Senior Data Engineer

Your Role

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, Dev Ops 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 Quick Sight.

Experience with AWS Glue and the ability to write Python scripts, e.g. for ETL.
Excellent data modelling skills.
Experience developing ETL & ELT processes from multiple data sources & types.
Experience in dashboard design and development.
Experience working in a collaborative Agile environment.
Mentoring skills for the less experienced members of the team.
Practical experience with JIRA & Confluence.
Excellent communication skills.
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 & Quick Sight