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Senior engineer, data engineering

Kruchten
Sogeti, part of Capgemini
Ingenieur
Inserat online seit: 20 Dezember
Beschreibung

Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. You will be responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Developing data pipelines and flows using Azure Synapse Analytics, Talend, and Apache Airflow
Building and maintaining the Data Foundation repository (clients, portfolios, positions, transactions)
Migrating data models and ETL workflows to Microsoft Fabric, ensuring business continuity
Integrating heterogeneous data sources (APIs, file systems, web scraping)
Ensuring data quality and observability with tools like Great Expectations, ELK, and Splunk
Collaborating with analysts and researchers to deliver clean, structured data

Master’s degree in Computer Science, Data Science, or Information Systems
Minimum 5 years of experience in data engineering or related fields
Solid knowledge of SQL and relational databases (MS SQL, PostgreSQL)
Programming skills in Python and Java
Experience with Apache Airflow, data observability tools (ELK, Splunk), and data quality frameworks (Great Expectations)
Fluent in French, with a good command of English

We support and guide you at every step of your career with continuous feedback and conversations. We’ll always make space to check in and discuss your growth and readiness for promotion.

We encourage flexibility when it comes to when and where people get their work done, allowing a better work-life balance and greater empowerment. Our learning offers are world class and free to every employee across the globe. Access all learning assets and curated programs from business experts, plus content from leading partners including Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.


We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made based on performance, competences and ability.

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