Data Engineer (Databricks)

Collaborating closely with analysts, data scientists, and business stakeholders to gather and understand data requirements

Developing reliable, scalable data pipelines using Python and modern cloud-based tools

Designing efficient and well-structured data architectures on platforms like Snowflake, Databricks, and other cloud data solutions

Applying best practices in data modeling, ensuring high data quality, and optimizing performance

Empowering clients and partners to make data-driven decisions by enabling fast and dependable data access

Our client is a data consulting company that was created to enable businesses of any size to achieve higher efficiency by implementing cutting-edge custom IT solutions.

2-5 years of professional experience working as a Data Engineer

Proficient in Python with strong programming and scripting capabilities

Practical experience with Databricks or comparable cloud-native big data platforms

Good understanding of Snowflake or similar cloud-based data warehouse solutions (AWS, Azure)

Knowledge of ETL / ELT workflows and familiarity with data pipeline orchestration tools (e.g., Airflow, dbt, etc.)

A problem-solving attitude with a strong interest in scalable data architecture and engineering best practices

Opportunity to work from home / flexible remote work options

Supportive and friendly team environment

Great opportunities for professional growth in the data field

Involvement in exciting and impactful projects

Continuous learning and skill development encouraged