- Develop and implement the data engineering strategy in line with our business objectives and industry best practices
- Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement
- Collaborate with the Data Architect to design, build, and optimize data infrastructure, ensuring it is scalable, secure, and performant
- Work closely with other engineering managers to ensure seamless data integration and accessibility for analytics and business intelligence initiatives
- Establish and enforce data engineering standards, guidelines, and best practices across the organization
- Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data team
- Collaborate with cross-functional teams to identify data requirements and support data-driven projects
- Monitor and maintain the health and performance of mylo's data ecosystem, proactively identifying and addressing any issues
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role
- Strong knowledge of data science tools, technologies, and best practices, including data warehousing, ETL, and data pipelines
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with big data technologies such as Hadoop, Spark, and Kafka
- Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud)
- Exceptional problem-solving, communication, and leadership skills
- Ability to collaborate effectively with cross-functional teams and stakeholders
Benefits
Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.
Flexibility: You know best whether you want to work from home or in the office.
Equipment: From "Day 1" you will receive all the equipment you need be successful at work.