Staff Engineer Data
Staff Engineer Data
- Developing and maintaining high-performance code based on SQL Server stack, including Stored Procedures, Views, Functions, and table design for transactional and analytic purposes.
- Developing and maintain Extract Transform Load jobs (ETL/ELT) and other data integrations
- Developing new data solutions and migrate existing on-premise data solutions to cloud platforms such as Azure or GCP
- Mentoring and assist with the technical development of teammates, assist with code and technical reviews
- Participating in backlog grooming and other agile cerimonies as a technical lead
- Creating Continuous Integration and Continuous Delivery (CI/CD) pipelines to automate delivery of solutions
- Providing support for data solutions, including remediation of failed ETL jobs, integrations and investigation of data quality issues.
- Data modeling for transactional and analytical platforms.
- Working directly with stakeholders to gather requirements and provide status updates and solution support
- Ensuring data solutions meet or exceed enterprise regulatory and compliance requirements
- Benefits that support Team Member health and financial wellbeing, including eligibility to an Employee Assistance Programme giving employees 24 hour access to unlimited 1-2-1 counselling, wellbeing support and guidance
- Hotel discounts for Team Members, family and friends
- An open-minded culture committed to diversity and inclusion
- Career Progression through online learning and training programmes
- Encouraging networking with colleagues
- Access to discounts and savings across major retailers through our perks at work scheme
- Microsoft SQL, service or equivalent RDBMS
- Building data integrations leveraging ETL tools such as SSIS or databricks
- Proven knowledge of data integration patterns including ETL/ELT, event messaging and APIs
- Familiarity with database change capture tools including change tracking and change data capture
- Familiarity with data modelling patterns for OLAP and OLTP workloads
- Familiarity with Master Data Management concepts and platforms
- Familiarity with data product Software Development Lifecycle (SDLC)
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
- Experience with Microsoft SQL stack
- Experiencing with an Enterprise Architecture and Service Delivery model, such as TOGAF and ITIL
- Certification in a cloud data engineering curriculum
Reference: 52469389
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