We are looking for a Data Engineer to guide data engineering efforts across multiple squads, ensuring the robustness and scalability of data pipelines. The role involves working on the creation and evolution of new data hubs, migrating from legacy platforms, and following the group´s guidelines and technologies.
Key Responsibilities:
* Collaborate with cross-functional teams to design and implement data solutions that support business objectives.
* Analyze and optimize banking processes, ensuring efficient data flow and integrity.
* Act as a liaison between business units and IT operations to facilitate effective communication and project execution.
* Adapt to and support changes within the organization, driving continuous improvement in data management practices.
We are looking for a good knowledge of:
* Spark on Scala
* Streaming process (Kafka, event stream,...)
* Apache Airflow
* S3 storage/COS and parquet format
* Strong knowledge of SQL and NoSQL databases
* CI/CD tools (Gitlab, Jenkins...)
* Hadoop
I´d be great if you have...
* Knowledge of banking industry processes and challenges.
* Proven ability to make informed decisions and solve complex problems.
* Strong sense of accountability, focused on delivering results.
* Excellent communication and interpersonal skills to foster strong relationships within the team and with stakeholders.
* A commitment to continuous learning and improvement in data engineering practices.
Language Requirements:
* Proficient in English (B2/C1 level).
* French (B1/B2 level) is a plus but not mandatory.