Ml Feature Engineer

Job Summary We are seeking an experienced Senior Data Engineer 8 years to drive the design development and scaling of enterprise-grade data platforms and AI-ready pipelines This role requires deep hands-on expertise in distributed data processing data lakes lakehouse architectures real-time streaming and cloud-native data engineering Azure AWS The ideal candidate is highly skilled in Python Spark SQL cloud data services orchestration frameworks and modern metadata quality and lineage practices This role will focus on building secure scalable and reusable data infrastructure that powers analytical machine learning and generative AI workloads You will collaborate closely with data scientists ML engineers and product technology teams to build production-grade data products feature pipelines and self-service data capabilities across structured semi-structured and unstructured data domains Key Responsibilities Strategy Shape and execute enterprise data engineering strategy supporting AI ML adoption at scale Drive design and evolution of lakehouse architecture data mesh patterns and scalable compute environments Standardize data ingestion transformation feature engineering and observability practices across teams Evaluate emerging cloud data services open-table formats e g Delta Parquet and metadata platforms to future-proof data foundations Business Understand complex business data domains operational systems and analytics use cases to build aligned data assets Partner with data scientists to create production-grade feature pipelines model inputs and real-time inference data flows Work with product engineering and analytics teams to deliver AI-driven insights automation and decision-support systems Processes Work with product engineering and analytics teams to deliver AI-driven insights automation and decision-support systems Architect and maintain data lakes lakehouses data marts and streaming pipelines Kafka Kinesis EventHub Implement automated data quality lineage cataloging and governance frameworks Develop feature stores and reusable data assets for ML LLM workloads Enable real-time data ingestion event processing and low-latency transformations Integrate data with microservices and real-time APIs for ML model serving and monitoring Establish CI CD automation modular code practices and version control for data pipelines Ensuring code quality checks and remediations with SonarQube Nexus VPT Scans etc Good to have knowledge of building containerized applications Optimize cost performance and reliability across compute storage and orchestration layers People Talent Mentor junior and mid-level data engineers to build deep engineering excellence Champion best practices in distributed processing cloud architecture and data observability Drive continuous learning in data engineering ML-ready data design and emerging AI technologies Collaborate closely with ML engineering teams Risk Management Implement security-first design for sensitive data handling encryption and access control Ensure pipeline reliability fault tolerance and incident-ready monitoring Manage risk for data integrity model drift dependencies and real-time data service SLAs 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 Data Engineering Pipelines SQL Python Spark PySpark Data Science Cloud Platforms Azure AWS Qualifications Education Bachelor s or Master s Degree In Computer Science Data Engineering or Related Fields Certifications Preferred Azure Or Aws Data Engineering Certification Databricks Kafka Streaming Platforms Airflow Orchestration 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 43623