Lead Data Engineer

Job Description

About the job

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!