{"id":3693566,"url":"https://alion.io/job/standard-chartered-data-engineer","title":"Data Engineer","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":96,"open_postings":81,"ghost_share":0,"stale_share":0.321,"repost_share":0.049,"time_to_fill_p50_days":21,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:24:32Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T08:47:11Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nWe are seeking a highly motivated Data Engineer to join our dynamic Data Engineering team. As a Data Engineer, you will play a crucial role in managing and optimizing our data infrastructure, ensuring the reliability and availability of data for our analytics and business intelligence needs. You will work with cutting-edge technologies including Amazon S3, Amazon Athena, Apache Airflow, and Python to build and maintain data pipelines.\nKey Responsibilities\nData Pipeline Development: Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data lake on Amazon S3.\nData Quality Assurance: Implement data validation and quality checks to ensure the accuracy and consistency of data throughout the ETL process.\nAmazon Athena Expertise: Utilize Amazon Athena for ad-hoc querying and analysis of data stored in Amazon S3, optimizing query performance and efficiency.\nAutomation: Develop and maintain automated workflows using Apache Airflow to schedule and orchestrate data processing tasks, ensuring timely and reliable data delivery.\nPython Programming: Write clean and efficient Python code to support data transformation, integration, and data engineering tasks.\nData Architecture: Collaborate with senior data engineers to design and evolve the data architecture, ensuring scalability and performance of the data infrastructure.\nDocumentation: Maintain comprehensive documentation of data pipelines, workflows, and processes for future reference.\nTroubleshooting: Identify and resolve data pipeline issues, performance bottlenecks, and data quality concerns in a timely manner.\nCollaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide data engineering support.\n\nRegulatory & Business Conduct\nDisplay exemplary conduct and live by the Group’s Values and Code of Conduct.\nTake 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.\nEffectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.\nSkills and Experience\nData Pipeline Development\nData Quality Assurance\nQualifications\nBachelor's degree in Computer Science, Information Technology, or a related field.\nStrong knowledge of Amazon S3, Amazon Athena, and Apache Airflow.\nProficiency in Python programming for data manipulation and scripting.\nBasic understanding of data modelling, SQL, and database concepts.\nExcellent problem-solving and troubleshooting skills.\nStrong communication and teamwork abilities.\nEagerness to learn and adapt to new technologies and tools.\nPreferred Qualifications (not mandatory but a plus):\nExperience with cloud platforms like AWS.\nFamiliarity with distributed computing frameworks (e.g., Apache Spark).\nKnowledge of data warehousing concepts.\nPrevious experience with data visualization tools (e.g., Tableau, Power BI).\nPrevious experience with ML.\nPrevious experience with Terraform.\nAbout Standard Chartered\nWe're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.\nOver our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.\nWhat We Offer\nBeing part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.\nIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.\nCore bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.\n 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.\nFlexible working options based around home and office locations, with flexible working patterns.\nProactive 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 self-help toolkits.\n A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual, and digital learning.\nVisit our careers website to learn more about us: 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