Lead Data Engineer
Lead a team building and maintaining scalable data pipelines using AWS (S3, Athena, Redshift, Glue) and Python/Java to integrate diverse data sources for government analytics and reporting.
- Compensation
- £60.3K–£80.4K / yr
- Location
- Glasgow, United Kingdom
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Proven experience leading data engineering teams and delivering technical solutions
- Strong background in cloud data platforms, especially AWS (Redshift, Athena, EC2, IAM, Lambda, CloudWatch)
- Proficiency in automation tools and languages (e.g., GitHub/GitLab, Python, Java).
- Skilled in stakeholder engagement and translating requirements into actionable insights.
- Ability to present complex data concepts to both technical and non-technical audiences.
- Experience with ETL tools, orchestration, and data troubleshooting.
Full description
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Lead Technical Recruiter (Cyber Security, Data & IT Operations) @ UK Home Office | HR, Recruiting, Hiring
Location: Glasgow (60% office/40% remote)Salary: £60,300 plus a capability and skills allowance of up £20,100
Home Office Data Services and Analytics (DSA) leads the build of data products to integrate data from multiple sources, and then deliver products for business intelligence, reporting and data science. DSA has the ambition to be one of the leading providers of insight services in UK Government and is currently growing significantly with over 300 colleagues, providing services to variety of functions within the Home Office.
We’re hiring Lead Data Engineers to guide teams in building and maintaining complex data pipelines. These pipelines ingest and transform data from diverse sources (e.g., email, CSV, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet) using AWS technologies such as S3, Athena, Redshift, Glue, and programming languages like Python and Java (Docker/Spring).What You’ll Do
- Lead the design and development of scalable data pipelines and ETL processes
- Collaborate with analytics teams to map and model data for analysis.
- Manage stakeholder relationships, communicate progress, and align data solutions with business needs.
- Oversee team and supplier performance, balancing short-term goals with long-term strategy.
- Improve data acquisition, availability, and archiving processes
- Identify and resolve data quality and pipeline issues.
- One role includes leading a platform transition and upskilling team members (Oracle experience is a plus).
Please note for this role you will require to hold or obtain security clearance. To meet national security vetting requirements you will normally need to have been resident in the UK for at least 5 years.What We’re Looking for
- Proven experience leading data engineering teams and delivering technical solutions
- Strong background in cloud data platforms, especially AWS (Redshift, Athena, EC2, IAM, Lambda, CloudWatch)
- Proficiency in automation tools and languages (e.g., GitHub/GitLab, Python, Java).
- Skilled in stakeholder engagement and translating requirements into actionable insights.
- Ability to present complex data concepts to both technical and non-technical audiences.
- Experience with ETL tools, orchestration, and data troubleshooting.
We encourage applications from people from the widest possible diversity of backgrounds, cultures and experiences. We particularly welcome applications from women, people with disabilities and LGBT+ as they are currently under-represented in the Home Office at this grade level. Appointments will be made on merit on the basis of fair and open competition.