Big Data Engineer w Warszawa, Polska

• 3-5 years of professional experience in big data engineering
• Expertise in Spark and Java/Scala
• Additional knowledge of Python, Java, DevOps, Big Data, CI/CD tools, microservices, APIs, Airflow, and GIT
• Strong analytical and problem-solving skills
• A proactive attitude and strong teamwork ability
• Effective communication skills
• The ability to work in a global team across different time zones
• Strong planning and prioritization skills
• Fluency in English 

About the team:

Join our data-centric team at SG Group’s Corporate and Investment Banking (CIB) division, working at the heart of the information system. We are responsible for building the new data platform that supports various business processes and interacts with multiple stakeholders. Our team is dedicated to implementing data solutions using the latest big data technologies to support structured finance activities within the GLBA business line.

As a Big Data Engineer (Spark/Scala) based in Warsaw, Poland, you will collaborate with the team in Paris (France) to develop and enhance our financing datahub. You will be instrumental in designing and implementing data solutions, ensuring data quality, and supporting technical projects that drive our digital strategy.

Our offer:

• Work in a pleasant atmosphere as part of an international team in a brand-new office in the center of Warsaw, designed with facilities for people with disabilities
• An active role in an international structure and the opportunity for growth
• Access to educational platforms and language courses
• Employment contract and stability
• Competitive salary based on seniority and skills
• Support in quick adaptation in the company
• Extraordinary health package with extensive dental care
• One-time bonus for home office equipment
• Even more benefits such as meal allowance, holiday fund, sports card and insurance.

*Please be informed that we will be accepting only resumes in English. 

,[Designing and developing solutions for collecting, transforming, and processing large datasets, Analyzing data from multiple sources and translating findings into technical specifications, Industrializing data processing for reliability, robustness, efficiency, and resilience, Developing and implementing data collection, processing jobs, and data mapping using Spark/Scala, Conducting code reviews and collaborating with team members for continuous improvement, Contributing to agile feature teams and helping advance agile best practices, Delivering IT solutions in Scrum cycles (2-3 weeks) with tangible business value, Recommending and contributing to big data architecture strategies, Staying up to date with emerging data technologies and implementing best practices, Supporting applications and troubleshooting production issues as needed, Ensuring quality and maintainability of code through best development practices (BDD, TDD, clean code, DevOps), Producing technical documentation, test plans, and project deliverables, Identifying potential project risks related to costs and deadlines, proposing mitigation strategies when necessary] Requirements: Spark, SQL, Python, Java, DevOps, BigData, Big data, CI/CD, Microservices, API, Airflow, Git, Scala Tools: GitHub, Agile. Additionally: Training budget, Private healthcare, Flat structure, International projects, Lunch endowment, Multisport, Foreign language classes, Life & group insurance, Pension plan, Preferential loans, Holiday funds, Home work allowance, Employee referral bonus, Employee stock purchase plan, Free coffee, Modern office.