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.

Engineering Manager (Data Science)