About this role
The team is seeking a Senior Data Engineer to lead and drive execution for data engineering initiatives. This role combines technical leadership, delivery ownership, and hands-on data engineering expertise. The ideal candidate will manage a team of data engineers while actively contributing to data platform development, ensuring successful execution of data pipelines, release deliverables, and stakeholder engagement.
Key Responsibilities:
- Lead and mentor a team of data engineers, fostering a collaborative and innovative environment.
- Oversee the design, development, and implementation of data pipelines and data integration processes.
- Ensure data quality and integrity across all data engineering projects.
- Collaborate with cross-functional teams to gather requirements and deliver effective data solutions.
- Manage project timelines, deliverables, and stakeholder communications effectively.
- Stay updated with industry trends and best practices in data engineering.
Required Skills & Qualifications:
- Proven experience in data engineering, with a strong understanding of data architecture and data modeling.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data processing frameworks like Apache Spark or Hadoop.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and leadership abilities.
Experience:
- 8-12 years of relevant experience in data engineering or related fields.
What we offer:
- An opportunity to lead innovative data projects in a dynamic environment.
- A hybrid work model that promotes work-life balance.
- 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.