Senior Data Engineer: Cloud, ETL & NLP Lead

UK Home Office

Sheffield

Hybrid

GBP 56,000 - 69,000

Full time

10 hours ago
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Benefits offered by this job

Civil Service Pension
25 days annual leave
8 public holidays
Hybrid work 60% in office

Job summary

The UK Home Office is seeking a Lead Data Engineer for the National Data Quality Improvement Service (NDQIS) to design, deliver, and support end-to-end data solutions. You will translate business requirements into robust pipelines, ensuring governance, security, and reliability across data integrations and automated workflows.

You will drive the data engineering vision, promote best practices, and lead a team to build scalable data products while collaborating with analysts and stakeholders to

Qualifications

  • Design, deliver and support end-to-end data solutions for data-driven decision making.
  • Translate business requirements into robust, scalable data pipelines with governance and security in mind.
  • Lead data integrations, ETL processes and automated workflows from multiple sources.

Responsibilities

  • Manage data sources to improve quality and preparation for analysis.
  • Develop and support complex data workflows and large-scale data products across the delivery lifecycle.
  • Lead stakeholder engagement and manage expectations while fostering a data-focused service culture.
  • Ensure data privacy and information security standards are met in solutions.

Skills

Python
NLP
API integration
SQL
Data analysis

Tools

AWS
Docker
Git
Github
CI/CD pipelines
Python-based automation

Job description

The UK Home Office is seeking a Lead Data Engineer for the National Data Quality Improvement Service (NDQIS) to design, deliver, and support end-to-end data solutions. You will translate business requirements into robust pipelines, ensuring governance, security, and reliability across data integrations and automated workflows.

You will drive the data engineering vision, promote best practices, and lead a team to build scalable data products while collaborating with analysts and stakeholders to

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