> Markdown version of [/jobs/ext/3710342-data-software-engineer-python](https://www.wearedevelopers.com/jobs/ext/3710342-data-software-engineer-python). 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). --- # Data Software Engineer - Python - **Company:** Sainsbury’s Group - **Location:** London, UK - **Salary:** £67,808.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, Code Review, Computer Programming, Data as a Services, Information Engineering, Data Infrastructure, Data Transformation, Data Warehousing, Database Queries, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Network Security, Software Engineering, Cloud Platform System, Azure Data Factory, Delivery Pipeline, Snowflake, Technical Debt, Containerization, Deployment Automation, Data Programming, Data Management, Machine Learning Operations, Terraform, New Relic (SaaS), Software Version Control, Data Pipelines, Docker, Databricks - **Published:** October 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5925485148 ## About the Role * Strong programming skills in Python including package and environment management * Strong software engineering skills (experience of writing maintainable, tested code with proper error handling and documentation) * Strong proficiency in cloud platforms (AWS and/or Azure) with good understanding of data services, networking, and compute infrastructure * Strong SQL skills * Good working experience with infrastructure as code using Terraform, including resource creation, module usage, and state management * Familiarity with containerization (Docker) and basic container orchestration concepts * Knowledge in platform security practices including IAM, encryption, and network security basics Desirable * Knowledge of data warehouse and lakehouse technologies (Snowflake, Databricks) * Awareness of FinOps principles and cloud cost optimization * Experience supporting multiple teams or use cases with shared platform capabilities * Experience building and maintaining CI/CD pipelines using GitHub Actions, including workflow creation, automation, and deployment processes * Working knowledge of data transformation tools, particularly DBT, including model development and testing * Understanding of data pipeline orchestration tools (Airflow/Astronomer/Azure Data Factory) * Experience with observability and monitoring tools including New Relic or similar platforms * Background in software development or platform engineering with focus on automation and quality * Experience participating in incident response or system troubleshooting activities ## Description We are looking for a strong python engineer who builds, tests, and maintains data platform capabilities that enable teams across Sainsbury's to leverage data and AI effectively. Implements infrastructure as code using Terraform and CI/CD pipelines via GitHub Actions to ensure reliable, repeatable deployments across data workloads. Does what they say they will do by delivering quality platform components and shows care for colleagues by creating well-documented, accessible solutions that make data engineering simpler and more efficient. This is a hands-on engineering role requiring strong technical expertise, ownership of end-to-end delivery, and the ability to mentor other engineers and promote engineering best practices. What I am accountable for * Build and maintain data platform capabilities including data ingestion pipelines, transformation frameworks (DBT), monitoring solutions, and governance controls following established patterns and technical standards. * Implement infrastructure as code using Terraform, deploying and managing cloud resources for data platforms across environments with guidance from senior engineers and adherence to configuration standards. * Develop and maintain CI/CD pipelines using GitHub Actions, implementing automated testing, deployment workflows, and operational automation for data pipelines. * Configure and maintain observability and monitoring using New Relic and other tools, implementing instrumentation, alerts, and dashboards for data pipelines and ML systems based on established patterns. * Contribute to platform capabilities that support data transformation (DBT), pipeline orchestration (Airflow/Astronomer), MLOps workflows including model versioning and deployment automation and much more * Support platform users including data engineers, ML engineers, data scientists, and analysts by troubleshooting issues, providing technical guidance, and creating clear documentation. * Participate in code reviews and knowledge sharing activities, learning from senior engineers and contributing to team capability through documentation and peer collaboration across data domains. * Identify and escalate technical debt, performance issues, and operational problems in data platforms, working with senior engineers to implement fixes and improvements. * Respond to incidents affecting platform services, supporting diagnosis and resolution of infrastructure issues, pipeline failures, and performance degradation under guidance from senior team members., * Take ownership of assigned platform components and features across data infrastructure, ensuring they work reliably and proactively monitoring for issues within your scope of responsibility * Deliver on your commitments to the team and platform users, completing tasks within agreed timelines and communicating early when you need support or face blockers * Maintain high standards for your infrastructure code and pipelines, implementing tests, creating documentation, and responding constructively to code review feedback to ensure quality * Don't walk past problems you can fix, addressing technical issues within your capability in data platforms and escalating appropriately when support from senior engineers is needed Make it better * Look for ways to improve the platform capabilities you work on, suggesting optimizations for performance, cost, reliability, or user experience based on your observations and measurements * Contribute to better developer and data scientist experience by creating clear documentation, reusable infrastructure modules, and helpful automation that make it easier for teams to work effectively * Focus on user impact in your work, understanding how the platform features you build affect data engineers, data scientists, and analysts, and seeking to improve their experience * Identify inefficiencies in platform workflows and operational processes, proposing improvements and learning from senior engineers about better approaches and practices Be human * Work collaboratively with diverse users including data engineers, data scientists, and analysts, seeking to understand their requirements and asking clarifying questions to ensure you implement solutions that meet their needs * Learn from senior Data Software Engineers with openness and curiosity, actively seeking feedback on your infrastructure code and implementations and applying guidance to develop your technical skills and judgment * Communicate clearly and honestly about your progress, challenges, and learning needs, building trust through transparency, reliability, and willingness to ask for help when needed * Support your teammates and platform users by being responsive to questions, sharing what you learn, troubleshooting issues with patience, and contributing positively to team culture through respectful and considerate interactions We are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them