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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Schroders - **Location:** London, UK - **Salary:** £65,231.0 - **Contract:** Permanent contract - **Skills:** Active Directory, Artificial Intelligence, Amazon Web Services, Amazon S3, Code Review, Cyber Security, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Data Warehousing, Identity and Access Management, Python (Programming Language), Machine Learning, Operational Databases, Role-Based Access Control, Power BI, Ansible, Software Engineering, SQL Databases, Workflow Management Systems, GitHub Copilot, Claude Code, Snowflake, Data Strategy, Git, Kubernetes, Information Technology, Apache Nifi, Data Management, Multiaccess Edge Computing, Streamlit Framework, Software Version Control, Data Pipelines, Docker, Servicenow - **Published:** October 15, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5927177758 ## About the Role We are seeking a Data Platform Engineer to join our team within Security and IT Infrastructure Services. This is a hands-on engineering role with real ownership, for someone with proven data engineering experience who wants to shape how a data platform is designed, built and kept healthy., * Data engineering experience, including hands-on work on a production data platform at scale * Strong Snowflake experience, including RBAC, tasks and streams, secure views and masking, and performance and cost management * A solid understanding of data warehousing and data modelling, including layered architectures and incremental loading * Strong Python and SQL, with experience building production-grade data pipelines * Experience building monitoring, alerting and data quality checks for data platforms, and supporting them in production * Experience applying software engineering best practice, such as version control with Git, code review, testing and CI/CD, in a regulated environment * A good understanding of data governance, security and access management, including privileged access and handling sensitive data * Experience producing solution designs, explaining technical trade-offs and reviewing others' work The knowledge, experience and qualifications that will help * Ingestion and orchestration tools such as Ansible, Apache NiFi or Cribl * Docker, Kubernetes and AWS services such as S3, Lambda, Step Functions and SageMaker * Working with Cyber Security and Infrastructure data, such as ServiceNow, Entra ID and Active Directory * Applying machine learning or AI to operational problems, such as anomaly detection * AI-assisted development with tools such as GitHub Copilot and Claude Code * Streamlit and Power BI * A Snowflake or architecture certification, such as SnowPro Core or AWS Solutions Architect What you'll be like * A curious, pragmatic problem-solver who fixes root causes, not just symptoms. * A systems thinker who considers how each change affects the wider platform and its users. * A drive to automate, with little patience for doing the same manual task twice. * Confidence explaining technical decisions to technical and non-technical audiences. * A commitment to sharing knowledge and helping others in the team grow. ## Description You will look after the platform and the pipelines that feed it, and build the monitoring and automation that keep it trustworthy, so that issues are caught and fixed before they affect users. You will work independently and help shape the team's technical direction through solution design, engineering standards and mentoring., We combine deep technical expertise with a data-driven mindset to proactively identify risks, uncover operational inefficiencies, and support strategic initiatives. We champion innovation and excellence, leveraging cutting-edge analytics, automation, and visualisation tools to deliver insights that matter. As part of the Security & IT Infrastructure Services, we collaborate closely with teams across Cyber Security, Technology Risk, and IT Infrastructure Services to ensure delivery of secure Infrastructure services. What you'll do Data platform * Own and evolve the team's Snowflake data platform, keeping it reliable, performant and cost-effective, and making sure changes reach production safely * Design data models and data products that are well documented, reusable and easy for others to build on * Manage access to the platform and protect sensitive data, applying least-privilege and data governance principles Monitoring and reliability * Build clear visibility into platform and pipeline health, data freshness, quality and cost, giving the team the information it needs to act early * Apply statistical and machine-learning techniques to spot unusual data patterns, including issues that may otherwise go unnoticed * Automate detection, alerting and safe recovery of common issues, and give the wider team the tools to investigate and fix problems themselves * Trace how data is used downstream, so affected users can be alerted when freshness or quality issues arise * Lead the investigation and resolution of production issues, fixing root causes so that problems do not recur Data engineering * Design, build and operate reliable, scalable data pipelines across the team's ingestion and orchestration tools * Onboard new data sources from across Cyber Security and IT Infrastructure, choosing the right ingestion and loading pattern for each * Turn security and infrastructure data into data products that help the business understand and reduce risk Architecture and technical leadership * Help shape the platform's architecture and lead the design of new data solutions, weighing up options, trade-offs and risks * Work with teams across Technology to understand their needs and keep the platform aligned with Schroders' wider data strategy and standards * Promote engineering best practice across the team, contribute to its standards and mentor more junior engineers