About this role
The team is seeking a Senior Data Engineer to lead multiple initiatives and solutions within their Global Data & Analytics technology organization. This role will be pivotal in establishing future-proof data and solution architectures that support data engineering, data science, analytics, business intelligence, and AI on a global scale.
Key Responsibilities:
- Lead the design and implementation of scalable data architectures and pipelines.
- Collaborate with cross-functional teams to define data requirements and deliver solutions.
- Develop and maintain data models, ETL processes, and data integration workflows.
- Ensure data quality, security, and compliance across all data initiatives.
- Mentor and guide junior engineers in best practices and innovative solutions.
- Stay updated with industry trends and emerging technologies to enhance data capabilities.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Extensive experience in data engineering, with a focus on big data technologies (e.g., Hadoop, Spark).
- Proficiency in programming languages such as Python or Java.
- Experience with cloud platforms (e.g., AWS, Azure) and data warehousing solutions.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and leadership abilities.
Experience:
- 5-8 years of relevant experience in data engineering or related roles.
What we offer:
- Opportunity to work on innovative projects that impact global data strategies.
- Collaborative and inclusive 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.