Wait, What Do You Do?

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Job Summary</b></H2> </div><div><p><span style="">• 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.</span></p> <p><span style="">• 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. </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Key Responsibilities</b></H2> </div><div><p><span style="">• 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. </span><br><span style="">• 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. </span><br><span style="">• Data Quality and Governance - Implement data quality checks, validation frameworks, and monitoring systems to ensure data accuracy, completeness, and reliability across all data pipelines.</span><br><span style="">• Performance Optimization - Optimize data pipelines and queries for performance, scalability, and cost-efficiency, ensuring data is available when needed with minimal latency.</span><br><span style="">• Data Integration - Integrate data from diverse sources including databases, APIs, third-party services, and real-time streaming platforms to create unified data repositories.</span><br><span style="">• Automation and Orchestration - Develop automated workflows using orchestration tools to schedule, monitor, and manage data pipeline execution and dependencies.</span><br><span style="">• 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.</span><br><span style="">• Data Security and Compliance - Implement security best practices, access controls, and ensure compliance with data privacy regulations (GDPR, CCPA, etc.) across all data systems.</span><br><span style="">• Documentation and Knowledge Sharing - Create and maintain comprehensive documentation for data pipelines, architectures, and processes to enable team collaboration and knowledge transfer.</span><br><span style="">• Monitoring and Troubleshooting - Monitor data pipeline health, investigate data discrepancies, and troubleshoot issues to maintain high availability and reliability of data systems.</span><br><span style="">• Innovation and Technology Evaluation - Stay current with emerging data technologies, tools, and best practices, evaluating and recommending new solutions to improve data infrastructure.</span></p> <p><span style=""><strong>Strategy </strong></span><br><span style="">• Supports Hive Tech Lead, Product Area Lead and Engineering in strategy of data infrastructure and roadmap execution.</span><br><span style="">• Deliver data solutions that make a significant contribution to the organization's strategic goals and enable data-driven decision making.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"></H2> </div><div><p><span style="">• Partner with Cloud Service Providers (AWS, Azure, GCP) and data technology vendors to determine the right solutions to business needs.</span><br><span style="">• Contribute to data platform strategy and modernization initiatives across the organization. </span></p> <p><span style=""><strong>Business</strong></span><br><span style="">• Promote engineering craftsmanship and focus on delivering business value through reliable and efficient data solutions.</span><br><span style="">• Responsible for technical delivery and technical excellence of data pipelines and infrastructure across squads.</span><br><span style="">• Works across multiple squads or hives for delivery of complex data integration projects, Features, Epics & Releases.</span><br><span style="">• Point of escalation for data pipeline issues and delivery challenges across all impacted hives and squads.</span><br><span style="">• 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.</span><br><span style="">• Exhibit passion for data quality and reliability with a user-first mindset for data consumers.</span><br><span style="">• Drive the domain towards future state of banking and technology through modern data practices.</span><br><span style="">• Ensure the technical consistency of data solutions with the business architecture, technology architecture and enterprise technology standards. </span></p> <p><span style=""><strong>Processes</strong></span><br><span style="">• Study existing data engineering processes and contribute to improvements to drive up efficiencies in data delivery and operations.</span><br><span style="">• Analyse, remove, or mitigate data dependencies across teams to enable speed and quality of delivery.</span><br><span style="">• Responsible for the preparation of production data outputs and their planning in alignment to ESDLC standards.</span><br><span style="">• Implement DataOps practices to streamline data pipeline development, testing, and deployment.</span></p> <p><span style=""><strong>People & Talent</strong></span><br><span style="">• Work on upskilling technical expertise of Engineers to enable them to become more efficient in data engineering practices and tools.</span><br><span style="">• Mentoring and training the squad on data engineering best practices, technologies, and methodologies.</span><br><span style="">• Share knowledge on data modelling, pipeline design patterns, and performance optimization techniques. </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"></H2> </div><div><p><span style=""><strong>Risk Management</strong></span><br><span style="">• Mitigate delivery risks and issues, and ensure quality, affordability, and scope of delivery.</span></p> <p><span style=""><strong>Governance</strong></span><br><span style="">• 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)</span></p> <p><span style=""><strong>Regulatory & Business Conduct</strong></span><br><span style="">• Display exemplary conduct and live by the Group’s Values and Code of Conduct. </span><br><span style="">• 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.</span><br><span style="">• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</span></p> <p><span style=""><strong>Key stakeholders</strong></span><br><span style="">• Global Head, Credit Origination Technology</span><br><span style="">• FFG Technology Programme Manager</span><br><span style="">• CIB DC & CP Cross Hive Tech Leads (where applicable)</span><br><span style="">• Hive Tech Leads & Product Area Leads, Product Enablement</span><br><span style="">• Hive Product Owner, Product Enablement</span><br><span style="">• HIVE Architects</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Qualifications</b></H2> </div><div><p><span style="">• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related technical field.</span><br><span style="">• Proficiency in programming languages such as Python, Java, and SQL with experience in relevant data processing libraries and frameworks.</span><br><span style="">• Strong understanding of data modelling, ETL/ELT processes, and data warehouse concepts.</span><br><span style="">• Experience with cloud data platforms (AWS, Azure, GCP) and their data services (S3, Redshift, Big Query, Databricks, etc.).</span><br><span style="">• Hands-on experience with data pipeline orchestration tools (Airflow, Prefect, Dragster, or similar).</span><br><span style="">• Strong knowledge of both relational and NoSQL databases, data lakes, and data warehousing solutions.</span><br><span style="">• Excellent problem-solving skills with the ability to troubleshoot complex data pipeline issues.</span><br><span style="">• Ability to think critically about data architecture and design scalable, maintainable solutions.</span><br><span style="">• Strong analytical skills and attention to detail to ensure data quality and accuracy. </span><br><span style="">• Ability to collaborate effectively with cross-functional teams including data scientists, analysts, and business stakeholders.</span><br><span style="">• Experience with version control systems (Git) and CI/CD practices for data pipelines.</span><br><span style="">• Familiarity with streaming platforms (Kafka, Kinesis) and real-time data processing is a plus.</span><br><span style="">• Knowledge of data governance, security best practices, and compliance requirements.</span><br><span style="">• Overall 10+ year Engineering experience in building data-driven applications and 2+ years as promote engineer </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Skills and Experience</b></H2> </div><div><p><span style="">• Full Stack/Back-End Java Engineering</span><br><span style="">• Prompt Engineering</span><br><span style="">• Data Engineering – Java / SQL</span><br><span style="">• Data Engineering – Python / SQL</span><br><span style="">• Data Science</span><br><span style="">• Communication</span><br><span style="">• DevOps</span><br><span style="">• Problem Solving </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>About Standard Chartered</b></H2> </div><div><p>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.</p> <p>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.</p> <p>Together we:</p> <ul> <li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li> <li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li> <li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>What we offer</b></H2> </div><div><p><b>In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p> <ul> <li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li> <li><b>Time-off</b> 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.</li> <li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li> <li><b>Proactive wellbeing support</b> 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</li> <li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li> <li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li> </ul></div></div></div>

Manager, Data Engineering (Tianjin, CN)