Programme Length
18-24 Months
Apprenticeship Level
Level 3
Year Group
Year 12 / Year 13
Description
This role is a Level 3 Data Technician Apprenticeship which is a work based qualification combining practical training in a job and study.
You will:
- Be part of a data engineering team and learn from others
- Learn about data sets involved in the asset management industry
- Learn Agile development process
- Learn about cloud and on-premise database technology such as Databricks, Snowflake and SQL Server
- Learn to login to and traverse a database and identify data objects
- Learn to investigate data using SQL (Structured Query Language)
- Learn about other components in the data science eco-system such as Python, how to access log reports and scheduling software
- Learn to use Jira, source code control repository and release software components to other environments
- Communicate with end users and provide explanations using data
- Carry out other duties as assigned
What to expect when you join our firm:
- Hybrid working and reasonable accommodations
- Generous Holiday policies
- Excellent Health and Wellbeing benefits including corporate membership to ClassPass
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- All-inclusive approach to Diversity, Equity and Inclusion
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- All employee events including networking opportunities and social activities
- Lunch allowance for use within our subsidized onsite canteen
Must have skills:
- Numerate with A level Mathematics or equivalent qualification
- Good command of English (written and verbal)
- Keen learner and interested in investigating data
- Enjoys being part of a team
- Attention to detail
- Enjoys problem solving
Nice to have skills:
- Comfortable communicating with users and other teams
- Advantageous to have some computer programming experience
- Exposure to database technology and SQL
Potential for growth:
- Mentoring
- Leadership development programs
- Regular training
- Career development services
- Continuing education courses