Senior Data Engineer

Responsibilities

• Seamlessly collect, process, store, and optimize company data to unlock its full power.

• Develop cutting-edge data solutions from the ground up, collaborating with various stakeholders from design to deployment.

• Identify automation opportunities for existing and new applications to enhance efficiency.

• Create a DataOps strategy and champion best practices to ensure data reliability and scalability.

• Innovate and enhance data quality and architecture within your scope.

• Push the boundaries of innovation by embracing the latest technologies and methodologies.

Requirements

• Proficiency in Agile Software Development methodologies.

• Comfortable with Python, Kotlin, and Golang, and eager to explore new data technologies.

• Proficient in ML frameworks and libraries, able to work closely with Data Scientists to optimize data solutions.

• Experience in architecting and developing production‑grade data solutions.

• Passionate about working with large‑scale datasets, highly skilled in SQL and big data tools like Kafka.

• Proficient in Cloud Data Warehouse systems such as Redshift, Snowflake, or BigQuery.

• Familiar with Modern Data Stack, Data Mesh, GitOps, and ideally experienced with dbt.

• Ability to translate business needs into technical requirements effectively.

• Confidence in working with AI tools like Claude Code is a nice to have.

• Strong communication skills in English with a collaborative spirit.

Hard Skills

• Python

• Kotlin

• Golang

• SQL

• ML frameworks

• big data tools

• Cloud Data Warehouse

• Redshift

• Snowflake

• BigQuery

Soft Skills

• Strong communication skills

• Collaborative spirit

• Ability to translate business needs into technical requirements