Data Engineer ID52278

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! :)

About the role
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.

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.

Perks and benefits
● 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.

Meet Our Recruitment Process
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video
Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates

If it’s a match—you’ll get an offer!