Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,033 similar postings that came down. Coming down is not always a hire.
Warsaw, Poland
Actively hiring, first seen by us todayDesign and develop solutions to collect, transform and process large datasets
Develop data collection and processing jobs and data mapping in Spark/Scala
Industrialize data processing for reliability, robustness and efficiency
Conduct code reviews and contribute to big data architecture strategy
Support applications and troubleshoot production issues as needed
Designing and developing solutions for collecting, transforming, and processing large datasets
Developing and implementing data collection, processing jobs, and data mapping using Spark/Scala
Industrializing data processing for reliability, robustness, efficiency, and resilience
Conducting code reviews and collaborating with team members for continuous improvement
Supporting applications and troubleshooting production issues as needed
3-5 years of professional experience in big data engineering, preferably with a background in banking
Expertise in in Spark, Scala, and SQL
Fluency in English (Polish and French are considered an advantage)
Strong analytical and problem-solving skills
The ability to work in a global team across different time zones
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 requiredYou 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 bankingFluency in English (Polish and French are considered an advantage)Expertise in in Spark, Scala, and SQLAdditional knowledge of Python, Java, DevOps, Big Data, CI/CD tools, microservices, APIs, Airflow, and GITStrong analytical and problem-solving skillsA proactive attitude and strong teamwork abilityEffective communication skillsThe ability to work in a global team across different time zonesStrong planning and prioritization skillsWhy join usYour 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 disabilitiesAn active role in an international structure and the opportunity for growthAccess to educational platforms and language coursesStabilityCompetitive salary based on seniority and skillsSupport in quick adaptation in the companyExtraordinary health package with extensive dental careHybrid work (2 or 3 days per week) and one-time bonus for home office equipmentEven more benefits such as meal allowance, holiday fund, sports card and insurance*Please be informed that we will be accepting only resumes in English.
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.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,033 similar postings that came down. Coming down is not always a hire.
34 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordCheck the employer’s posting for the current role and application details.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Warsaw, Poland
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting