Data Engineering Lead at Eliassen Group

The Data Engineering Lead will oversee the development and implementation of advanced data solutions, ensuring high-quality data availability and integrity across the organization. This role is pivotal in shaping the data strategy, addressing complex data challenges, and leading a team in executing innovative projects that align with business objectives. In this position, you will engage in hands-on data engineering activities, leveraging a tech stack that includes Azure, AWS, and various data warehousing solutions. You will be responsible for designing and optimizing data pipelines, utilizing Java and Python for ETL processes, and applying data modeling techniques to handle big data efficiently. Daily tasks will involve collaboration with cross-functional teams to ensure that data architecture meets the evolving needs of the organization. As part of a dynamic team, you will have opportunities for professional growth and skill enhancement, working alongside experts in the field. There will be a strong emphasis on mentoring junior engineers and fostering a collaborative environment that encourages innovative thinking. This role stands out for its blend of strategic leadership and hands-on technical involvement, providing a unique opportunity to influence data-driven decision-making at the highest level within the organization.

Design and implement robust data engineering solutions using Azure and AWS technologies. Build scalable data warehousing solutions that meet business requirements and data governance. Lead cross-functional teams to define data architecture and establish best practices. Architect data models that optimize performance and support analytical needs across platforms. Drive the development of ETL processes using Python and Java for efficient data transformation. Mentor junior engineers, providing technical guidance and promoting skill development. Ensure the reliability and performance of data pipelines through monitoring and optimization. Collaborate with stakeholders to gather data requirements and deliver actionable insights.

Competitive salary and comprehensive health benefits to support your well-being. Flexible work hours and remote options to promote a healthy work-life balance. Access to professional development programs and training opportunities for career growth. Support for certifications and continuous learning in data engineering technologies. Inclusive company culture that values diversity and teamwork. Fun team events and perks to foster a positive workplace environment.