Pracuj.pl
None
Mid
Big Data Engineer
Societe Generale Branch in Poland
⚲ Warszawa, Wola
Do uzgodnienia
Wymagania
- Spark
- Scala
- SQL
- Java
- Python
- DevOps
- Big Data
- CI/CD tools
- microservices
- API
- Airflow
- Git
Opis stanowiska
Nasze wymagania:
3-5 years of professional experience in big data engineering, preferably with a background in banking
Fluency in English (Polish and French are considered an advantage)
Expertise in in Spark, Scala, and SQL
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
O projekcie:
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.
Zakres obowiązków:
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
Oferujemy:
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
Stability
Competitive salary based on seniority and skills
Support in quick adaptation in the company
Extraordinary health package with extensive dental care
Hybrid work (2 or 3 days per week) and one-time bonus for home office equipment
Even more benefits such as meal allowance, holiday fund, sports card and insurance
3-5 years of professional experience in big data engineering, preferably with a background in banking
Fluency in English (Polish and French are considered an advantage)
Expertise in in Spark, Scala, and SQL
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
O projekcie:
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.
Zakres obowiązków:
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
Oferujemy:
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
Stability
Competitive salary based on seniority and skills
Support in quick adaptation in the company
Extraordinary health package with extensive dental care
Hybrid work (2 or 3 days per week) and one-time bonus for home office equipment
Even more benefits such as meal allowance, holiday fund, sports card and insurance
🔍 Dekoder Ogłoszenia
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