We're looking for MDM Data Engineer with strong
understanding of Master Data Management (MDM) concepts and principles that can
build data pipeline orchestrations and workflows in Airflow. Shoule be able to
develop models, build data products, and perform transformations using
DBTPerformance optimizations across data pipelines, SQL, and BigQuery, High
quality documentation, ability to operate independently, and collaborate with
cross-functional technical and non-technical teams globally, produce consistent
high quality code accelerated by Al Core Technical Requirements
Key Required skills
- Proficient in Python, and DBT (DBT Fusion is
highly preferred over DBT Core)
• Build, deploy, and maintain Airflow DAGs for
ingestion, data processing, and orchestration Strong hands-on SQL capability
in crafting efficient, performant, and cost-effective queries
• Extensive experience working in GCP BigQuery
• Strong data modelling expertise
• Strong background on data governance
• CI/CD experience e.g. GitHub, Bitbucket, GitHub
Actions, Bamboo, ArgoCD
• Solid understanding of Secure by design
principles
• Experience working in AWS Cloud
• Experience
with AWS Redshift, Snowflake
Requirements
Success MetricsMetrics
• Flexibility of working hours where needed
• Experience working within Agile delivery
framework
• Use of JIRA and Confluence for task management
and documentation
• Relevant working experience in Financial
Services e.g. Banking and Financial Services, Fund Management, Investment
Management
• Strong understanding of Master Data Management
principles
• Experience working in an MDM Platform
• 5 to 10 years of experience as a Data Engineer
• Strong
problem-solving and communication skills
• Robust Risk Management mindset
• Strong understanding of Change, Incident, and
Problem Management
• Ability to collaborate with both technical and
non-technical stakeholders globally
• Ability
to delivery quality output independently with minimal oversight