Job Summary

• We are seeking a highly skilled and experienced Full Stack Data Engineer with strong expertise in data engineering, feature engineering, and applied AI/ML to join our growing Data & AI initiatives. The ideal candidate will have deep technical proficiency in Python, PySpark, Databricks, SQL, and modern data orchestration platforms such as Airflow and Control-M, with exposure to cloud ecosystems (Azure/AWS) and microservices-based data integration.
• This role will focus primarily on building robust data pipelines, enabling semantic and text-based analytics, and operationalizing AI/ML workloads at scale. The candidate should be capable of designing and maintaining complex data ecosystems while collaborating with cross-functional teams including data scientists, MLOps engineers, and product teams.

Key Responsibilities

Strategy
• Contribute to the definition and execution of the enterprise data engineering and AI strategy aligned with organizational objectives.
• Drive standardization, automation, and optimization across ETL pipelines, data models, and ML workflows.
• Ensure alignment of solution architecture with enterprise data patterns and governance standards.
• Foster innovation by exploring LLM-based frameworks, NLP-driven data solutions for semantic understanding and text analytics and OpenAI APIs
Business
• Understand end-to-end data flows across structured and semi-structured data domains to support analytical and predictive modeling use cases.
• Collaborate with data scientists and analysts to translate business requirements into scalable data models and features.
• Contribute to the design of intelligent data systems that enhance business decision-making through AI/ML.
• Support model training, deployment, and monitoring pipelines in partnership with AI/ML engineers.
Processes
• Design and develop scalable ETL and ELT pipelines using PySpark, Databricks, Airflow.
• Implement data quality, data lineage, and metadata management processes to ensure accuracy and reliability.
• Build and optimize data lakes and warehouses on Azure or AWS platforms, ensuring efficient data access and performance.
• Enable feature engineering workflows and maintain feature stores for ML applications.
• Integrate microservices-based data APIs for cross-system communication and real-time data delivery.
• Conduct data cleaning, enrichment, and semantic analysis leveraging NLP libraries and frameworks.
• Create reusable frameworks for data ingestion, transformation, and validation.
• Implement CI/CD pipelines for data engineering workloads ensuring code quality checks and remediations with SonarQube, Nexus, VPT Scans, etc.
• Good to have knowledge of building containerized applications.

People & Talent
• Mentor junior data engineers and foster a learning culture focused on innovation and excellence.
• Promote DevOps and MLOps best practices, helping teams adopt modern automation and monitoring tools.
• Lead knowledge-sharing sessions across teams to encourage adoption of new data tools, frameworks, and patterns.
• Collaborate with AI researchers and data scientists to productionize experimental models.
Risk Management
• Ensure compliance with data security and privacy regulations, including GDPR and internal risk frameworks.
• Monitor system performance and proactively mitigate risks related to data integrity, scalability, and latency.
• Participate in threat modeling and architectural reviews to ensure adherence to enterprise security standards.
Governance
• Maintain high-quality documentation of data pipelines, ML workflows, and architectural components.
• Ensure all solutions comply with architecture review frameworks (ARF) and data governance standards.
• Participate in regular architectural and code review boards to ensure continuous improvement.
Regulatory & Business Conduct
• 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.

Key stakeholders
• Head of Data Engineering & AI
• Domain Architects and Enterprise Data Architects
• Product Owners & Business Analysts
• Data Scientists and MLOps Engineers
• Cloud Platform Engineering Teams
• Risk & Compliance Partners

Skills and Experience

• Cloud Platforms (Azure / AWS)
• Data Engineering & Pipelines
• Spark / PySpark
• SQL
• Data Science
• Python
• Microservices / APIs

Qualifications

• Education: Bachelor’s Or Master’s Degree In Computer Science, Data Engineering, Or Related Fields.
• Certifications (Preferred): Databricks, Aws/Azure Data Engineer Associate, Airflow, Or Machine Learning Certifications.
• Languages: English

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• 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

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• 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.