Data Engineering Team Lead (Associate)
Location | Kampala, Uganda |
Date Posted | September 9, 2024 |
Category |
Engineering
IT / Information Technology |
Job Type |
Full-time
|
Currency | UGX |
Description
About the job
About Remote
Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.
Please take a look at remote.com/handbook to learn more about our culture and what it is like to work here. Not only do we encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply, but we prioritize a sense of belonging. You can check out independent reviews by other candidates on Glassdoor or look up the results of our candidate surveys to see how others feel about working and interviewing here.
All of our positions are fully remote. You do not have to relocate to join us!
What This Job Can Offer You
This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making.
2024 is a transformative year for us where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and Python being extensively employed.
The position
We are seeking a motivated and experienced Associate Team Lead to join our Data Engineering team. This person will be responsible for overseeing and mentoring a group of :2-4 engineers, ensuring the delivery of high-quality data products and solutions.
How We Work
We love working async and this means you get to do your own schedule.
We empower ownership and proactivity and when in doubt default to action instead of waiting.
What you bring
- Solid experience with data platform tooling (SQL, ETL (eg. Airflow, Argo), data warehouse (eg. Snowflake) and dbt.
- Strong experience as an engineer or developer within data teams
- Solid understanding of engineering development principles and best practices
- Solid communication skills and stakeholder management capabilities
- Inspires others, instills confidence, and good comprehension of team dynamics, coaching and mentoring
- Great communication, project management skills and ability to lead technical discussions
- Strong ability to work independently and self-guided, and comfortable with ambiguity
- Curiosity and willingness to learn and develop
- Writes and speaks fluent English
- It's not required to have experience working remotely, but considered a plus
What this job can offer you
- Leading a distributed team of engineers, providing regular feedback, coaching and mentoring
- Working closely with Data Leadership and stakeholders on defining, prioritising and delivering solutions to the problems to solve
- Building relationships with stakeholders to best support their needs, and ensuring we deliver impactful work in a timely manner
- Active contribution to developing and delivering engineering solutions, either through direct work or technical guidance
- Opportunity to have a significant impact on the business — we are still very early in our journey as a company and the impact data can have on company growth
- A lot of freedom to organize your work and life — you are not bound to daily standups or other ceremonies. We expect you to have regular 1:1s with your team members, but you can organize them around your schedule
- A supportive and kind work environment where you can grow and challenge yourself to do your best work
Practicals
- You'll report to: Engineering Manager, Data
- Direct reports: 2-4
- Team: Engineering, Data
- Location: Anywhere in the world
- Start date: As soon as possible