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# Lead Data Engineer

- **Company:** Impactive IT
- **Location:** Leeds, UK
- **Experience:** Expert
- **Salary:** £70,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Databases, Data Architecture, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Security, Python (Programming Language), Standard Sql, Data Ingestion, Snowflake, Data Management, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815446633-lead-data-engineer

## About the Role

* 5+ years of experience in data engineering, management, data governance, or a related role.
 * Strong experience with data management tools, databases and cloud platforms (AWS, Snowflake).
 * Knowledge of data privacy laws and compliance requirements.
 * Familiarity with data modelling, ETL processes, and data architecture., * Strong Python / SQL coding skills including strong knowledge of Data Management tools (e.g. DBT).
 * Clear and structured thinking.
 * Excellent communication and stakeholder management abilities both internally / externally.
 * Attention to detail and a proactive approach to data integrity and security.
 * Ability to translate business needs into data management solutions.

## Description

* Lead/mentor a small team of 2-3 data engineers, fostering a culture of innovation and excellence.
 * Define and execute the data engineering strategy in alignment with business objectives.
 * Advocate for best practices in data engineering, governance, and security of data held by HF adhering to compliance with industry regulations (e.g., GDPR).
 * Architect, build, and maintain scalable, high-performance data pipelines.
 * Own data observability - ensuring data quality, consistency, and availability across the organisation.
 * Optimise ETL/ELT processes to support data ingestion, transformation, and warehousing.
 * Collaborate with Product and Consultancy teams to optimise data collection, storage, and retrieval.
 * Communicate technical concepts to non-technical stakeholders effectively.
 * Evaluate and implement emerging data technologies to improve efficiency and performance.
 * Conduct regular audits and assessments to identify and address data-related issues.


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