> Markdown version of [/jobs/ext/3743115-software-developer](https://www.wearedevelopers.com/jobs/ext/3743115-software-developer). 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). --- # Software Developer - **Company:** MThree - **Location:** Boldon Colliery, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Apache HTTP Server, Microsoft Basic Data Partition, Cyber Security, Data Warehousing, Database Applications, DevOps, Fraud Prevention and Detection, Monitoring of Systems, Identity and Access Management, Python (Programming Language), SQL Databases, Management of Software Versions, Workflow Management Systems, Jupyter Notebook, Data Processing, Gitlab, SC Clearance, Pyspark, Deployment Automation, Cloudwatch, Terraform, Software Version Control, Docker - **Published:** October 15, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/software-developer/51938391 ## About the Role Understanding of data processing using Apache Sparkand Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify root cause of issuesand familiarity with basic data structures for constructing a solution Understanding of dimensional data models and slowly changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB and LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption Use of GitLab for source code management pipelines for CI/CDand GitLab Tags for component versioning in shared repositories Understanding of Docker and containerization of solutionsandIaC using Terraform Experience of understanding how customer expectations transition to applied functionality Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments ## Description Permanent | Hybrid (willing to travel to Newcastle)| Python| Data | SC cleared and BPSS At Peregrine, were always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector we are always in search of the best talent to place, now. The Role: We are looking for Software Developers with strong Python and AI experience responsible to lead the design, development, and operation of data-driven applications and pipelines in a collaborative Dev and DevOps environment. The Software Developer role focuses on writing and improving application code while working closely with DevOps engineers to support automated deployments, infrastructure management, system monitoring, reliability, and scaling. The Software Developer collaborates with Product Owners, Business Analysts, and users to translate business needs into robust technical solutions, operates and improves production services, analyses data and system issues to identify root causes, and champions engineering best practices. The Software Developer will also provide technical leadership through coaching and mentoring junior colleagues and contributing to continuous improvement across development, delivery, and operational processes. Responsibilities: Software Developers will contribute to research, development and delivery across: Design, build, and operation of data ingest and publishing pipelines Workflow orchestration and task scheduling using managed services Collaboration with Product Owners, Business Analysts, and users to shape technical solutions Production support, monitoring, and continuous improvement of system resilience, stability, and performance Data analysis and investigation to identify root causes of defects and operational issues DevOps collaboration, including supporting automated deployments, infrastructure management, monitoring, and scaling Coaching and mentoring junior engineers and promoting engineering best practices