Senior Data Engineer

hace 4 días


Madrid, España A-Safe Digital A tiempo completo

.Role Overview As a Senior Data Engineer within our Data Analytics Team, you will play a main reference role in managing and optimizing our data infrastructure and processes to ensure the efficient flow of data and information for critical business insights.If you're a highly skilled and motivated Data Engineer who is passionate about data quality and efficiency, we encourage you to apply and join our dynamic Digital Data Team. You'll have the opportunity to lead and make a significant impact on our data processes and analytics capabilities.How you can help us with this role: Data Infrastructure Management : Maintain and enhance our current Data Warehouse infrastructure, including SQL databases, stored procedures, and scripts, to ensure data accuracy and availability. We look for someone who enjoys to find the best possible integration for the data required by business, having strong experience on Data Modeling.Databricks architecture : We are moving our data warehouse to a Data Lake following a Medallion architecture within databricks. For this purpose we look for a Senior Data Engineer with experience on PySpark, parallel processing and data architecture who wants to build and structure our data in he best possible way for your Data Analyst colleagues (PowerBI / Microsoft Fabric is used by the team).Azure Data Factory : Develop, monitor, and optimize data pipelines within ADF to facilitate and improve data extraction, transformation, and loading. Currently our processes are running on Azure Data Factory.Data Quality Assurance : Implement and oversee data quality processes to ensure that data is accurate, consistent, and reliable for analytics and reporting purposes.Lead and Mentor : Take a leadership role in guiding and mentoring the rest of the team, ensuring best practices and efficient data engineering processes.Continuous Improvement : Proactively identify opportunities to improve data processes and efficiency within the team and implement data-driven solutions.Data Governance : Enforce data governance practices to maintain data security, compliance, and privacy.Technical Big Data Engineering Stack : Good knowledge in data engineering tools, scripting languages, and relevant technologies, to lead the data engineering aspects of the team and serve as subject-matter expert that helps us growing the data warehouse and implementing new sources in the most optimal way.Strong Communication : Excellent communication skills to convey complex technical concepts to both technical and non-technical colleagues.Desire for Continuous Learning : A proactive attitude towards learning and using data to improve existing processes.What we would like you to bring to our team: MUST HAVES:Proficient SQL & PySpark Knowledge: Proficiency in SQL and PySpark is a must. You should be capable of designing and maintaining complex queries and transformations, stored procedures, and data structures


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