Adria Solutions Ltd
Lead Date Engineer
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Lead Data Engineer
Manchester | Hybrid | Circa £85K
An established organisation is looking for a hands-on Lead Data Engineer to take ownership of its existing data estate and lead the development of a modern, scalable data platform.
This is an excellent opportunity to build a platform supporting Business Intelligence, Data Science, and Applied AI. You’ll introduce modern batch and real-time data-processing capabilities, automate inefficient processes, and make trusted data more accessible across the organisation. Alongside remaining technically hands-on, you’ll manage and develop a small team of Data Engineers.
Key Responsibilities
- Own the reliability, security, and ongoing development of the data platform.
- Modernise the existing SQL Server, SSIS/SSDT, and Power BI environment.
- Develop scalable batch and real-time data-processing solutions.
- Lead the design of a Customer Data Platform.
- Build and evolve a lakehouse architecture using AWS technologies.
- Create governed semantic models, consistent metrics, and clear data definitions.
- Enable secure, self-service data analysis using modern AI tooling.
- Automate manual, repetitive, or fragile data processes.
- Support BI, Data Science, Machine Learning, and Applied AI teams.
- Take ownership of data governance, security, monitoring, and platform costs.
- Line-manage, develop, and help grow the Data Engineering team.
- Work closely with technical, operational, and senior business stakeholders.
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Skills and Experience
We’re looking for an experienced Data Engineer who has built and operated complete data platforms rather than solely delivering individual components.
You’ll need experience across:
- Batch data processing, ELT, and orchestration.
- Modern streaming technologies such as Flink or comparable platforms.
- AWS data services, including S3, Lambda, Glue, Athena, Kinesis, and RDS.
- Infrastructure as code using Terraform.
- CI/CD and automated testing.
- Lakehouse architecture and open table formats such as Iceberg.
- Medallion architecture and dimensional data modelling.
- Strong SQL and Python.
- SQL Server, SSIS/SSDT, and Power BI.
- Semantic layers, common metrics, and data glossaries.
- Data governance, lineage, retention, classification, and auditability.
- Managing and developing a small technical team.
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You should also be comfortable using advanced AI coding assistants, such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance, and security.
Desirable Experience
- Regulated environment.
- PySpark for large-scale data transformations.
- Migrating legacy data 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.
The Opportunity
This is a genuinely influential role where you’ll own the data platform end to end and help shape how data and AI are used across the organisation.
You’ll have the scope to introduce modern technologies, remove unnecessary manual work, and build a platform capable of supporting future products, analytics, and business decision-making.
Salary: Circa £85K
Location: Manchester
Working pattern: Hybrid
Lead Data Engineer - Manchester
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