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Data Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- Proficiency in Python and the ability to write clean, testable production code.
- Experience with Kafka, Pub/Sub, or other event streaming systems.
- Hands-on experience with Apache Spark.
- Experience building near-real-time / real-time pipelines.
- Strong understanding of data warehouse design principles and data modeling.
- Experience working with Infrastructure-as-Code tools.
Qualification wording
Proficiency in Python and the ability to write clean, testable production code.
Experience with Kafka, Pub/Sub, or other event streaming systems.
Hands-on experience with Apache Spark.
Experience building near-real-time / real-time pipelines.
Strong understanding of data warehouse design principles and data modeling.
Experience working with Infrastructure-as-Code tools.
Benefits in the posting
Full benefits wording- A clear vision of development thanks to regular feedback and clear career paths.
- Private medical care and group insurance.
- Employment type
- Full-time
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
- Employer says posted
- Sep 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
xtb is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- dbt
- Kafka
- Spark
- SQL Server
- Airflow
- Dagster
- PySpark
Where the posting names them
- Implementing, maintaining and support of MS SQL Server warehouse and SSIS processes and jobs on a daily basis. - Designing, building, and maintaining scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark. - Working with raw data and designing methods for its integration into the data platform.
- Flexibility to be enrolled into the Databricks oriented project at some point of the cooperation. - Proficiency in Python and the ability to write clean, testable production code. - Hands-on experience with Apache Spark.
Responsibilities - Implementing, maintaining and support of MS SQL Server warehouse and SSIS processes and jobs on a daily basis. - Designing, building, and maintaining scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark.
- At least 3 years of experience as a Data Engineer or in a related software engineering role. - At least 1 year of experience with MS SQL Server, SSIS and SQL Server Agent technologies - including the deployment of new features. - Analyzing existing legacy code for improvement and transfer to the newer technology.
- Hands-on experience with Apache Spark. - Advanced SQL skills (query optimization on large datasets). - Strong understanding of data warehouse design principles and data modeling.
- Analyzing existing legacy code for improvement and transfer to the newer technology. - Flexibility to be enrolled into the Databricks oriented project at some point of the cooperation. - Proficiency in Python and the ability to write clean, testable production code.
- Understanding of CDC (Change Data Capture) and data integration from transactional systems. - Experience with Databricks or other lakehouse platforms. What we offer
Nice to have - Experience with dbt. - Experience with Kafka, Pub/Sub, or other event streaming systems.
- Experience with dbt. - Experience with Kafka, Pub/Sub, or other event streaming systems. - Experience building near-real-time / real-time pipelines.
- Proficiency in Python and the ability to write clean, testable production code. - Hands-on experience with Apache Spark. - Advanced SQL skills (query optimization on large datasets).
- Understanding of REST and gRPC standards for system integration. - Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar). - Knowledge of CI/CD pipeline building and maintenance principles.
Your next step
Complete your application on jobs.eu.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Has xtb posted this job before?
Yes. We’ve followed one other Data Engineer job there since November 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you.
We are a certified Great Place to Work company.
We are looking for a Data Engineer to join the Core Data Platform team to co-create and develop a centralized data platform used by teams across the company. In this role, you will be responsible for building scalable data integration mechanisms from various source systems, developing shared platform components and standards, and ensuring high data quality, reliability, and consistency.
Responsibilities
- Implementing, maintaining and support of MS SQL Server warehouse and SSIS processes and jobs on a daily basis.
- Designing, building, and maintaining scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark.
- Working with raw data and designing methods for its integration into the data platform.
- Developing CI/CD pipelines for data engineering solutions.
- Creating and maintaining Infrastructure as Code solutions.
- Integrating the data platform with other systems and applications.
- Participating in architectural decision-making and defining engineering standards.
- Conducting code reviews, documenting solutions, and sharing knowledge with team members.
Requirements
- At least 3 years of experience as a Data Engineer or in a related software engineering role.
- At least 1 year of experience with MS SQL Server, SSIS and SQL Server Agent technologies - including the deployment of new features.
- Analyzing existing legacy code for improvement and transfer to the newer technology.
- Flexibility to be enrolled into the Databricks oriented project at some point of the cooperation.
- Proficiency in Python and the ability to write clean, testable production code.
- Hands-on experience with Apache Spark.
- Advanced SQL skills (query optimization on large datasets).
- Strong understanding of data warehouse design principles and data modeling.
- Practical knowledge of ETL/ELT processes.
- Familiarity with data quality, monitoring, and pipeline reliability.
- Experience working with relational databases, including an understanding of how they work, data modeling, and optimization.
- Understanding of REST and gRPC standards for system integration.
- Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar).
- Knowledge of CI/CD pipeline building and maintenance principles.
- Strong analytical problem-solving skills and attention to detail.
- Effective communication skills and the ability to collaborate in a team.
- Openness to learning and exploring new technologies and methodologies.
Nice to have
- Experience with dbt.
- Experience with Kafka, Pub/Sub, or other event streaming systems.
- Experience building near-real-time / real-time pipelines.
- Experience working with Infrastructure-as-Code tools.
- Understanding of CDC (Change Data Capture) and data integration from transactional systems.
- Experience with Databricks or other lakehouse platforms.
What we offer
- Real influence on the development of the company and the product.
- Work in an experienced team that is happy to share its knowledge.
- A clear vision of development thanks to regular feedback and clear career paths.
- Regular team-building meetings.
Benefits
- A training budget for courses and conferences that interest you.
- An extra day off on your birthday.
- An extra day off for parents.
- Equipment tailored to your needs.
- Private medical care and group insurance.
- Access to an e-learning platform for learning English and a benefits platform.
- Access to a wellbeing platform and the opportunity to take advantage of workshops and private therapy sessions.
- Remote work, from the office in Warsaw or from a coworking space in your city.
Employment type
Full-time
Source details
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
- Access to a wellbeing platform and the opportunity to take advantage of workshops and private therapy sessions. - Remote work, from the office in Warsaw or from a coworking space in your city. Employment type
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.