Data Engineer - SC Cleared

Searchability NS&D; Lancashire; Hybrid; GBP 68,000 - 83,000; Full time

Benefits offered by this job

6% pension

30 days leave

Job summary

Searchability NS&D is seeking a hands-on data engineering specialist to join our Manchester team in a hybrid role. You will build and maintain scalable data platforms and pipelines, delivering Python-based solutions for batch and streaming data, ETL/ELT processes and data transformations.

You will implement CI/CD, IaC and DataOps in production, translate client requirements into technical outcomes, and provide technical leadership where needed.

Qualifications

• Experience in Python development and data engineering.
• Hands-on experience with AWS or Azure.
• Proficiency with Terraform or IaC.
• Experience building data pipelines and ETL/ELT processes.
• Familiarity with testing (unit, PyTest) and CI/CD.

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.

Skills

Python

AWS/Azure

Data engineering

Terraform/IaC

Testing (PyTest)

CI/CD/DevOps

Tools

Terraform

PyTest

CI/CD tooling

Job description

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

Role Opportunity

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

• Python - strong hands-on development
• AWS / Azure - practical cloud engineering
• Data Engineering - pipelines, ETL/ELT and data transformation
• Terraform / IaC - infrastructure automation
• Testing - unit testing, PyTest and integration testing
• CI/CD & DevOps - automated deployments and production environments