Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
About the Product: Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.
About the Role: As a Senior Data Engineer, you will operate at the intersection of data engineering, software engineering, and system architecture. This is a high-impact, cross-functional role where you’ll take end-to-end ownership — from designing scalable infrastructure and writing robust, production-ready code to ensuring the reliability and performance of our systems in production.
Key Responsibilities: * Build and maintain ETL/ELT pipelines from APIs, Kafka, and databases. * Design and manage Airflow DAGs that are modular and observable. * Optimize our data lake architecture on S3 and Athena for performance and scalability. * Develop and support real-time and event-driven data flows using Kafka and Spark. * Implement monitoring, data validation, and alerting to ensure pipeline reliability. * Expose clean and structured datasets for internal consumption via Athena or APIs. * Collaborate with DevOps and the architect to evolve data infrastructure.
Required Competence and Skills: * 5+ years of experience as a data engineer, software engineer, or similar role, with a proven track record of using data to drive business outcomes. * Strong Python skills, with experience building modular, testable, and production-ready code. * AWS Certified Data Analytics — Specialty or AWS Certified Big Data — Specialty certification (current or expired) * Solid understanding of Databases and SQL, ETL/ELT design, and distributed data processing. * Experience with Airflow, Kafka, S3, Athena, Glue, and CI/CD practices. * Excellent communication and collaboration skills, proactive approach.
Nice-to-Haves * Experience with streaming technologies (Flink, Spark Streaming). * Experience building internal tools, APIs, or SDKs.
Why Us?
We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).
We provide full accounting and legal support in all countries we operate.
We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.
We offer a highly competitive package with yearly performance and compensation reviews.
