Middle Data Engineer
At a glance
Mid-level Data Engineering role at MMDSmart Ltd. Remote, Poland · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Create and support pipelines for both scheduled batch work and streaming data
- Write Python and SQL ETL workflows, then build Airflow DAGs to coordinate their execution
- Transform data, add quality checks, and improve BigQuery models and queries for speed and cost
- Investigate pipeline failures and strengthen reliability across existing workflows
- Work with analysts and engineering teams to meet their data requirements
What you bring
- At least four years working as a data engineer
- Strong SQL and Google BigQuery skills, plus practical Python for data processing
- Experience developing data pipelines and ETL workflows, with hands-on Apache Airflow use
- Fluency in both Russian and English
Who this fits
This mid-level role suits a data engineer focused on pipelines, orchestration, data transformations, and performance and cost tuning. It is remote in Poland. The work excludes DevOps, machine learning, and BI development.
From the employer
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.
Requirements
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.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development: Benefit from free educational events & courses, and English classes with native speakers.
Your Career: Focus on your professional development in a supportive environment.
Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.