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Data Engineer

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What you’ll work on

Full posting
  • Design, develop and maintain ETL pipelines feeding the Amazon S3 data lake

  • Implement data validation and quality checks throughout the ETL process

  • Build and schedule automated workflows in Apache Airflow

  • Run ad-hoc querying and analysis in Amazon Athena and tune query performance

  • Troubleshoot pipeline issues, bottlenecks and data quality problems

From the employer’s posting
Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data lake on Amazon S3.
Implement data validation and quality checks to ensure the accuracy and consistency of data throughout the ETL process.
Develop and maintain automated workflows using Apache Airflow to schedule and orchestrate data processing tasks
Utilize Amazon Athena for ad-hoc querying and analysis of data stored in Amazon S3, optimizing query performance and efficiency.
Identify and resolve data pipeline issues, performance bottlenecks, and data quality concerns in a timely manner.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Strong knowledge of Amazon S3, Amazon Athena, and Apache Airflow
  • Proficiency in Python for data manipulation and scripting
  • Basic understanding of data modelling, SQL, and database concepts
Qualification wording
Bachelor's degree in Computer Science, Information Technology, or a related field.
Strong knowledge of Amazon S3, Amazon Athena, and Apache Airflow.
Proficiency in Python programming for data manipulation and scripting.
Basic understanding of data modelling, SQL, and database concepts.
Education & alternatives
Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field. • Strong knowledge of Amazon S3, Amazon Athena, and Apache Airflow. • Proficiency in Python programming for data manipulation and scripting. • Basic understanding of data modelling, SQL, and database concepts. • Excellent problem-solving and troubleshooting skills. • Strong communication and teamwork abilities. • Eagerness to learn and adapt to new technologies and tools. Preferred Qualifications (not mandatory but a plus): • Experience with cloud platforms like AWS. • Familiarity with distributed computing frameworks (e.g., Apache Spark). • Knowledge of data warehousing concepts. • Previous experience with data visualization tools (e.g., Tableau, Power BI). • Previous experience with ML. • Previous experience with Terraform.

Benefits in the posting

Full benefits wording
  • 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.

From the employer’s posting.

About Standard Chartered Bank

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.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Standard Chartered Bank is hiring

38 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Power BI
  • S3
  • Spark
  • Tableau
  • Terraform
  • Airflow
Where the posting names them
Job Summary We 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. Key Responsibilities
Key Responsibilities • Data 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. • Data Quality Assurance: Implement data validation and quality checks to ensure the accuracy and consistency of data throughout the ETL process. • Amazon Athena Expertise: Utilize Amazon Athena for ad-hoc querying and analysis of data stored in Amazon S3, optimizing query performance and efficiency. • Automation: Develop and maintain automated workflows using Apache Airflow to schedule and orchestrate data processing tasks, ensuring timely and reliable data delivery. • Python Programming: Write clean and efficient Python code to support data transformation, integration, and data engineering tasks. • Data Architecture: Collaborate with senior data engineers to design and evolve the data architecture, ensuring scalability and performance of the data infrastructure. • Documentation: Maintain comprehensive documentation of data pipelines, workflows, and processes for future reference. • Troubleshooting: Identify and resolve data pipeline issues, performance bottlenecks, and data quality concerns in a timely manner. • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide data engineering support. Regulatory & Business Conduct
Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field. • Strong knowledge of Amazon S3, Amazon Athena, and Apache Airflow. • Proficiency in Python programming for data manipulation and scripting. • Basic understanding of data modelling, SQL, and database concepts. • Excellent problem-solving and troubleshooting skills. • Strong communication and teamwork abilities. • Eagerness to learn and adapt to new technologies and tools. Preferred Qualifications (not mandatory but a plus): • Experience with cloud platforms like AWS. • Familiarity with distributed computing frameworks (e.g., Apache Spark). • Knowledge of data warehousing concepts. • Previous experience with data visualization tools (e.g., Tableau, Power BI). • Previous experience with ML. • Previous experience with Terraform.
• Bachelor's degree in Computer Science, Information Technology, or a related field. • Strong knowledge of Amazon S3, Amazon Athena, and Apache Airflow. • Proficiency in Python programming for data manipulation and scripting. • Basic understanding of data modelling, SQL, and database concepts. • Excellent problem-solving and troubleshooting skills. • Strong communication and teamwork abilities. • Eagerness to learn and adapt to new technologies and tools. Preferred Qualifications (not mandatory but a plus): • Experience with cloud platforms like AWS. • Familiarity with distributed computing frameworks (e.g., Apache Spark). • Knowledge of data warehousing concepts. • Previous experience with data visualization tools (e.g., Tableau, Power BI). • Previous experience with ML. • Previous experience with Terraform. About Standard Chartered

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Summary

We 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.

Key Responsibilities

•    Data 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.
•    Data Quality Assurance: Implement data validation and quality checks to ensure the accuracy and consistency of data throughout the ETL process.
•    Amazon Athena Expertise: Utilize Amazon Athena for ad-hoc querying and analysis of data stored in Amazon S3, optimizing query performance and efficiency.
•    Automation: Develop and maintain automated workflows using Apache Airflow to schedule and orchestrate data processing tasks, ensuring timely and reliable data delivery.
•    Python Programming: Write clean and efficient Python code to support data transformation, integration, and data engineering tasks.
•    Data Architecture: Collaborate with senior data engineers to design and evolve the data architecture, ensuring scalability and performance of the data infrastructure.
•    Documentation: Maintain comprehensive documentation of data pipelines, workflows, and processes for future reference.
•    Troubleshooting: Identify and resolve data pipeline issues, performance bottlenecks, and data quality concerns in a timely manner.
•    Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide data engineering support.

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.

Skills and Experience

•    Data Pipeline Development
•    Data Quality Assurance

Qualifications

•    Bachelor's degree in Computer Science, Information Technology, or a related field.
•    Strong knowledge of Amazon S3, Amazon Athena, and Apache Airflow.
•    Proficiency in Python programming for data manipulation and scripting.
•    Basic understanding of data modelling, SQL, and database concepts.
•    Excellent problem-solving and troubleshooting skills.
•    Strong communication and teamwork abilities.
•    Eagerness to learn and adapt to new technologies and tools.

 

Preferred Qualifications (not mandatory but a plus):
•    Experience with cloud platforms like AWS.
•    Familiarity with distributed computing frameworks (e.g., Apache Spark).
•    Knowledge of data warehousing concepts.
•    Previous experience with data visualization tools (e.g., Tableau, Power BI).
•    Previous experience with ML.
•    Previous experience with Terraform.

About Standard Chartered

We'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.

Over 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.

What We Offer

  • Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.
  • 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 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.

Visit our careers website to learn more about us: www.sc.com/careers.

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Guangzhou, CN

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