About this role
The team is seeking a Lead Data Engineer to join their Data Platform team. In this role, you will be instrumental in building and maintaining scalable data systems that support internal analytics, business intelligence, and customer-facing data features. You will lead the design and development of large-scale data systems, ensuring their architecture, scalability, and reliability.
Key Responsibilities:
- Lead the design and development of robust data systems.
- Mentor and guide engineers on best practices in data engineering workflows.
- Collaborate closely with cross-functional teams to understand data needs and deliver solutions.
- Implement data governance and quality standards to ensure data integrity.
- Drive continuous improvement initiatives to enhance data platform performance.
Required Skills & Qualifications:
- Strong experience with data architecture and engineering principles.
- Proficiency in programming languages such as Python or Java.
- Experience with big data technologies like Hadoop, Spark, or similar.
- Familiarity with cloud platforms such as AWS or Azure.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields, with a proven track record of leading projects.
What we offer:
- Opportunity to work on cutting-edge data technologies.
- 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.