About this role
The team is seeking a Data Engineering Manager to lead a dynamic team focused on transforming data into actionable insights. This role is pivotal in shaping data strategies that empower millions of users worldwide. The ideal candidate will have a strong background in data engineering and a passion for innovative solutions.
Key Responsibilities:
- Lead and mentor a team of data engineers to build and maintain robust data pipelines.
- Design and implement scalable data architectures to support analytics and business intelligence initiatives.
- Collaborate with cross-functional teams to understand data needs and deliver effective solutions.
- Ensure data quality and integrity across various platforms and systems.
- Drive the adoption of best practices in data management and engineering.
Required Skills & Qualifications:
- Proven experience in data engineering, with a strong understanding of ETL processes.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies like Hadoop, Spark, or similar frameworks.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data warehousing solutions.
- Strong analytical and problem-solving skills, with the ability to communicate complex concepts clearly.
Experience:
- Minimum of 5 years of experience in data engineering or related fields, with at least 2 years in a managerial role.
What we offer:
- Opportunity to work in a fast-paced, innovative environment.
- Collaborative culture that values diverse perspectives and ideas.
- 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.