Description The Data Engineering Lead will be responsible for overseeing the design, development, and maintenance of our data infrastructure. This role involves leadership responsibilities, including managing a team of data engineers, setting technical direction, and collaborating with cross-functional teams to deliver robust data solutions for Old Mutual.The role incumbent will have a strong technical background, leadership skills, and a proven track record of successfully leading data engineering projects.Key Responsibilities:Technical Leadership: Lead the development and implementation of data architecture and engineering solutions. Provide technical direction and guidance to the data engineering team.Team Management: Manage and mentor a team of data engineers, fostering a collaborative and innovative team culture. Conduct regular performance assessments, set goals, and provide constructive feedback.Project Management: Oversee the planning, execution, and delivery of data engineering projects. Collaborate with stakeholders to define project requirements and ensure successful project outcomes.Data Strategy and Roadmap: Contribute to the development of the company's data strategy and roadmap. Collaborate with senior management to align data initiatives with overall business goals.Cross-functional Collaboration: Work closely with data scientists, analysts, software developers, and other teams to understand business needs and ensure effective data solutions.Act as a key liaison between the data engineering team and other business units.Quality Assurance and Best Practices: Ensure the implementation of data governance policies, best practices, and industry standards.Lead efforts to maintain high data quality, integrity, and compliance with regulatory requirements.Innovation and Technology Adoption: Stay abreast of emerging technologies and industry trends in data engineering. Evaluate and recommend new tools and technologies to enhance the data engineering capabilities of the team.Qualifications:Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.10+ years of experience in data engineering with a focus on leadership and project management.Proven experience managing and leading a team of data engineers.Expert proficiency in programming languages such as Python,PySpark,Flink,SQL, and advanced scripting languages.In-depth knowledge of data warehousing concepts, big data technologies, and cloud platforms (e.g., AWS, Azure, Google Cloud).Strong analytical and problem-solving skills with a strategic mindset.Excellent communication and collaboration skills.Preferred Skills:Certifications in relevant data engineering, cloud, or leadership domains.Experience with real-time data processing and streaming technologies.Knowledge of containerization and orchestration tools (e.g., Docker,Airflow,Kubernetes).Familiarity with data security and privacy considerations.SkillsEducationClosing Date09 April 2024
