Data Engineer

Role Description

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.

Qualifications

• 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.

Benefits

• Growth: Offered to help develop your skills, advance your career, and reach your full potential: compensation 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 + Test Case
• Bar-raising