数据工程师（税务服务）
Data Engineer (Tax Care)
XTB是一家来自金融行业的全球公司，专注于金融工具的在线交易。我们是波兰最大的FinTech公司，在中欧和东欧地区处于领先地位，业务范围覆盖多个国家，包括亚洲和南美洲。在XTB，我们注重员工的发展，为他们提供在各个领域获取知识和技能的机会，以及众多培训和发展计划。如果您正在寻找挑战，并希望在国际商业环境中获得宝贵的经验，XTB就是您的理想选择。
我们是一家经过认证的Great Place to Work公司。
我们正在寻找一名数据工程师加入客户关怀项目中的Tax Care团队。我们构建并维护XTB会计和税务流程背后的数据流——从明细账和客户税务申报到财务组织的报告。您将设计可扩展的数据管道，参与我们的Databricks迁移工作，帮助现代化数据库解决方案，并共同创建一个通过REST API和网页界面暴露税务数据的Python服务。我们的输出将成为会计凭证，因此数据的准确性和可靠性是这个职位的核心。
职责
- 设计、构建和维护为XTB会计和税务系统提供数据的数据管道——使用SQL、Python、dbt和Apache Spark / PySpark。
- 将现有数据平台迁移到Databricks（数据湖house），包括将遗留的MS SQL Server存储过程重写为Spark / Databricks SQL。
- 构建和维护一个数据服务——一个通过REST API暴露数据的Python后端，以及其网页界面——从数据模型到API设计再到部署。
- 与原始数据合作，并设计将其集成到数据平台的方法。
- 开发数据工程解决方案的CI/CD管道。
- 创建和维护基础设施即代码解决方案。
- 将数据平台与其他系统和应用程序集成。
- 参与架构决策并定义工程标准。
- 进行代码审查，记录解决方案，并与团队成员分享知识。
要求
- 至少3年的数据工程师或相关软件工程岗位经验。
- 精通Python——能够编写干净、可测试的生产级代码，包括后端服务（FastAPI / Flask或类似）暴露REST API。
- 高级SQL（大型数据集的查询优化）
查看英文原文
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.
Originally posted on Himalayas