About Andela

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world.

For technologists, Andela offers competitive long term career opportunities with leading organizations, access to a global community of professionals, and education opportunities with leading technology providers. 

For companies, Andela provides access to a global network of fully integrated team members that unlock their business’ innovation and growth potential. 

At Andela, we are deeply passionate about creating long-lasting and transformative growth opportunities for all and doing it in an E.P.I.C. [andela.com/careers] way.

We are excited to continue building our team with incredible people like you!

About this role: 

We are looking for an experienced Data Engineering Manager to join our Data team, and help manage existing data resources, implement new technologies and tooling to further enable science and analytics, as well as help drive scalable data sharing practices. In this role you will split your time between hands-on development and managerial activities. You will own data environments, integrate with new technologies, and oversee the development of new processes that support teams across the global organization. You will gather requirements through direct interaction with business, science, as well as software development teams. You will track the performance of our resources and related capabilities, constantly evolving our offering in order to scale our capability set with the growth of the business and needs of our customers.

The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.

Key Responsibilities

• Manage engineers
• Manage team members with different skill sets and technical areas of focus
• Mentor and coach the engineers and ensure their success
• Encourage and promote best engineering practices
• Encourage a data-driven culture to improve the efficiency, scalability, and stability of our products
• Support engineers in identifying, resolving and escalating issues that impact their work
• Manage and track engineers on performance and career development
• Provide technical leadership and guidance
• Unblock engineers on complex issues via pair programming and design sessions
• Review architecture and design design approaches for the engineering team
• Provide scoping and estimation feedback to the business
• Make technology choices working with the team members
• Drive issue resolution and ensure production system uptime
• Manage, measure and improve engineering processes
• Continuously improves Andelas software development lifecycle processes
• Improve release planning and sprint execution
• Drive prioritization and issue resolution approaches
• Refine onboarding and offboarding processes for engineering team members
• Collaborate with key stakeholders within and across department
• Ensure collaboration with Engineer leadership and across Engineering teams
• Advocate for and ensure prioritization of technical initiatives working with Product Managers.
• Engage with users and key stakeholders to understand problems and requirements
• Recruit talent
• Identify potential candidates that best fit our roles (e.g. team leads, senior engineers)
• Interview and evaluate prospective talent to ensure fit
• Facilitate onboarding of new hires
• Support budget alignment and monitoring and adherence of responsibilities

Basic Qualifications

• A desire to work in a global, collaborative, intellectually curious environment
• 5+ Years of Data Warehouse Experience with GCP, BigQuery, PostgreSQL, etc Demonstrated strength in SQL, data modeling, ETL development, and data warehousing
• Experience in maintaining data warehouse systems and working on large scale data transformation using dbt(Data Build Tool), Airflow, GCP, BigQuery, or other Big Data technologies
• Experience with a platform deployed to GCP, using a modern CI/CD pipeline (Docker, Kubernetes, and CircleCI). 
• Coding proficiency in Python 
• Experience with cloud compute provisioning, forecasting compute usage, and securing cloud data warehouses
• Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed
• Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams

Benefits:

• Fully Remote work culture
• A fair and competitive salary
• Bring your own device stipend - buy your own laptop with funds from Andela
• Quarterly work from home stipends
• Paid time off
• Additional paid holidays
• Flexible working hours
• Health insurance (country-specific)
• Equity
• 401k (US only)
• Andela Affinity Groups
• And more!

#LI-Remote