Data Engineer (Data Engineering Team)
Warsaw, Mazowieckie, Poland
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated — work setup source
Employment type Hybrid
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingYou will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics.
Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
From the employer’s posting
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure. The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.
Responsibilities: Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability. Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency. Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment. Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Proven experience with Redshift and Snowflake.
- Experience with Apache Airflow for workflow orchestration.
- Proficiency in Python for data pipeline development and scripting.
- Experience with AWS cloud services, including S3, EC2, and EMR.
- Familiarity with Kafka for real-time data streaming.
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Proven experience with Redshift and Snowflake.
Experience with Apache Airflow for workflow orchestration.
Proficiency in Python for data pipeline development and scripting.
Experience with AWS cloud services, including S3, EC2, and EMR.
Familiarity with Kafka for real-time data streaming.
Education & alternatives
Requirements: - Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. - Minimum of 3 years of experience in data engineering or a related field.
Tools in this posting
- Python
- AWS
- Kafka
- Redshift
- S3
- Tableau
- Airflow
- Snowflake
- Power BI
- Looker
- dbt
Source — Tool mentions in context
- Experience with Apache Airflow for workflow orchestration. - Proficiency in Python for data pipeline development and scripting. - Experience with AWS cloud services, including S3, EC2, and EMR.
- Proficiency in Python for data pipeline development and scripting. - Experience with AWS cloud services, including S3, EC2, and EMR. - Familiarity with Kafka for real-time data streaming.
- Experience with AWS cloud services, including S3, EC2, and EMR. - Familiarity with Kafka for real-time data streaming. - Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
- Minimum of 3 years of experience in data engineering or a related field. - Proven experience with Redshift and Snowflake. - Experience with DBT.
- Familiarity with Kafka for real-time data streaming. - Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker). - Project management skills using Jira or similar tools.
- Experience with DBT. - Experience with Apache Airflow for workflow orchestration. - Proficiency in Python for data pipeline development and scripting.
- Proven experience with Redshift and Snowflake. - Experience with DBT. - Experience with Apache Airflow for workflow orchestration.
Job description
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure.
The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.
Responsibilities:
- Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
- Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
- Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
- Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
- Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.
- Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of experience in data engineering or a related field.
- Proven experience with Redshift and Snowflake.
- Experience with DBT.
- Experience with Apache Airflow for workflow orchestration.
- Proficiency in Python for data pipeline development and scripting.
- Experience with AWS cloud services, including S3, EC2, and EMR.
- Familiarity with Kafka for real-time data streaming.
- Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
- Project management skills using Jira or similar tools.
- Ability to collaborate effectively with cross-functional teams and understand business data needs.
- Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.
- Adaptable and open to learning new technologies and methodologies.
Employment type
Hybrid
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Mazowieckie, Poland
• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
More source context
Employment type Hybrid
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 1, 2026
- Recorded sightings
- 3
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.