> Markdown version of [/jobs/ext/3667523-senior-software-engineer-sc-cleared](https://www.wearedevelopers.com/jobs/ext/3667523-senior-software-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 Software Engineer - SC Cleared

- **Company:** Searchability
- **Location:** Leeds, UK (Remote available)
- **Experience:** Expert
- **Salary:** £57,390.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Airflow, Amazon Web Services, Automation of Tests, Unit Testing, Microsoft Azure, Databases, Continuous Integration, Data Architecture, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Parquet, Data Logging, Git, Pandas, Data Lakes, Infrastructure Automation Frameworks, AWS Glue, Data Management, Terraform, Docker
- **Published:** October 10, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5920435581

## About the Role

* Strong Python skills
 * Experience with AWS, Azure or GCP
 * Understanding of ETL/ELT and modern data architectures
 * Experience with SQL and database technologies
 * Knowledge of CI/CD, Git and Infrastructure as Code
 * Experience with automated testing and data quality
 * Strong communication and stakeholder management skills

Desirable: Consultancy or public sector experience, Docker, Airflow, machine learning/data science, geospatial data and pair/mob programming.

## Description

You'll take a hands-on role designing, building and maintaining scalable data solutions, while working closely with clients and supporting the development of other engineers.

 * Build and maintain scalable data platforms and pipelines
 * Develop solutions using Python and AWS, Azure or GCP
 * Work across ETL/ELT, batch and streaming data
 * Build and work with data lakes and data warehouses
 * Implement data quality, unit and integration testing
 * Use Git, CI/CD and Terraform
 * Implement monitoring, logging and alerting
 * Work with technologies such as Airflow, AWS Glue, Pandas, Pydantic and Parquet
 * Work directly with clients and technical stakeholders
 * Mentor and support other engineers