Principal Engineer, Data Framework

• Framework Development: Design and implement flexible, metadata-driven frameworks for ETL, workflow orchestration, and data specifications to support efficient pipeline creation.
• Standardization: Establish best practices and reusable components for data ingestion, transformation, and processing to streamline efforts across teams.
• Metadata-Driven Design: Build frameworks leveraging metadata to define and automate ETL processes, workflows, and data specifications, ensuring flexibility and scalability.
• Data Quality Checks: Develop and integrate automated data quality checks into frameworks using tools like Great Expectations or similar solutions.
• Data Integrity Checks: Ensure frameworks include mechanisms to validate data integrity across pipelines, capturing schema changes, record counts, and column-level validations.
• Integration: Build seamless integrations with core platform components like Apache Iceberg, Spark, Kafka, Airflow, and Argo to enable consistent processing across batch and streaming workloads.
• Workflow Orchestration: Develop metadata-driven workflow orchestration frameworks to enable easy configuration and deployment of ETL processes.
• Reliability: Build frameworks with fail-safe mechanisms to handle errors and ensure reliability in pipeline execution.
• Compliance: Ensure frameworks adhere to governance policies and regulatory requirements

• Enablement: Empower data engineers and analysts with user-friendly, metadata-driven frameworks to accelerate development and ensure consistency.
• Stakeholder Alignment: Collaborate with domain and platform teams to ensure frameworks address key business and technical requirements.

• Collaboration: Work closely with platform and data engineers to ensure frameworks align with infrastructure capabilities and operational requirements.
• Skill Sharing: Provide technical documentation and training to engineers and analysts using the frameworks.

• Compliance & Regulatory Adherence: Ensure compliance with internal and external regulatory requirements, including data sovereignty, privacy, and resilience standards.
• Data Governance & Quality: Implement data governance policies implementation to maintain data quality, integrity, accuracy, and consistency across the platform. Implement monitoring tools to proactively address data quality issues.

• Display exemplary conduct and live by the Group's Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

• Rest of Data & Analytics team
• WRB/CIB/GF Architecture teams
• Business and Functions Data & Analytics Team

• Data Architecture

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• Expertise in Python, Java, with a focus on building reusable frameworks.
• Experience with metadata-driven framework design for ETL, workflow orchestration, and data specifications.
• Proficiency in data quality and integrity tools like Great Expectations or similar solutions.
• Hands-on experience with Apache Spark, Kafka, and orchestration tools like Airflow or Argo.
• Familiarity with governance tools like Apache Ranger, OpenLineage, and DataHub.

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Standard Chartered