Data Engineer

Searchability NS&D; Greater London; Hybrid; GBP 68.000 - 83.000; Vollzeit

Benefits dieser Stelle

Annual leave: 30 days

Pension: 6%

Zusammenfassung

Searchability NS&D in London is seeking a Security-Cleared Data Engineer to join a growing public sector technology consultancy. The role is hybrid with a London location and requires active SC clearance.

You will build scalable data platforms and pipelines using Python, AWS and modern engineering practices, delivering batch and streaming ETL/ELT solutions. Mentoring and technical leadership may be needed to drive outcomes.

Qualifikationen

• Experience building scalable data platforms and pipelines.
• Proficiency with Python, AWS, Git and CI/CD.

Aufgaben

• Build and maintain scalable data platforms, pipelines and services.
• Develop robust Python-based data solutions using modern engineering practices.
• Deliver batch, streaming, ETL/ELT and data transformation solutions.
• Implement CI/CD, IaC and DataOps across production environments.
• Translate client requirements into technical solutions and measurable outcomes.
• Provide technical leadership and mentoring when required.

Kenntnisse

Cloud engineering

Data pipelines

Testing

CI/CD

Jobbeschreibung

New Permanent Opportunity for a Security-Cleared Data Engineer

• London customer location – hybrid working model
• Active SC required
• Up to £75k DoE + 6% pension, 30 days leave
• Experience in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC

Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You’ll take on complex, hands‑on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered.

Key Responsibilities:

• Build and maintain scalable data platforms, pipelines and services.
• Develop robust Python-based data solutions using modern engineering practices.
• Deliver batch, streaming, ETL/ELT and data transformation solutions.
• Implement CI/CD, IaC and DataOps across production environments.
• Translate client requirements into technical solutions and measurable outcomes.
• Provide technical leadership and mentoring when required

Key Skills Required:

• AWS / Azure – practical cloud engineering
• Data Engineering – pipelines, ETL/ELT and data transformation
• Testing – unit testing, PyTest and integration testing
• CI/CD & DevOps – automated deployments and production environments