Data Engineer

At Promova, we’re redefining language education for the AI-powered era — making learning accessible, personal, and inspiring for millions of people worldwide. Our 150+ teammates unite around one mission: to connect people, bridge cultures, and empower lifelong learners — in every country except aggressor states (yes, even Antarctica).

We blend AI innovation with human creativity to help people speak with confidence and truly belong anywhere. If you want to test bold ideas, move fast, and make an impact — you’ll feel right at home.

About the Role

We are looking for a Data Engineer who will own and shape the data infrastructure that powers every analytical and AI-driven decision at Promova.

In this role, you’ll build a reliable, scalable data platform — not dashboards or one-off reports, but the foundation that lets anyone in the organization get answers on their own, with the help of AI agents and without waiting on a middleman.

Clean, well-documented, trustworthy data is the product. You will own it end to end: from raw source intake to the final datasets that power marketing, product, and business decisions at scale.

Why This Role Is Your Next Challenge

• Direct Business Impact: The data platform you build is the infrastructure the entire company runs on. Every team — marketing, product, etc — depends on the reliability and quality of what you ship. This is foundational work that scales with the business.
• AI-First Culture: You won’t be figuring out AI alone. We have a dedicated squad focused on AI adoption and a full setup ready to use: Claude Desktop connected to Tableau, Notion, and our internal data sources. You’ll be building the data layer that makes AI agents actually useful.
• Multiproduct Ecosystem: As Promova expands into new products, you’ll integrate new data sources and adapt pipelines — building once in a way that scales across the whole ecosystem from day one.

What We’re Looking For
Core experience:

• 2+ years of hands-on experience as a Data Engineer or in a similar data infrastructure role.
• Strong SQL proficiency and practical experience working with cloud data warehouses (BigQuery preferred).
• Experience designing and maintaining ETL/ELT pipelines and layered data warehouse architecture (raw → stage → final).
• Hands-on experience with pipeline orchestration tools (Airflow, MWAA, or Cloud Functions): task dependencies, error handling, retry logic, failure recovery.
• Solid understanding of data quality practices: validation, NULL/duplicate handling, freshness and consistency monitoring.

Bonus points:

• Experience in subscription-based products (web and/or mobile).

What You Will Do

• Develop and optimize the data warehouse (BigQuery): design and maintain the raw → stage → final layer architecture.
• Connect and integrate new data sources: product, payment, marketing, internal services — into a unified pipeline.
• Orchestrate and ensure pipeline reliability: manage task dependencies, error handling, retry logic, and recovery from failures.
• Maintain data quality: build validation checks, handle NULLs and duplicates, monitor freshness and consistency.
• Prepare data as a product for AI agents: clean, documented, predictable datasets that can be trusted without manual verification.
• Contribute to analytical tasks where automation falls short, and support the team through the transition to self-service analytics.

Corporate Benefits
🎓Growth — offered to help develop your skills, advance your career, and reach your full potential: сompensation for additional training at external events and seminars; access to a large electronic library; paid online courses and conferences;

🧘🏼Wellbeing — offered to support your overall health, happiness, and resilience: work remotely from any safe location worldwide; flexible work schedule; 20 paid vacation days per year; an unlimited number of sick days, medical insurance coverage; mental health support; power station reimbursement; employee discounts and special benefits for remote employees.

🏄🏼‍♂️Fun & Activities — offered to foster informal communication and strengthen social connections among teammates: remote team compensation for gathering and team-building episodes.

Interview Process

• Intro-call with Recruiter
• Meeting with the Hiring Manager
• Bar-raising

Interested? Apply now and let’s make the growth happen!