.Empowered by our motto, "Making Data Matter ", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data. We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery. With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses take advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability. Job Summary Keyrus is looking for a motivated and creative Data Engineer to help centralize and consolidate our data lake, ensuring data quality. The ideal candidate has expertise in data ingestion and ETL processes, coupled with a fervent commitment to making every piece of data matter. We value individuals who are detail-oriented, independent contributors with exceptional communication and problem-solving skills, ensuring that together, we continue to transform possibilities into reality. You will be part of an Agile squad, working with technical experts to ensure the correct implementation of the solution architecture. Note : All applications/CVs must be submitted in English. Key Responsibilities Design, develop, and support data pipelines, warehouses, and reporting systems to solve business needs. Analyze business requirements to propose relevant technical solutions. Design data models and define optimized tables/views in BigQuery and SQL queries to improve performance or reduce costs. Actively contribute to solution architecture by proposing new design patterns, technologies, and improvements to existing applications or developing new ones. Explore integration of generative AI features to improve user experience. Ensure data security in all layers of the applications. Collaborate with squad members to define and evolve development best practices, including source code control, re-usability, and coding standards. Take ownership of full implementation, ensuring quality of code, unit tests, integration tests, reliability engineering (monitoring & alerting), and performance of solutions. Requirements for the role Advanced degree in engineering or a technical/scientific field of study. Strong competency in data manipulation: SQL and Python are a must! Talend is a plus, and Node.Js is nice to have. Proven expertise with Google Cloud Platform (GCP), specifically BigQuery and Cloud Functions. Experience or willingness to learn Azure. Experience with unit testing/TDD. Experience using CI/CD pipelines as part of development
