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, 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.
• 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 & QuickSight.