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- Work closely with the CTO & the Data and Reporting Manager to define and implement the short & the long-term strategies around Data & MI reports.
- Communicate effectively with internal customers and third parties.
- Analyse both large and complex reporting requirements.
- Collaborate effectively with Product Owners, Developers, Designers, DevOps Engineers, and the wider business.
- Hands-on development of MI & BI reports for the various business units.
- Work with four other Data Engineers / Reporting Developers, and the Data and Reporting Manager.
- Support, mentor and help the more junior members of the team.
- Test and cross validate reports for accuracy and integrity.
- Perform regular, technical reviews of your team’s work.
- Analyse and recommend enhancements to the MI reports, processes, and standards.
- Assist with resolution of support issues.
Requirements
- 4+ years of experience as a Data Engineer or on a similar role.
- Extensive experience with SQL, Amazon Redshift & ideally MySQL.
- Extensive experience with visualisation tools, ideally with Amazon QuickSight.
- Experience with AWS Glue and the ability to write Python scripts, e.g. for ETL.
- Experience developing ETL & ELT processes from multiple data sources & types.
- Experience working in a collaborative Agile environment.
- Mentoring skills for the less experienced members of the team.
- Practical experience with JIRA & Confluence.
- Self-motivated, proactive, independent thinker, with a “can do” mentality.
- Team player.
- Inquisitive with a desire to learn and use new technologies.
- Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight.