Develop and implement the data engineering strategy in line with our business objectives and industry best practicesLead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvementCollaborate with the Data Architect to design, build, and optimize data infrastructure, ensuring it is scalable, secure, and performantWork closely with other engineering managers to ensure seamless data integration and accessibility for analytics and business intelligence initiativesEstablish and enforce data engineering standards, guidelines, and best practices across the organizationIdentify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data teamCollaborate with cross-functional teams to identify data requirements and support data-driven projectsMonitor and maintain the health and performance of mylo's data ecosystem, proactively identifying and addressing any issuesRequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related fieldMinimum of 8 years of experience in data engineering, with at least 3 years in a leadership roleStrong knowledge of data science tools, technologies, and best practices, including data warehousing, ETL, and data pipelinesProficiency in programming languages such as Python, Java, or ScalaExperience with big data technologies such as Hadoop, Spark, and KafkaFamiliarity with cloud-based data solutions (AWS, Azure, or Google Cloud)Exceptional problem-solving, communication, and leadership skillsAbility to collaborate effectively with cross-functional teams and stakeholdersBenefitsOffice 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.