Senior Data Engineer

Epsilo in a nutshell

• We develop a closed-loop platform empowering brands and agencies to stay on top of the market trends, monitor digital shelf, automate campaigns, and leverage operational insights for digital commerce growth.
• Our platform serves a varied client including leaders, operators, and scientists in media, marketing, and e-commerce teams across brands, digital agencies, e-commerce enablers, and marketplaces, facilitating efficient revenue generation on Retail Media Network, a $100B category that will dominate the digital advertising for a decade.
• We earn a track record of facilitating over $3 billion in GMV, optimizing more than $200 million in media spend, and catering to clients in over 10 countries worldwide.
• Recognized in Gartner's Market Guide for Digital Shelf Analytics alongside 15 other leading global SaaS companies from the US, Europe, and India.
• Our aspiration is to develop a Positional Software that simply change the way that advertisers gather insights and make decisions. A combination of Notion and The Trade Desk.
• Backed by “Surge by Peak XV Partner”

What you’ll own and do

• Data Modeling & Metrics: Develop and maintain data models for transactional, analytical, and predictive use cases. Define key business metrics and enable stakeholders to generate insights.
• Analytics & Data Products: Design analytics solutions and scalable data products for marketing, operations, and finance.
• Data Mart Management: Maintain SAS Data Mart, ensuring data integrity, security, and performance optimization.
• Data Quality & Governance: Implement quality assurance, enforce governance policies, and develop metadata management systems.
• Automation & Optimization: Automate data pipelines, optimize transformations, and improve query performance.
• Collaboration & Innovation: Work with cross-functional teams to align technical solutions with business goals and integrate new technologies.

We may fit those who (want to)

• Challenge the status quo and have the “yes if” mindset.
• Aspire to be a principal software engineer and above somewhere in time.
• Believe strongly that you can build product and service to make an impact at global scale.
• Eventually participate in shaping our product and company strategy.
• Debate and be listened.

Who you are

• 4+ years of experience in data engineering, with a strong focus on data modeling and analytics.
• Advanced expertise in ETL/ELT pipeline design, data modeling, and metrics computation using tools like Apache Airflow, NiFi, or dbt.
• Proficiency in modern data architectures (e.g., Data Lakehouse, Delta Lake, Apache Iceberg).
• Advanced SQL skills and experience with data warehouses like BigQuery, Snowflake, or SingleStore.
• Proficiency in programming languages such as Python, Java, or Golang.
• Strong understanding of data quality monitoring, validation frameworks, and metadata management tools.
• Experience with BI tools (e.g., Power BI, Metabase) to design actionable insights dashboards.
• Experience in e-commerce, fintech, or healthcare domains is plus
• Familiarity with machine learning pipelines and vector databases.
• Strong problem-solving skills and business logic thinking.

Apply for the role

• 14 days annual leave per years
• PTI insurance
• Lunch free
• One day WFH per month
• Team bonding: 20$/person/month
• Company trip once time per years​