What you will do
- Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;
- Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;
- Own key data warehouse components including development, deployment, monitoring, and continuous improvement;
- Provide technical leadership through data architecture reviews and system design discussions;
- Contribute to engineering culture and data-driven best practices;
- Support internal and external stakeholders with a focus on data accessibility and usability;
- Mentor team members and participate in hiring processes.
Must haves
- 5+ years of experience in data engineering building scalable systems and pipelines;
- Expert proficiency in SQL and strong coding skills in Python;
- Hands-on experience with data warehousing, data lakes, and large-scale data systems;
- Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems);
- Solid understanding of distributed system architecture focusing on availability, reliability, and performance;
- Strong focus on execution and product delivery;
- Exceptional attention to detail and quality;
- Strong communication skills;
- Ability to mentor and support other engineers;
- Leadership mindset with ability to take initiative and deliver results;
- Comfort working in a fast-paced, evolving environment;
- Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS;
- Upper-intermediate English level.
As a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization. You’ll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance. This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.
About the role
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
