• Lead and inspire an experienced team of data engineers and scientists, working with them on their skills, personal development and career growth. • Carry out one-to-ones with your team members to discuss any issues they’re facing, provide support and encouragement and discuss their career goals. • Design L&D KPIs for your team, helping to grow their skills over time and scale your own knowledge and experience. • Keep on top of administrative duties relating to team leadership - performance reviews, absence management, arranging team-building events etc. • Play an active role in the recruitment process to bring new people into the business. • Lead client engagements and team lead on client-facing delivery projects. • Consult, design, coordinate architecture to modernise infrastructure for performance, scalability, latency, and reliability. • Identify, scope, and participate in the design and delivery of cloud data platform solutions. • Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery, and other data technologies. • Design and execute a platform modernization approach for customers' data environments. • Document and share technical best practices/insights with engineering colleagues and the Data Engineering community. • Mentor and develop engineers within the Qodea Data Team and within our customers' engineering teams. • Act as the point of escalation with client-facing problems that need solving.

We are looking for a Data Engineer with experience in the Azure ecosystem to design, build, and optimize modern data solutions. This role will be key in building robust pipelines, scalable architectures, and data platforms oriented toward advanced analytics and strategic decision-making. You will work in dynamic environments under Agile methodologies, collaborating with engineering, analytics, and business teams to ensure data availability, quality, and efficiency. Responsibilities - Design, develop, and maintain scalable and efficient data pipelines (ETL/ELT). - Build and optimize modern data architectures (Data Warehouse and Lakehouse). - Implement data models (primarily dimensional modeling using the Kimball approach). - Integrate multiple data sources ensuring quality, consistency, and availability. - Perform data profiling and anomaly detection. - Optimize SQL queries and performance across data platforms. - Collaborate on defining standards, best practices, and data architecture. - Implement CI/CD processes and DevOps practices applied to data pipelines. - Work under Agile methodologies (Scrum/Kanban) in collaboration with multidisciplinary teams.

We are looking for a Data Engineer with experience in the Azure ecosystem to design, build, and optimize modern data solutions. This role will be key in building robust pipelines, scalable architectures, and data platforms oriented toward advanced analytics and strategic decision-making. You will work in dynamic environments under Agile methodologies, collaborating with engineering, analytics, and business teams to ensure data availability, quality, and efficiency. Responsibilities - Design, develop, and maintain scalable and efficient data pipelines (ETL/ELT). - Build and optimize modern data architectures (Data Warehouse and Lakehouse). - Implement data models (primarily dimensional modeling using the Kimball approach). - Integrate multiple data sources ensuring quality, consistency, and availability. - Perform data profiling and anomaly detection. - Optimize SQL queries and performance across data platforms. - Collaborate on defining standards, best practices, and data architecture. - Implement CI/CD processes and DevOps practices applied to data pipelines. - Work under Agile methodologies (Scrum/Kanban) in collaboration with multidisciplinary teams.

We are looking for a Data Engineer with experience in the Azure ecosystem to design, build, and optimize modern data solutions. This role will be key in building robust pipelines, scalable architectures, and data platforms oriented toward advanced analytics and strategic decision-making. You will work in dynamic environments under Agile methodologies, collaborating with engineering, analytics, and business teams to ensure data availability, quality, and efficiency. Responsibilities - Design, develop, and maintain scalable and efficient data pipelines (ETL/ELT). - Build and optimize modern data architectures (Data Warehouse and Lakehouse). - Implement data models (primarily dimensional modeling using the Kimball approach). - Integrate multiple data sources ensuring quality, consistency, and availability. - Perform data profiling and anomaly detection. - Optimize SQL queries and performance across data platforms. - Collaborate on defining standards, best practices, and data architecture. - Implement CI/CD processes and DevOps practices applied to data pipelines. - Work under Agile methodologies (Scrum/Kanban) in collaboration with multidisciplinary teams.