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Big Data Engineer - Innovation / Project / Organization - Warsaw, Poland

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What you’ll work on

Full posting
  • Design 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 3-5 years of professional big data engineering experience, ideally in banking
  • Expertise in Spark, Scala and SQL
  • Fluent English (resumes accepted only in English)
  • Strong analytical and problem-solving skills
  • Ability to work in a global team across time zones
Qualification wording
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

Tools in this posting

  • Java
  • Python
  • Scala
  • Spark
  • Airflow
Source — Tool mentions in context
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.

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

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Live
First seen by us
Nov 5, 2026today
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1

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Societe Generale is hiring

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Hiring record

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

ResponsibilitiesJoin 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 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.Business insightAt 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.
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Warsaw, Poland

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