Senior Data Engineer — Remote, BigQuery & Pipelines

MMDSmart Ltd.; Polska; Hybrid; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Sports card

English classes

Bonuses & corporate gifts

Hybrid/remote work options

Educational events

Job summary

MMDSmart Ltd. is seeking a Data Engineer to help build scalable data pipelines and data warehouse solutions. You will work with large datasets, design efficient processing workflows, and ensure the reliability and performance of the data platform.

The role emphasizes hands-on development with Python, SQL, Airflow, and BigQuery in a cloud environment, in collaboration with analysts and engineering teams. We offer flexible work formats including remote, hybrid, or office-based arrangements.

Qualifications

• 4+ years of experience as Data Engineer.
• Strong experience with SQL and Google BigQuery.
• Experience building data pipelines and ETL processes.
• Solid knowledge of Python for data processing.
• Hands-on experience with Apache Airflow.
• Experience working with large datasets.
• Understanding of data modeling and data warehouse concepts.
• Experience with query optimization and cost-efficient data processing.
• Language knowledge: fluency in Russian and English.

Responsibilities

• Build and maintain data pipelines for batch and streaming data.
• Design and optimize ETL workflows using Python and SQL.
• Develop Airflow DAGs to orchestrate data workflows.
• Implement data transformations and data quality checks.
• Optimize BigQuery queries and data models for performance and cost.
• Troubleshoot and improve reliability of existing pipelines.
• Collaborate with analysts and engineering teams to support data needs.

Skills

SQL

Data modeling

Data quality checks

Python

Airflow

BigQuery

Data pipelines

Observability

Russian language

English language

Education

Bachelor's degree in CS/IS or related field

Tools

Airflow

Google BigQuery

PySpark

Kafka

Job description

MMDSmart Ltd. is seeking a Data Engineer to help build scalable data pipelines and data warehouse solutions. You will work with large datasets, design efficient processing workflows, and ensure the reliability and performance of the data platform.

The role emphasizes hands-on development with Python, SQL, Airflow, and BigQuery in a cloud environment, in collaboration with analysts and engineering teams. We offer flexible work formats including remote, hybrid, or office-based arrangements.