About this role
We are seeking a highly experienced Data Engineer Lead with extensive expertise in designing, building, and managing scalable data solutions. The ideal candidate will have a strong background in Google Cloud Platform (GCP) services, particularly BigQuery, and significant hands-on experience with data pipelines, ETL/ELT processes, and data architecture. This role requires a strategic thinker who can lead complex data engineering projects and mentor junior team members.
Key Responsibilities:
- Design and implement scalable data solutions using GCP and BigQuery.
- Lead the development of data pipelines and ETL/ELT processes.
- Collaborate with cross-functional teams to define data architecture and strategy.
- Mentor and guide junior data engineers in best practices and methodologies.
- Ensure data quality and integrity across all data solutions.
- Stay updated with the latest trends and technologies in data engineering and cloud services.
Required Skills & Qualifications:
- Proven experience with Google Cloud Platform (GCP) and BigQuery.
- Strong background in data architecture and data engineering principles.
- Proficiency in programming languages such as Python or Java.
- Experience with data modeling and database design.
- Excellent problem-solving skills and attention to detail.
- Strong communication and leadership abilities.
Experience:
- 10-15 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on cutting-edge technology projects.
- A collaborative and innovative work environment.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.