Cdp data engineer

Manulife is embarking on a multi-year journey to build a Global Performance & Digital Marketing CoE (Center of Excellence) which will fuel our bold ambition to become a digital customer leader. This global central organization brings together Marketing Technology (Martech), Demand Generation (Demand Gen), Marketing Measurement, Marketing Automation, Personalization, and other functional areas of Digital Marketing to build a comprehensive, full-funnel approach designed to drive tailored customer journeys powered by connected data, that when integrated raises brand awareness, drives quality traffic, generates leads, secures sales, and develops brand loyalty.

We are seeking a skilled and motivated data engineer to join our dynamic team and play a key role in the implementation, optimization, and maintenance of our Customer Data Platform (CDP). The ideal candidate possesses a strong background in data engineering, ETL processes, and data integration, with a passion for unlocking insights from customer data to drive strategic business decisions.

Responsibilities:

• Data Architecture: Work closely with business leads and data architects to design, implement and manage end-to-end CDP architecture based on business requirements.
• Data Mapping & Integration: Collaborate closely with multi-functional teams to design XDM schemas for data from various source systems including Azure data lake, CRM, marketing platforms, and other transactional databases, ensuring accuracy and reliability.
• Data Pipeline Development: Design, develop, and manage end-to-end data pipelines that facilitate the flawless extraction, transformation, and loading of data from diverse sources into the CDP.
• ETL Optimization: Continuously improve and optimize ETL processes to enhance data flow efficiency, minimize latency, and support real-time and batch processing requirements.
• Data Transformation: Implement data cleansing, enrichment, and transformation processes to ensure high-quality data is available for analysis and reporting.
• Data Quality Assurance: Design testing plans, develop and implement data quality checks, validation rules, and supervising mechanisms to maintain data accuracy and integrity within the CDP.
• Platform Enhancement: Collaborate with the technical lead/architect to identify and implement enhancements to the CDP infrastructure, integrations, and functionalities.
• User Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and configurations to facilitate knowledge sharing and onboarding.
• Collaboration: Partner with data analysts, business collaborators, and data scientists to understand data requirements and translate them into effective data engineering solutions.
• Performance Monitoring: Monitor data pipeline performance and solve issues to ensure optimal data flow, and proactively find opportunities for enhancement.
• Data Governance and Compliance: Ensure consistency to data privacy and compliance standards provided by internal compliance teams throughout the data lifecycle within the CDP.

What motivates you?

• You obsess about customers, listen, engage and act for their benefit.
• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
• You thrive in teams and enjoy getting things done together.
• You take ownership and build solutions, focusing on what matters.
• You do what is right, work with integrity and speak up.
• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for:

• Bachelor’s Degree in Computer Science, Information Technology, or a related field. Master's degree is a plus.
• 5+ years of experience as a Data Engineer, with a track record of successfully implementing and maintaining data pipelines and ETL processes.
• Prior experience in working on a Customer Data Platform implementation is a plus.
• Familiarity with XDM (Experience Data Model) concepts is a plus.
• Proficiency in programming languages such as Python, Java, or Scala for data manipulation and transformation.
• Hands-on experience with ETL tools, data integration platforms, and data warehousing concepts.
• Familiarity with cloud platforms (e.g., Azure, Amazon, GCP) and their associated data services.
• Strong understanding of data privacy and compliance regulations and standard methodologies.
• Excellent problem-solving skills and the ability to solve technical issues efficiently.
• Effective communication skills to collaborate with technical and non-technical partners.
• Thorough approach with a commitment to delivering high-quality work in a fast-paced environment.

What can we offer you?

• A competitive salary and benefits packages.
• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
• A focus on growing your career path with us.
• Flexible work policies and strong work-life balance.
• Professional development and leadership opportunities.

Our commitment to you:

• Values-first culture: We lead with our Values every day and bring them to life together.
• Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
• Continuous innovation: We invite you to help redefine the future of financial services.
• Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.