Senior Data Engineer

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more. As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges. About the Role We are looking for a Senior Data Engineer Consultant to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization. Key Responsibilities Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation. Provide independent technical validation and recommendations to ensure alignment with business and technology objectives. Ensure data solutions comply with governance, security, scalability, and performance standards. Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges. Identify risks, gaps, and opportunities for improvement across data platforms and processes. Support project governance, acceptance reviews, and technical sign-off activities. Requirements 7–10 years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery. Hands-on knowledge of Databricks and Microsoft Fabric, Python (PySpark), and SQL. Experience reviewing solution designs, data models, and enterprise-scale data pipelines. Understanding of data governance, data quality, and cloud architecture best practices. Ab…