Python Data Engineer

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XTB online investing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

💳 Fintech

💸 Finance

👥 B2C

💰 $194.1M Post-IPO Secondary - Xtb on 2025-05

Fintech • Finance • B2C

XTB online investing is an international online brokerage and investing platform offering access to equities, ETFs, forex, commodities, indices and leveraged CFD instruments through award‑winning web and mobile apps. The firm provides both commission‑free stock and ETF trading (within limits), CFD trading across thousands of instruments, educational resources, market analysis, interest on uninvested funds, and tax‑wrapped ISA products for UK clients; it is regulated by the UK FCA and advertises FSCS protection and consumer risk disclosures. The platform is consumer‑facing, emphasizes digital security and customer support, and highlights over 20 years of industry experience and multiple million users.

📋 Description

• Design, build, and maintain batch and incremental data pipelines using Spark (PySpark) on large datasets. • Model and develop data warehouse layers (staging, dimensional, and serving) using sound DWH principles such as star/snowflake schemas, fact and dimension tables, and slowly changing dimensions (SCDs). • Develop and optimize ETL/ELT workflows, ensuring data quality, accuracy, and timeliness. • Write clean, well-tested, and maintainable Python code, applying solid software engineering practices (version control, code review, modular design). • Tune Spark jobs for performance and cost - partitioning, caching, join strategies, and resource configuration. • Build and maintain orchestration workflows and monitor pipeline health. • Collaborate with stakeholders to translate business and analytics requirements into reliable data models. • Contribute to data architecture decisions, documentation, and engineering standards within the team. • Mentor junior engineers through code reviews and knowledge sharing.

🎯 Requirements

• 3–5 years of professional experience in data engineering or a closely related software engineering role. • Strong data warehousing knowledge: dimensional modeling, normalization vs. denormalization, ETL/ELT design, SCDs, and warehouse performance considerations. • Hands-on experience with Apache Spark using PySpark, including building and optimizing distributed data processing jobs. • Strong general Python development skills with a solid programming and computer-science foundation (data structures, algorithms, OOP, testing). • Proficiency in SQL, including complex queries, window functions, and query optimization. • Experience version control (GitLab). • Understanding of data quality, reliability, and pipeline monitoring practices. • Nice to have: • Experience with cloud data platforms (AWS, Azure, or GCP) and their data services. • Familiarity with modern data platforms or lakehouse technologies Experience with CI/CD for data pipelines and infrastructure-as-code. • Exposure to streaming data processing (e.g., Spark Structured Streaming, Kafka). • Experience working in Agile teams.

🏖️ Benefits

• Real impact on the development of the company and the product. • Work in an experienced team that actively shares knowledge. • A clear growth path supported by regular feedback and transparent career development. • Training budget for courses and conferences of your choice. • An additional day off on your birthday. • An additional 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, including workshops and private therapy sessions. • Remote work, work from our Warsaw office, or from a coworking space in your city. • Regular team integration events.