Data Platform Engineer
SSE Academy24 days ago
Skelmersdale, United KingdomMid Level
Responsibilities
- Administer, maintain and optimise Microsoft SQL Server and Azure SQL environments.
- Monitor database and platform performance and improve queries, stored procedures, functions, views and indexes.
- Support backup, recovery, maintenance, disaster recovery, high availability, replication and failover activities.
- Investigate incidents, perform root cause analysis and implement corrective actions.
- Support Azure SQL adoption and migration initiatives and contribute to PostgreSQL, TimescaleDB and Microsoft Fabric platforms.
- Maintain technical documentation and operational procedures.
- Collaborate with Software, Engineering and IT teams on releases and service improvements.
- Provide support for high-priority and occasional out-of-hours incidents when required.
Requirements
- Degree in Computer Science, Information Technology, Data Engineering or a related discipline.
- Experience supporting SQL Server databases and related infrastructure environments.
- Strong understanding of SQL, T-SQL, database objects and query optimisation techniques.
- Knowledge of indexing, execution plans and database performance tuning.
- Experience with backup, recovery, maintenance and disaster recovery processes.
- Understanding of Windows Server administration and Microsoft Azure services.
- Strong troubleshooting, problem-solving, analytical and cross-team communication skills.
- Experience with PostgreSQL, TimescaleDB, Azure SQL, PowerShell scripting or Microsoft Fabric is advantageous.
- Proactive willingness to learn and develop technical skills across modern data and cloud platforms.
Benefits
- Opportunity to work with modern data technologies in a collaborative engineering environment.
- Opportunity to develop expertise across cloud, database and data engineering disciplines.
- Opportunity to contribute to platform modernisation initiatives and shape future data capabilities.
- The role is based in Skelmersdale, Lancashire and includes occasional out-of-hours incident support when required.
Tech Stack
Categories
Data Engineering