Data Engineer

📋 Description

• Configure Precisely Data Integrity Suite and connect to Snowflake and other data sources; perform
• Work with Snowflake roles, grants, warehouses, scaling, and compute optimisation to balance
• Support AWS services including EC2, S3, and Amazon Bedrock that underpin the data platform.
• Develop and maintain semantic types and rules to identify PII and sensitive data while improving
• Develop Python scripts and API-based automation to manage metadata and data assets at scale.
• Maintain the Business Glossary, Acronym Bible, Data Dictionary, and associated metadata.

🎯 Requirements

• 4+ years of experience with Snowflake and database technologies.
• Hands-on experience with AWS, particularly EC2 and S3.
• Experience with data governance, data quality, metadata, lineage, and PII classification.
• Strong Python and API automation skills.
• Experience with Precisely Data Integrity Suite or similar tools is desirable.
• Strong analytical, troubleshooting, and stakeholder management skills.

🎁 Benefits

• Safe home pickup and home drop.
• A regular bonus and great pension.
• 24 days annual leave.
• Extra paid leave, including wellbeing and development days.
• Life assurance and Income Protection.
• Private healthcare and wellbeing support.