12 months ago
London, United KingdomStaff+
Responsibilities
- Define and implement cloud-native data strategies and secure, maintainable data platforms.
- Design and build scalable data storage, transformation, orchestration, and pipeline solutions.
- Deploy and manage data platforms, pipelines, infrastructure, environments, monitoring, logging, and vulnerability checks.
- Advise stakeholders, Delivery Managers, Product Managers, Business Analysts, and User Researchers on data and technical solutions.
- Translate ambiguous user and client needs into effective data solutions within multidisciplinary delivery teams.
- Contribute to recruitment, mentoring, talent development, presentations, knowledge sharing, and potential line management.
- Support organic account growth through senior-stakeholder engagement and a commercial mindset.
Requirements
- Demonstrated delivery of a production-ready data platform on one or more occasions.
- Proficiency in Python and one or more major cloud platforms, including AWS, Azure, or GCP.
- Experience building and managing large-scale data transformation workflows, serverless pipelines, and batch ETL systems.
- Experience managing PII and sensitive information in compliance with data legislation.
- Understanding of data lakes, data warehouses, data lakehouses, unified schemas, and diverse data types.
- Experience with testing strategies, including unit, integration, and data-quality testing, plus an understanding of SOLID and DRY principles.
- Experience with GitHub or Bitbucket, infrastructure as code preferably using Terraform, and CI/CD pipelines.
- Knowledge of Apache Spark or similar analytics frameworks, transformation and orchestration tools, databases, schema-management libraries, storage formats, and containerisation.
- Experience deploying data platforms and pipelines and estimating cloud service costs.
- Consultancy, stakeholder engagement, agile delivery, cross-functional collaboration, mentoring, and knowledge-sharing skills.
- Desirable: public sector experience, specialised financial or geospatial data platforms, pair programming, and productionising machine learning deliverables with data scientists.
- Eligibility for SC security clearance is required; eligibility includes five years of continuous UK residency and five years of employment history or full-time education.
Benefits
- 30 days of paid annual leave.
- Flexible parental leave.
- Part-time remote working for all staff.
- Paid counselling plus financial and legal advice.
- 7% employer-matched pension.
- Flexible benefits platform with Smart Tech, Cycle to Work, health care cash plan, and pension options.
- Optional social and wellbeing events, communities of practice, and employee interest and identity groups.
Categories
Data Engineering
About Made Tech
Made Tech designs, builds, and operates digital services for the UK public sector, including central government, local authorities, and the NHS. Its consulting-led model covers agile delivery, cloud engineering, DevOps, and bespoke software across technologies like Ruby on Rails, Node.js, and Go. Founded in 2012 and headquartered in London, the company is publicly listed and has delivered services such as Homes for Ukraine and digital access to NHS support.