Data Engineer

JoomPulse is an AI analytics tool for Mercado Livre sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions.

JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.

Key facts about us

• Our market is huge - approx. 200k active Mercado Livre sellers in Brazil with total GMV of $40 bln

• We are trusted by almost 3k active paying customers and 30k+ sellers that use us for free

• Users call us the “iPhone for Mercado Livre analytics” for our great UX, data completeness and actionable, business oriented insights. JoomPulse is widely known at the market as the best tool to find new product to sell and niche to capture for every segment - from beginners to rich and big Enterprise sellers

We are growing fast, and as our customers expect faster and more reliable data, we are looking for a Senior/Lead Data Engineer to help us scale data pipelines. As a Senior/Lead Data Engineer at JoomPulse, you’ll scale our data warehouse while keeping it well-architected, maintainable, and aligned with growing SLO and data quality needs. You’ll move fast during prototyping and focus on stability as products scale. The role calls for autonomy, proactivity, and curiosity about how users analyze data and how we can make them more productive, as well as taking responsibility for leading projects and delivering them on time.

Responsibilities

• Lead the design and evolution of data warehouse architecture

• Collaborate with product managers and designers to prepare datasets for new features, balancing usefulness, cost efficiency, and development speed

• Troubleshoot and resolve customer-reported data issues

• Define and monitor data quality and SLOs for critical datasets

• Mentor teammates and promote data engineering best practices

Requirements

• Proficient in advanced SQL

• Familiarity with data modeling (dimensional modeling, star/snowflake schemas, etc.)

• Experience with analytical databases (BigQuery, ClickHouse, Snowflake, etc.)

• Experience with Apache Spark (PySpark, Spark SQL)

• Experience completing large and complex projects

Preferred

• Familiarity with cloud platforms (AWS, GCP, Azure, etc.)

• Familiarity with ETL process schedulers (Airflow, Prefect, etc.)

• Practical experience with Python

We offer

• Compensation package: base salary and performance-based bonuses

• Office-first: flexible hours with a possibility to work remotely 52 days per year

• Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave

• Relocation Support: full assistance for a smooth relocation for the employees and their family

• Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses

• Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work