Responsibilities
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.
Your future scope of responsibility will cover:
* 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
Profile required
You will be best suited for this role if you have:
* 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 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
Why join us
Your future with Societe Generale will include:
* 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
* 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
*Please be informed that we will be accepting only resumes in English.
Business insight
At Société Générale, we are convinced that people are drivers of change, and
that the world of tomorrow will be shaped by all their initiatives, from the
smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career,
together we can have a positive impact on the future. Creating, daring,
innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring
environment, feel useful on a daily basis and develop or strengthen your
expertise, you will feel right at home with us!
Still hesitating?
You should know that our employees can dedicate several days per year to
solidarity actions during their working hours, including sponsoring people
struggling with their orientation or professional integration, participating in
the financial education of young apprentices, and sharing their skills with
charities. There are many ways to get involved.
