Manager, Data Engineering

Nightingale College is hiring a Data Engineering Manager to lead a team that builds and maintains scalable data pipelines and architectures. The role drives data automation and analytics initiatives while ensuring data integrity, quality, and alignment with organizational goals.

Responsibilities:

• Team Leadership & Development: Lead, mentor, and develop a team of data engineers, fostering a collaborative and high-performing work culture. Provide technical guidance and oversight on complex data engineering projects and initiatives. Conduct technical demos, share research findings, and foster an environment of continuous learning
• Data Pipeline Management: Create, manage, optimize, and monitor data pipelines to transform and cleanse data from source systems, ensuring data integrity and accessibility for end-users. Oversee the design, build, and maintenance of scalable data architectures that support organizational analytics and business intelligence needs
• Process Improvement & Automation: Identify, design, and implement process improvements, including automating manual processes and optimizing data delivery. Champion the adoption of best practices in data engineering, leveraging modern technologies to enhance productivity and scalability
• Project Management: Prioritize, plan, and oversee data engineering projects, maintaining a project catalog and tracking progress toward key milestones and deliverables. Ensure timely delivery of high-quality solutions that meet business requirements
• Troubleshooting & Optimization: Assist in the analysis, troubleshooting, and enhancement of existing data integration processes. Perform complex data analyses to diagnose and remediate data quality issues, ensuring accurate and reliable data outputs

Requirements:

• The role requires a strategic thinker with strong technical expertise, leadership skills, and a passion for building efficient, high-performing data systems
• Bachelor's degree in Computer Science,  Data Science, Engineering, or a related field
• 5+ data engineering, analytics engineering, or related field, with at least 2 years in a leadership role
• Proven track record of building, managing, and mentoring technical teams
• Strong problem-solving skills, with a focus on identifying root causes and implementing data-driven solutions
• Experience using REST APIs, SFTP, file manipulation, JSON, and XML
• Expertise in Python, SQL, and data transformation tools such as dbt
• Strong understanding of ETL/ELT processes and data architecture principles
• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Demonstrated experience with Git repositories for code versioning and collaboration
• Advanced certifications in data management (CDMP, CBIP, DAMA, DGSP) are a plus