Design, develop and maintain data pipelines for extracting, transforming and loading data
Carry out Big Data developments and end-to-end testing, and support production deployments
Investigate and help prevent production incidents on fraud detection microservices
Implement data quality controls, reconciliation and observability processes
Participate in code reviews and troubleshoot and fix application issues
From the employer’s posting
Design, develop and maintain data pipelines for extracting, transforming and loading data from different sources.
Carry out Big Data developments to meet eFraud business and technical needs, perform end-to-end testing by defining test scenarios and documenting defects, and support deployments to production.
Help anticipate, investigate, and prevent production incidents affecting fraud detection microservices hosted on the Big Data platform
Implement and monitor data quality controls, reconciliation mechanisms, and data observability processes.
Participate in code reviews, providing constructive feedback and ensuring adherence to coding standards and best practices.
Tools in this posting
Scala
SQL
AWS
Azure
Docker
Elasticsearch
GCP
Hadoop
Kafka
Kubernetes
MongoDB
MySQL
NoSQL
PostgreSQL
Snowflake
Spark
Source — Tool mentions in context
Profile required· Minimum 4 years of experience as a data engineer (development activities, PROD follow-up)· Mandatory technical skills: Scala, Spark, Hadoop/Cloudera ecosystem, SQL, Elasticsearch, Git, CI/CD, Jira· Nice to have: HDFS, HBase, Control-M, Yarn, Kafka, Snowflake, Cloud platforms (Azure, AWS, GCP)· Language: English – Advanced, French knowledge would be considered a plus· Familiarity with database systems (SQL & NoSQL) such as PostgreSQL, MySQL, MongoDB, HBase· Experience with version control systems (e.g., Git) and CI/CD pipelines.· Knowledge of containerization and orchestration tools like Docker and Kubernetes.· Familiarity with Agile development methodologies.· Demonstrates ownership, autonomy, and a continuous improvement mindset· Ability to challenge existing solutions and propose innovative approaches· Bachelor's degree in Computer Science, Engineering, or a related field.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
August 17Last week
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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.
ResponsibilitiesWe are seeking a skilled Data Engineer to join the eFraud team and contribute to the development and evolution of our fraud detection platform. As part of our team, you will play an essential role in the innovation and creation process of Societe Generale software solutions that can reshape the digital world of tomorrow.Your Role in a Nutshell:· Carry out Big Data developments to meet eFraud business and technical needs, perform end-to-end testing by defining test scenarios and documenting defects, and support deployments to production.· Collaborate with cross-functional teams to gather and analyze requirements, design solutions, and implement features that meet business needs.· Design, develop and maintain data pipelines for extracting, transforming and loading data from different sources.· Develop and maintain the data infrastructure (database, data warehouses, data lake) and data visualization tools.· Help anticipate, investigate, and prevent production incidents affecting fraud detection microservices hosted on the Big Data platform (investigation, follow-up, and communication with all stakeholders involved).· Participate in code reviews, providing constructive feedback and ensuring adherence to coding standards and best practices.· Troubleshoot and debug issues, and implement fixes to ensure the stability, performance, and security of applications.· Stay updated on industry trends and emerging technologies and continuously improve technical skills and knowledge.· Build a strategy to reduce technical debt, improve security, and ensure the decommissioning of unused resources.· Contribute to maintaining up-to-date documentation and ensuring compliance with data governance and data usage standards.· Implement and monitor data quality controls, reconciliation mechanisms, and data observability processes.· Ensure data lineage, traceability, and compliance with Group data governance standards.· Contribute to the evolution of the data platform architecture, evaluating new technologies and best practices in Data Engineering, Cloud, AI, and Analytics.· Explore opportunities to leverage AI and GenAI capabilities to improve fraud detection processes, data analysis, and engineering productivity.Profile required· Minimum 4 years of experience as a data engineer (development activities, PROD follow-up)· Mandatory technical skills: Scala, Spark, Hadoop/Cloudera ecosystem, SQL, Elasticsearch, Git, CI/CD, Jira· Nice to have: HDFS, HBase, Control-M, Yarn, Kafka, Snowflake, Cloud platforms (Azure, AWS, GCP)· Language: English – Advanced, French knowledge would be considered a plus· Familiarity with database systems (SQL & NoSQL) such as PostgreSQL, MySQL, MongoDB, HBase· Experience with version control systems (e.g., Git) and CI/CD pipelines.· Knowledge of containerization and orchestration tools like Docker and Kubernetes.· Familiarity with Agile development methodologies.· Demonstrates ownership, autonomy, and a continuous improvement mindset· Ability to challenge existing solutions and propose innovative approaches· Bachelor's degree in Computer Science, Engineering, or a related field.Why join usHere, you will find a flexible workplace and culture, autonomy, constant learning opportunities, dynamism, and talented people, making this experience a real career accelerator. You will also discover all the diversity of our businesses, in a sector that is constantly evolving and innovating.Plus, you will enjoy all our benefits:competitive compensation & remuneration, including annual performance bonus;preventive healthcare plan, and group health & life insurance;wide range of flexible benefits within a monthly budget;office perks, wellbeing and mental health programs;various social benefits and bonuses for personal or family events;9-to-5 workday & flexible working environment (Hybrid);additional paid and unpaid time off, including Sabbatical leave;learning and growth opportunities based on individual development and career plans;unlimited access to various eLearning resources.Business insightWe 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 daily 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.We are an equal opportunities employer, and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, sexual or gender identity, sexual orientation, membership of a political, religious, trade union or minority organization, or any other characteristic that could be subject to discrimination.