Lead the execution of data engineering projects, ensuring they are delivered on time, within scope, and within budget
Effectively communicate with stakeholders and clients on the status, goals, and value of data engineering initiatives
Focus on the development of pragmatic and efficient client solutions, while also ensuring the underlying data architectures are scalable and robust
Actively engage in data integrations, warehousing, and other engineering tasks, offering hands-on support and expertise
Oversee client deliveries, ensuring high-quality solutions within project constraints, and liaise with client stakeholders as required
Contribute to a data engineering strategy that aligns with the organisation's goals and objectives, while focusing on the practical implementation of this strategy
Proactively identify potential risks and develop effective mitigation strategies, in consultation with the Director of Engineering
Contribute to the management of Croud’s GCP infrastructure, ensuring governance practices are followed, and support the company's cloud adoption efforts
Provide direct supervision, guidance, and support to the data engineering team, fostering a productive and collaborative environment
Work closely with data scientists and analysts to understand their data requirements, ensuring they have access to high-quality and relevant data.
Requirements :
Excellent communication and interpersonal skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders
Experience in overseeing data engineering projects, ensuring they are delivered on time, within scope, and within budget
Demonstrated experience in leading and developing a data engineering team, with a proven track record of successful project delivery
Strong experience in digital analytics, retail analytics and business intelligence with a focus on Marketing
Ability to develop and implement data engineering strategies that align with organizational goals
Demonstrated ability to prioritize and develop client-centric solutions with a focus on practicality and efficiency
Proficiency with cloud-based data warehousing technologies, preferably with experience in GCP and BigQuery.