Senior Big Data Engineer (Snowflake + dbt)

SoftServe; Poland; On-site; PLN 180,000 - 280,000; Full time

Job summary

SoftServe is seeking a Senior Data Engineer to design and implement scalable cloud-based data solutions on AWS, Snowflake, Python, and dbt. You will optimize ELT workflows and collaborate with cross-functional teams across project lifecycles.

Join a team focused on production-grade data platforms, data modeling, and performance tuning, delivering reliable data processing at scale. Strong English communication skills and teamwork are essential.

Qualifications

• 5+ years of experience in Data Engineering or equivalent.
• Strong AWS and Snowflake expertise.
• Advanced Python and SQL skills.
• Extensive DBT experience for ELT processes.
• Hands-on with Airflow or similar orchestration tools.
• Strong data modeling and large-scale processing knowledge.

Responsibilities

• Design, develop, and maintain scalable ELT pipelines using Python, SQL, Snowflake, and dbt.
• Build and optimize cloud-based data solutions within AWS environments.
• Work with large datasets, improving query performance and processing efficiency.
• Develop and maintain workflow orchestration using Airflow.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions.
• Participate in architecture discussions and contribute to scalable data platforms.

Skills

AWS

Snowflake

Python

SQL

dbt

Airflow

ELT pipelines

Data modeling

Job description

About The Role

In this role, you will build and improve scalable cloud-based data solutions using AWS, Snowflake, Python, and dbt. You will work on complex data workflows, support optimization initiatives, and collaborate with cross-functional teams to deliver reliable and efficient data platforms across different stages of the project lifecycle.

About The Role

In this role, you will build and improve scalable cloud-based data solutions using AWS, Snowflake, Python, and dbt. You will work on complex data workflows, support optimization initiatives, and collaborate with cross-functional teams to deliver reliable and efficient data platforms across different stages of the project lifecycle.

Responsibilities

• Design, develop, and maintain scalable ELT pipelines using Python, SQL, Snowflake, and dbt
• Build and optimize cloud-based data solutions within AWS environments
• Work with large datasets, improving query performance and processing efficiency
• Develop and maintain workflow orchestration using Airflow
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions
• Participate in architecture discussions and contribute to the implementation of scalable data platforms
• Support data modeling, testing, deployment, and continuous improvement activities
• Share knowledge and contribute to engineering best practices within the team
• Participate in the full project lifecycle, from PoC and MVP stages to production implementation

Requirements

• 5+ years of experience in Data Engineering
• Strong expertise in AWS cloud services and Snowflake
• Advanced proficiency in Python and SQL
• Extensive experience implementing ELT processes using dbt
• Hands‑on experience with Airflow or similar orchestration tools
• Strong knowledge of query optimization, data modeling, and large‑scale data processing
• Analytical and problem‑solving mindset with attention to detail
• Strong communication and collaboration skills
• Upper‑intermediate or higher level of English

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.