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Lead Data Engineer
4 months ago
My client is seeking a dynamic Lead Data Engineer with robust data architecture and warehousing skills to lead their Data Engineering team. Being a leading financial institution, data fuels their operations and growth. being pivotal in ensuring data is expertly modelled, ingested, transformed, and accessible organisation-wide.
Responsibilities:
- Team Leadership: Mentor and develop our Data Engineering team.
- Strategy Development: Shape and implement our data engineering strategy.
- Data Architecture: Define and implement solutions within our Data Vault framework.
- Cross-Functional Collaboration: Partner with data science, credit risk, and analytic teams to meet their data needs.
- Customer Data Platform: Manage our Rudderstack-based platform for comprehensive Customer 360 views.
- Quality Assurance: Ensure CI/CD and test automation with robust observability.
- Cost Management: Optimise data platform costs within budget.
- Supplier Management: Maintain strong relationships with suppliers like Snowflake, FiveTran, and dbt.
Requirements:
- Proven experience leading and mentoring data engineering teams.
- Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL.
- Extensive knowledge of data management and Data Ops (ingestion, pipelines, CI/CD).
- Strong project management skills in a fast-paced environment.
- Expertise in data architecture and modelling.
- Bonus: Experience with Data Vault 2.0.
- Analytical mindset with attention to detail.
- Enthusiastic about learning and thriving in a dynamic setting.
- Familiarity with dbt, Snowflake, Airflow, FiveTran, and Terraform.
Join and be part of a dynamic team driving innovation and excellence in data engineering