Middle Data Engineer
MMDSmart Ltd • Kazakhstan • Georgia
Posted: April 20, 2026
Job Description
We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.
In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability and performance of our data platform.
Since 2007, MMDSmart has been a leading supplier in cloud-based business communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability...What will you do at MMDSmart?
- Design, build, and maintain data pipelines for batch and streaming data processing;
- Develop and optimize ETL workflows using Python and SQL;
- Build and maintain Airflow DAGs for orchestration of data workflows;
- Implement data transformations and data quality checks;
- Optimize BigQuery queries and data models for performance and cost efficiency;
- Troubleshoot and improve reliability of existing pipelines;
- Collaborate with analysts and engineering teams to support data needs.
You are a perfect match if you have:
- 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;
- Experience with data pipeline monitoring and observability;
- Lannguage knowledge: fluency in Russian and English.
Nice to have:
- Experience with Kafka or streaming data pipelines.
You will primarily focus on:
- Building and maintaining data pipelines;
- Batch and streaming data processing;
- Data transformation and orchestration;
- Performance and cost optimization.
Our Tech Stack
- Google BigQuery;
- Python;
- Apache Airflow;
- Apache Spark (PySpark).
The role does not involve DevOps, ML, or BI development.
Additional Content
We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.
In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability and performance of our data platform.
Since 2007, MMDSmart has been a leading supplier in cloud-based business communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability...What will you do at MMDSmart?
- Design, build, and maintain data pipelines for batch and streaming data processing;
- Develop and optimize ETL workflows using Python and SQL;
- Build and maintain Airflow DAGs for orchestration of data workflows;
- Implement data transformations and data quality checks;
- Optimize BigQuery queries and data models for performance and cost efficiency;
- Troubleshoot and improve reliability of existing pipelines;
- Collaborate with analysts and engineering teams to support data needs.
You are a perfect match if you have:
- 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;
- Experience with data pipeline monitoring and observability;
- Lannguage knowledge: fluency in Russian and English.
Nice to have:
- Experience with Kafka or streaming data pipelines.
You will primarily focus on:
- Building and maintaining data pipelines;
- Batch and streaming data processing;
- Data transformation and orchestration;
- Performance and cost optimization.
Our Tech Stack
- Google BigQuery;
- Python;
- Apache Airflow;
- Apache Spark (PySpark).
The role does not involve DevOps, ML, or BI development.