Who We Are: Osmos, a B2B SaaS company founded by ex-Amazon ad-tech experts, is revolutionizing retail media with an AI-powered operating system that increases retailer profitability (by up to 7% of sales) and delivers superior ROAS for brands. By enabling Tier 1 retailers and marketplaces worldwide to activate more brands and leverage advanced targeting, we help them secure a lasting competitive edge.
Your Impact:
We are looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. You will be responsible for ensuring reliable data flow across multiple systems, enabling analytics, business intelligence, and AI/ML applications. This role involves working closely with analysts, data scientists, and product teams to provide clean, well-structured, and accessible data.
What You'll Do:
Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
Collaborate with stakeholders and Product Managers to understand data requirements, custom reporting and deliver scalable solutions.
Build and optimize data warehouses, data lakes, and streaming systems.
Ensure data quality, consistency, and governance across all platforms.
Monitor, troubleshoot, and improve data pipeline performance.
Implement best practices for data security and compliance.
Work with cloud platforms (AWS, GCP, Azure) and orchestration tools.
Minimum Qualification Required:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
2–4 years of experience in data engineering or related roles.
Strong knowledge of SQL and relational databases.
Solid understanding of data modeling, ETL concepts, and APIs.
Good to have:
Hands-on experience with Big Data technologies (Spark, Hadoop).
Hands-on experience in Python for data processing.
Experience with cloud data warehouses (BigQuery, Snowflake, Redshift).
Why Choose Osmos?
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Competitive Rewards: We value your expertise and offer strong compensation
Ready to champion data engineering? Let's chat.