> Markdown version of [/jobs/ext/4159604-senior-data-engineer-sc-cleared](https://www.wearedevelopers.com/jobs/ext/4159604-senior-data-engineer-sc-cleared). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer- (SC Cleared)

- **Company:** VE3
- **Location:** Maidenhead, UK
- **Experience:** Expert
- **Salary:** £51,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Databases, Continuous Integration, Data Deduplication, Information Engineering, Extract Transform Load (ETL), Data Profiling, Data Stores, Document-Oriented Databases, Monitoring of Systems, Python (Programming Language), Knowledge Management, Metadata, Enterprise Search, Data Processing, Data Ingestion, Sql Optimization, Build Management, Semi-structured Data, Enterprise Integration, Software Version Control
- **Published:** October 31, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5947293543

## About the Role

* Strong commercial experience in a senior data engineering role, delivering production-grade pipelines and integration solutions.
 * Advanced SQL and practical Python or equivalent scripting capability; experience with ETL/ELT, APIs and structured/semi-structured data.
 * Proven data profiling, mapping, deduplication, validation, reconciliation and exception-handling skills.
 * Experience with relational and/or document data platforms, version control, automated testing and CI/CD practices.
 * Ability to collaborate with information architects, solution architects, analysts and business stakeholders.
 * Clear technical communication, documentation and delivery discipline in security-conscious environments.

Desirable experience

 * Metadata catalogues, information/knowledge management platforms or enterprise search integration.
 * Data-quality scorecards, lineage tooling and scalable orchestration/monitoring techniques.
 * Experience working with formal information standards and assurance processes in regulated environments.

Expected contribution

An auditable ingestion capability, a reconciled and quality-controlled initial dataset, reusable validation controls, and documented processes that operational teams can maintain.

## Description

* Data ingestion. Design and build repeatable pipelines for bulk and incremental ingestion from files, databases, APIs and other approved sources.
 * Data standardisation. Profile, cleanse, deduplicate, transform and map heterogeneous records to an agreed information and metadata schema.
 * Quality and control. Implement automated validation, reconciliation, exception management and measurable data-quality checks.
 * Traceability. Maintain source-to-target mappings, provenance, ownership, lineage and auditable change records.
 * Secure engineering. Apply least-privilege access, secure processing, controlled environments, testing and appropriate information handling.
 * Integration and performance. Work with architects to optimise data stores, integration interfaces, load performance and reliable updates.
 * Sustainable operations. Produce runbooks, monitoring guidance and documentation; transfer ingestion and support knowledge to operational teams.