineering.AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch.Lakehouse architectures and open table formats such as Iceberg.Medallion-style data layering and dimensional modelling.Strong SQL and Python development skills.Infrastructure as code using Terraform.CI/CD, automated testing and modern engineering practices.SQL Server, SSIS/SSDT and Power BI.Semantic models, shared metrics and data glossaries.Data governance, retention, lineage, classification and auditability.Managing, mentoring or developing Data Engineers.You should also be comfortable using advanced AI coding assistants, such as Claude Code or equivalent tools, to accelerate development across code, infrastructure, testing and documentation while maintaining appropriate quality and security controls.Desirable experienceFinancial services or another regulated environment.PySpark for large-scale batch or streaming transformations.Migrating
SQL Server and SSIS estates to lakehouse or metadata-driven architectures.Customer Data Platforms or event-driven systems.Data-quality tools such as dbt tests or Great Expectations.MCP servers or governed natural-language data interfaces.Financial crime, fraud or regulatory-reporting data.Power BI administration and semantic modelling.Why apply?This is an opportunity to take genuine ownership of a business-critical data platform and shape how data and AI are used across an organisation.You'll have the freedom to introduce modern technologies, develop a talented engineering team and build a platform capable of supporting future analytics, AI products and strategic decision-making.Location: ManchesterWorking pattern: HybridData Engineering Lead - AWS & AI - Manchester #J-18808-Ljbffr

## Description

modern AWS lakehouse architecture.Create governed semantic models, consistent metrics and clear data definitions.Enable secure, self-service data analysis through modern AI tools.Automate manual, repetitive and fragile data processes.Support BI, Data Science, Machine Learning and Applied AI teams through a unified platform.Own data governance, platform security, monitoring and operating costs.Manage, develop and help grow the Data Engineering team.Work closely with technical leaders and senior stakeholders across the organisation.What we're looking forYou'll be an experienced Data Engineer or Data Engineering Lead who has built and operated complete data platforms-not simply individual components.You'll combine strong technical knowledge with the confidence to make architectural decisions, lead change and determine when existing technology should be evolved or replaced.Your experience should include:Batch processing, data warehousing, ELT and orchestration.Modern streaming technologies


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