We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

• 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.