Data Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł14k - zł17.8k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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 scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark • Work with raw data and design methods for its integration into the data platform • Develop CI/CD pipelines for data engineering solutions • Create and maintain Infrastructure as Code solutions • Integrate the data platform with other systems and applications • Participate in architectural decision-making and define engineering standards • Conduct code reviews, document solutions, and share knowledge with team members • Co-create and develop a centralized data platform used by teams across the company • Build scalable data integration mechanisms from various source systems • Develop shared platform components and standards • Ensure high data quality, reliability, and consistency

🎯 Requirements

• At least 3 years of experience as a Data Engineer or in a related software engineering role • 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 • Nice to have: Experience with Kafka, Pub/Sub, or other event streaming systems • Nice to have: Experience building near-real-time / real-time pipelines • Nice to have: Experience working with Infrastructure-as-Code tools • Nice to have: Understanding of CDC (Change Data Capture) and data integration from transactional systems • Nice to have: Experience with Databricks or other lakehouse platforms

🏖️ Benefits

• 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 • 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