Job Summary
This is a 12 Months Direct Contract role.
As a Data Engineer your responsibilities include designing, building, and maintaining scalable data infrastructure and pipelines that enable data-driven decision making across the organization. You will work closely with data scientists, analysts, business stakeholders, and development teams to ensure reliable, efficient, and secure data flow from various sources to analytics and reporting platforms.
Ultimately, you will be hands on working directly with cross-functional teams to architect and implement robust data solutions that support business intelligence, machine learning models, and operational reporting needs.
Key Responsibilities
• Data Pipeline Development and Maintenance - Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Data Architecture and Infrastructure - Design and implement data architecture solutions including data warehouses, data lakes, and streaming platforms using modern cloud technologies and best practices.
• Data Quality and Governance - Implement data quality checks, validation frameworks, and monitoring systems to ensure data accuracy, completeness, and reliability across all data pipelines.
• Performance Optimization - Optimize data pipelines and queries for performance, scalability, and cost-efficiency, ensuring data is available when needed with minimal latency.
• Data Integration - Integrate data from diverse sources including databases, APIs, third-party services, and real-time streaming platforms to create unified data repositories.
• Automation and Orchestration - Develop automated workflows using orchestration tools to schedule, monitor, and manage data pipeline execution and dependencies.
• Collaboration with Data Teams - Work closely with data scientists, analysts, and business intelligence teams to understand data requirements and deliver data solutions that enable insights and analytics.
• Data Security and Compliance - Implement security best practices, access controls, and ensure compliance with data privacy regulations (GDPR, CCPA, etc.) across all data systems.
• Documentation and Knowledge Sharing - Create and maintain comprehensive documentation for data pipelines, architectures, and processes to enable team collaboration and knowledge transfer.
• Monitoring and Troubleshooting - Monitor data pipeline health, investigate data discrepancies, and troubleshoot issues to maintain high availability and reliability of data systems.
• Innovation and Technology Evaluation - Stay current with emerging data technologies, tools, and best practices, evaluating and recommending new solutions to improve data infrastructure.
• Supports Hive Tech Lead, Product Area Lead and Engineering in strategy of data infrastructure and roadmap execution.
• Deliver data solutions that make a significant contribution to the organization's strategic goals and enable data-driven decision making.
• Partner with Cloud Service Providers (AWS, Azure, GCP) and data technology vendors to determine the right solutions to business needs.
• Contribute to data platform strategy and modernization initiatives across the organization.
• Promote engineering craftsmanship and focus on delivering business value through reliable and efficient data solutions.
• Responsible for technical delivery and technical excellence of data pipelines and infrastructure across squads.
• Works across multiple squads or hives for delivery of complex data integration projects, Features, Epics & Releases.
• Point of escalation for data pipeline issues and delivery challenges across all impacted hives and squads.
• Work with Change Delivery Manager (Release Manager) to develop delivery and release plans for data projects with technical dependencies, aligning all partners with support from the team and architect.
• Exhibit passion for data quality and reliability with a user-first mindset for data consumers.
• Drive the domain towards future state of banking and technology through modern data practices.
• Ensure the technical consistency of data solutions with the business architecture, technology architecture and enterprise technology standards.
• Study existing data engineering processes and contribute to improvements to drive up efficiencies in data delivery and operations.
• Analyse, remove, or mitigate data dependencies across teams to enable speed and quality of delivery.
• Responsible for the preparation of production data outputs and their planning in alignment to ESDLC standards.
• Implement DataOps practices to streamline data pipeline development, testing, and deployment.
• Work on upskilling technical expertise of Engineers to enable them to become more efficient in data engineering practices and tools.
• Mentoring and training the squad on data engineering best practices, technologies, and methodologies.
• Share knowledge on data modelling, pipeline design patterns, and performance optimization techniques.
• Mitigate delivery risks and issues, and ensure quality, affordability, and scope of delivery.
• Support the remediation of tech compliance (ESDLC) requirements through the delivery lifecycle (design reviews, security reviews, code reviews, SAT, OAT, etc.) with support from HTL (Hive Tech Lead) / PO / CPO Chief Product Owner)
• 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
• Global Head, Credit Origination Technology
• FFG Technology Programme Manager
• CIB DC & CP Cross Hive Tech Leads (where applicable)
• Hive Tech Leads & Product Area Leads, Product Enablement
• Hive Product Owner, Product Enablement
• HIVE Architects
Our Ideal Candidate
• 10+ year Engineering experience in building data-driven applications and 2+ years as promote engineer.
• Proficiency in programming languages such as Python and experience with relevant libraries and frameworks.
• Strong understanding of NLP concepts and techniques.
• Experience working with large language models and other AI systems.
• Excellent written and verbal communication skills, with a passion for language and storytelling.
• Ability to think creatively and solve problems, adapting to new challenges and changing priorities.
• Strong analytical skills and attention to detail to evaluate and optimize prompts.
• Ability to collaborate effectively with a cross-functional team.
• Familiarity with programming languages and scripting skills are a plus.
• Languages - Business Communication
• Bachelor’s degree in computer science, linguistics, writing, or a related field
Role Specific Technical Competencies
• Full Stack/Back-End Java Engineering
• Prompt Engineering
• Data Engineering – Java / SQL
• Data Engineering – Python / SQL
• Data Science
• Communication
• DevOps
• Problem Solving
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.
Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
Visit our careers website www.sc.com/careers
