Associate Senior Data Engineer

Job Posting Organization:
The World Bank Group is a prominent global partnership consisting of five institutions dedicated to addressing the most pressing development challenges faced by countries around the world. Established with the mission to end extreme poverty and promote shared prosperity, the organization has grown to include 189 member countries and operates in over 130 offices globally. The World Bank Group is recognized as one of the largest sources of funding and knowledge for developing nations, leveraging its extensive resources to invest in innovative projects that utilize data, research, and technology to create sustainable solutions for the most urgent global issues. The organization is committed to fostering a culture of responsible innovation and collaboration with both public and private sector partners to achieve its goals. For more information about the World Bank Group, visit their official website at www.worldbank.org.

Job Overview:
The Associate Senior Data Engineer position at the World Bank Group is a critical role within the Information and Technology Solutions (ITS) Vice Presidential Unit (VPU). This position is designed for individuals who are passionate about leveraging data and technology to support the organization's mission of ending extreme poverty and enhancing shared prosperity. The role involves working closely with various stakeholders, including business analysts, data scientists, and product teams, to understand their data needs and translate them into well-structured, reusable data models. The Associate Senior Data Engineer will be responsible for designing and building dimensional and semantic data models, ensuring that the data transformation processes are efficient, documented, and repeatable. This position also emphasizes the importance of data quality, governance, and the establishment of a single source of truth for enterprise metrics and business definitions. The successful candidate will play a pivotal role in advancing the Bank's digital transformation efforts by enabling data, AI, and information capabilities across the institution, ultimately contributing to the organization's overarching goals.

Duties and Responsibilities:
The duties and responsibilities of the Associate Senior Data Engineer include:

• Data Transformation and Modeling: Design and build dimensional and semantic data models on top of the curated data layer, ensuring that raw data is transformed into business-ready tables. Apply software engineering practices to data transformation code, ensuring that it is modular, reusable, and well-documented.
• Semantic Layer and Metrics Governance: Define and maintain a single source of truth for enterprise metrics and business definitions, preventing inconsistencies across teams. Collaborate with governance teams to align business and technical metadata.
• Testing, Documentation, and Data Quality: Implement automated data quality tests and validation checks throughout the transformation pipeline. Maintain comprehensive documentation of data models and business logic to facilitate self-service for analysts and data scientists.
• Stakeholder Enablement and AI Readiness: Work with business analysts and product teams to understand their use cases and prepare datasets for AI consumption. Build or support dashboards and self-service data products.
• Cross-Cutting Analytics Standards and Interoperability: Define enterprise standards for analytical data products, ensuring consistency and interoperability across business units. Embed analytics standards into platform capabilities through automated validation and compliance checks.

Required Qualifications:
The required qualifications for the Associate Senior Data Engineer position include:

• Education: A Master's degree with at least 8 years of relevant experience or a Bachelor's degree with a minimum of 10 years of experience in data or analytical engineering.
• Role-Specific Experience: A minimum of 7 years of experience in data and/or analytical engineering at an enterprise scale.
• Certification Requirements: Relevant Agile certifications such as SAFe, and industry-recognized certifications in Data and Analytics Engineering, particularly Databricks certifications.
• Required Skills/Abilities: Expertise in analytics engineering practices, strong SQL skills, proficiency in Python, experience with modern lakehouse platforms, and familiarity with data governance tools.

Educational Background:
The educational background required for the Associate Senior Data Engineer position typically includes a Master's degree in a relevant field such as Computer Science, Data Science, Information Technology, or a related discipline. Alternatively, a Bachelor's degree with significant relevant experience may also be acceptable. Candidates should possess a strong foundation in data engineering principles, analytics, and software development practices.

Experience:
Candidates for the Associate Senior Data Engineer position should have a substantial level of experience, typically requiring at least 7 years in data and/or analytical engineering roles at an enterprise scale. This experience should encompass a variety of data engineering tasks, including data modeling, transformation, and governance, as well as familiarity with modern data platforms and tools.

Languages:
The mandatory language for this position is English. Proficiency in additional languages may be considered a plus, although not explicitly required.

Additional Notes:
This position is a local recruitment opportunity with a term duration of 3 years. The World Bank Group offers a comprehensive benefits package, including a retirement plan, medical, life and disability insurance, and paid leave, including parental leave. The organization is committed to diversity and inclusion, ensuring equal opportunities for all candidates regardless of gender, race, ethnicity, sexual orientation, or disability.