Fullstack Ml Engineer

Job Summary We are seeking a passionate and skilled Full Stack Data Engineer to join our Data AI Engineering team The ideal candidate will have solid hands-on experience in data engineering real-time data processing and applied AI ML working across technologies like Python PySpark Databricks and Airflow on Azure and AWS platforms This role focuses on designing and implementing scalable batch and streaming data pipelines enabling semantic and text analytics and supporting machine learning workloads The candidate should have hands-on exposure to Spark Structured Streaming Kafka and Solace along with a strong understanding of data quality orchestration and governance principles Key Responsibilities Strategy Contribute to the execution of the enterprise data and AI strategy ensuring alignment with the organization s data architecture and governance framework Support automation optimization and standardization of data pipelines across business domains Explore and apply OpenAI APIs NLP frameworks and LLM-based models to build data enrichment and text analytics capabilities Participate in continuous improvement initiatives aimed at improving data quality performance and efficiency Business Work closely with data scientists business analysts and architects to understand data needs and translate them into reliable data pipelines and features Design and implement data ingestion transformation and processing frameworks to support analytics reporting and ML AI use cases Ensure data accuracy consistency and timeliness across multiple systems and domains Contribute to model operationalization pipelines by collaborating with AI ML engineering teams Processes Build and maintain ETL ELT pipelines using PySpark Databricks Airflow and Control-M Implement real-time data streaming solutions using Spark Structured Streaming Kafka and Solace Perform data cleaning transformation and semantic enrichment for both structured and unstructured datasets Support feature engineering and maintain reusable feature sets for ML workloads Integrate with microservices and APIs to enable secure and efficient data sharing 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 Collaborate with cloud and platform teams to ensure solutions are secure compliant and cost-optimized People Talent Collaborate closely with senior data engineers architects and AI teams to deliver high-quality data products Proactively learn and adapt to emerging tools and frameworks in the data and AI ecosystem Contribute to internal knowledge-sharing sessions and communities of practice Demonstrate ownership accountability and strong problem-solving abilities within cross-functional teams Risk Management Ensure all data pipelines and solutions comply with bank s information security and regulatory standards Identify and mitigate potential data quality or performance issues early in the development lifecycle Participate in code and architecture reviews to uphold engineering and compliance best practices Governance Maintain clear documentation of pipelines data flows and solution designs Support submission of solution architectures to Architecture Review Forum ARF and other governance bodies Ensure all deliverables meet required quality and compliance standards 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 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 Skills and Experience Cloud Platforms Azure AWS Data Engineering Pipelines Spark PySpark SQL Data Science Python Microservices APIs 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 43625