Analytium Ltd is a boutique UK data and analytics consultancy focused on SAS modernisation, cloud data platforms, and BI, delivering enterprise programmes for major clients including a UK tier-one bank. We win that work because we build our own accelerators rather than throwing people at problems.
We have built a genuinely good analytics accelerator that parses SAS estates, builds table and attribute-level lineage across hundreds of thousands of records, and reconciles migrations. It lives on a laptop. It is not deployed, not shareable, and the interface does not do the engineering underneath it justice.
This person fixes that, and then owns it. It is not a greenfield role; most of the work is taking an existing, working thing and making it production-grade.
Requirements
Required Qualifications
- Experience personally taking an application from working prototype to production and then operating it for real users
- Full-stack Python experience, from database calls through to user-facing interfaces, with hands-on experience building and deploying containerised applications and strong working knowledge of Docker and Kubernetes to run applications reliably
- Strong database integration and data modelling experience, including connection pooling, JDBC/ODBC behaviour, query performance troubleshooting, and a solid understanding of large-scale database and data warehouse systems at volume
- Hands-on experience with PostgreSQL
- Strong front-end and UX capability, with evidence of designing an interface that non-authors can use effectively
- Experience with CI/CD, release automation, and a Git-based workflow as standard practice
- Networking fundamentals to debug connectivity issues inside locked-down enterprise environments
- Experience working day to day with internal engineers and client engineering or platform teams to agree deployment constraints, navigate security review, and explain technical trade-offs