Engineering Manager (Data Science)

• 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
• 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

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.