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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
- Strong Python — ability to write clean, testable production code, including backend services (FastAPI / Flask or similar) exposing REST APIs.
- Experience with Databricks or another lakehouse platform (Delta Lake, Unity Catalog).
- Hands-on experience with Apache Spark (PySpark).
- Experience with Snowflake (our current analytical platform during the migration period).
- Experience with dbt — models, tests, macros, layered warehouse design.
- Experience with SSIS and SQL Server Agent (maintained by another team — useful context, not a daily duty).
Qualification wording
Strong Python — ability to write clean, testable production code, including backend services (FastAPI / Flask or similar) exposing REST APIs.
Experience with Databricks or another lakehouse platform (Delta Lake, Unity Catalog).
Hands-on experience with Apache Spark (PySpark).
Experience with Snowflake (our current analytical platform during the migration period).
Experience with dbt — models, tests, macros, layered warehouse design.
Experience with SSIS and SQL Server Agent (maintained by another team — useful context, not a daily duty).
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 23, 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
- Delta Lake
- Kafka
- Snowflake
- Spark
- SQL Server
- Airflow
- Dagster
- FastAPI
- Flask
- PySpark
- React
- Streamlit
Where the posting names them
We are a certified Great Place to Work company. We are looking for a Data Engineer to join the Tax Care team within the Customer Care program. We build and maintain the data flows behind XTB's accounting and tax processes — from the subsidiary ledger and client tax declarations to reporting for the finance organization. You will design scalable data pipelines, take part in our migration to Databricks, help modernize database solutions, and co-create a Python service exposing tax data via REST API and web UI. Our output becomes an accounting entry, so data correctness and reliability are the heart of this role. Responsibilities
Responsibilities - Designing, building and maintaining data pipelines that feed XTB's accounting and tax systems — using SQL, Python, dbt and Apache Spark / PySpark. - Migrating the existing data platform to Databricks (lakehouse), including rewriting legacy MS SQL Server stored procedures into Spark / Databricks SQL.
- Migrating the existing data platform to Databricks (lakehouse), including rewriting legacy MS SQL Server stored procedures into Spark / Databricks SQL. - Building and maintaining a data service — a Python backend exposing data over a REST API, together with its web UI — from data model through API design to deployment. - Working with raw data and designing methods for its integration into the data platform.
- At least 3 years of experience as a Data Engineer or in a related software engineering role. - Strong Python — ability to write clean, testable production code, including backend services (FastAPI / Flask or similar) exposing REST APIs. - Advanced SQL (query optimization on large datasets) and practical experience with T-SQL / MS SQL Server, including reading and reasoning about legacy stored procedures.
- Designing, building and maintaining data pipelines that feed XTB's accounting and tax systems — using SQL, Python, dbt and Apache Spark / PySpark. - Migrating the existing data platform to Databricks (lakehouse), including rewriting legacy MS SQL Server stored procedures into Spark / Databricks SQL. - Building and maintaining a data service — a Python backend exposing data over a REST API, together with its web UI — from data model through API design to deployment.
- Strong Python — ability to write clean, testable production code, including backend services (FastAPI / Flask or similar) exposing REST APIs. - Advanced SQL (query optimization on large datasets) and practical experience with T-SQL / MS SQL Server, including reading and reasoning about legacy stored procedures. - Hands-on experience with Apache Spark (PySpark).
- Front-end basics — ability to build a simple web UI on top of your own API (React, Streamlit, Dash or similar). - Experience with SSIS and SQL Server Agent (maintained by another team — useful context, not a daily duty). - Experience in the financial / accounting / tax domain, or with reconciliation-heavy data.
Nice to have - Experience with Databricks or another lakehouse platform (Delta Lake, Unity Catalog). - Experience with Snowflake (our current analytical platform during the migration period).
- Hands-on experience with Apache Spark (PySpark). - Experience with dbt — models, tests, macros, layered warehouse design. - Strong understanding of data warehouse design principles and data modeling.
- Understanding of gRPC for internal system integration. - Experience with Kafka, Pub/Sub, or other event streaming systems. - Experience building near-real-time / real-time pipelines.
- Experience with Databricks or another lakehouse platform (Delta Lake, Unity Catalog). - Experience with Snowflake (our current analytical platform during the migration period). - Front-end basics — ability to build a simple web UI on top of your own API (React, Streamlit, Dash or similar).
- Advanced SQL (query optimization on large datasets) and practical experience with T-SQL / MS SQL Server, including reading and reasoning about legacy stored procedures. - Hands-on experience with Apache Spark (PySpark). - Experience with dbt — models, tests, macros, layered warehouse design.
- Familiarity with data quality, monitoring, and pipeline reliability. - Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar). - Knowledge of CI/CD pipeline building and maintenance principles.
- Experience with Snowflake (our current analytical platform during the migration period). - Front-end basics — ability to build a simple web UI on top of your own API (React, Streamlit, Dash or similar). - Experience with SSIS and SQL Server Agent (maintained by another team — useful context, not a daily duty).
Your next step
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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 Tax Care team within the Customer Care program. We build and maintain the data flows behind XTB's accounting and tax processes — from the subsidiary ledger and client tax declarations to reporting for the finance organization. You will design scalable data pipelines, take part in our migration to Databricks, help modernize database solutions, and co-create a Python service exposing tax data via REST API and web UI. Our output becomes an accounting entry, so data correctness and reliability are the heart of this role.
Responsibilities
- Designing, building and maintaining data pipelines that feed XTB's accounting and tax systems — using SQL, Python, dbt and Apache Spark / PySpark.
- Migrating the existing data platform to Databricks (lakehouse), including rewriting legacy MS SQL Server stored procedures into Spark / Databricks SQL.
- Building and maintaining a data service — a Python backend exposing data over a REST API, together with its web UI — from data model through API design to deployment.
- 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.
- Strong Python — ability to write clean, testable production code, including backend services (FastAPI / Flask or similar) exposing REST APIs.
- Advanced SQL (query optimization on large datasets) and practical experience with T-SQL / MS SQL Server, including reading and reasoning about legacy stored procedures.
- Hands-on experience with Apache Spark (PySpark).
- Experience with dbt — models, tests, macros, layered warehouse design.
- Strong understanding of data warehouse design principles and data modeling.
- Practical knowledge of ETL/ELT processes.
- Experience analyzing existing legacy code with the goal of improving it and migrating it to newer technology.
- Familiarity with data quality, monitoring, and pipeline reliability.
- Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar).
- Knowledge of CI/CD pipeline building and maintenance principles.
- Understanding of REST standards for system integration.
- Strong analytical problem-solving skills and attention to detail — willingness to work under a hard monthly accounting close deadline.
- Effective communication skills and the ability to collaborate with both engineers and non-technical (finance / accounting) stakeholders.
- Openness to learning and exploring new technologies and methodologies.
Nice to have
- Experience with Databricks or another lakehouse platform (Delta Lake, Unity Catalog).
- Experience with Snowflake (our current analytical platform during the migration period).
- Front-end basics — ability to build a simple web UI on top of your own API (React, Streamlit, Dash or similar).
- Experience with SSIS and SQL Server Agent (maintained by another team — useful context, not a daily duty).
- Experience in the financial / accounting / tax domain, or with reconciliation-heavy data.
- Understanding of gRPC for internal system integration.
- 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.
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.