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Lead Data Engineer - Vice President - Chase UK

JP Morgan Chase

Software and Technology Jobs

Lead Data Engineer - Vice President - Chase UK

full-timePosted: Dec 5, 2025

Job Description

Lead Data Engineer - Vice President - Chase UK

Location: Bengaluru, Karnataka, India

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Lead Data Engineer - Vice President role in Chase UK offers an exciting opportunity to shape the future of data-driven banking. Based in Bengaluru, Karnataka, India, you will lead a high-performing team in developing cutting-edge data solutions that power our UK operations, from customer insights to risk management. As a key player in our global technology organization, you will drive the creation of scalable, secure data architectures that comply with stringent financial regulations, ensuring our clients receive unparalleled service in a dynamic regulatory landscape. This position is ideal for a seasoned professional passionate about leveraging data to deliver business value in the competitive world of international finance. In this leadership role, you will oversee the end-to-end data engineering lifecycle, from ingestion and transformation to analytics enablement, using state-of-the-art tools and cloud technologies. You will collaborate closely with business units in Chase UK to translate complex financial requirements into robust technical implementations, focusing on areas like real-time transaction processing and predictive analytics for fraud prevention. Your expertise will be crucial in optimizing data flows to support regulatory reporting and enhancing operational resilience, all while fostering a collaborative team environment that aligns with JP Morgan Chase's commitment to ethical data practices and innovation. Joining JP Morgan Chase means becoming part of a prestigious institution renowned for its stability and forward-thinking approach to technology in finance. We offer not just a job, but a platform for career growth in a supportive, inclusive culture that values diversity and professional development. With access to world-class resources and global opportunities, this role positions you to make a tangible impact on our UK banking initiatives while advancing your expertise in data engineering within one of the world's leading financial services firms.

Key Responsibilities

  • Lead the design, development, and maintenance of robust data pipelines to support Chase UK's financial analytics and reporting needs
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver innovative data solutions
  • Ensure data quality, integrity, and compliance with financial regulations such as GDPR and UK banking standards
  • Mentor and guide a team of data engineers, fostering a culture of continuous learning and technical excellence
  • Optimize data architectures for scalability, performance, and cost-efficiency in cloud environments
  • Drive the adoption of advanced technologies like big data tools and ETL frameworks to enhance operational efficiency
  • Identify and mitigate data-related risks, particularly in areas like fraud detection and customer data management
  • Contribute to strategic data initiatives that align with JP Morgan Chase's global technology roadmap
  • Conduct code reviews, implement best practices, and promote secure coding standards in financial data systems
  • Stay abreast of industry trends in financial data engineering and recommend improvements to internal processes

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in data engineering, with at least 3 years in a lead or senior role
  • Proven track record in designing and implementing scalable data pipelines in financial services
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, FCA regulations)
  • Experience with cloud platforms such as AWS, Azure, or GCP, with a focus on data-intensive applications
  • Demonstrated leadership in mentoring teams and driving data engineering best practices
  • Excellent problem-solving skills and ability to handle complex data challenges in high-stakes environments

Preferred Qualifications

  • Experience working with JP Morgan Chase or similar global financial institutions
  • Knowledge of machine learning pipelines and integration with data engineering workflows
  • Certification in relevant technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer)
  • Familiarity with agile methodologies and DevOps practices in data environments
  • Prior exposure to real-time data processing for fraud detection or risk management in finance

Required Skills

  • Proficiency in Python, Java, or Scala for data processing and scripting
  • Expertise in big data technologies like Apache Spark, Hadoop, and Kafka
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Knowledge of ETL tools such as Apache Airflow, Talend, or Informatica
  • Cloud computing skills in AWS (e.g., S3, EMR, Glue) or equivalent
  • Data modeling and warehousing techniques for financial datasets
  • Understanding of containerization and orchestration (Docker, Kubernetes)
  • Familiarity with CI/CD pipelines and version control (Git)
  • Strong analytical and problem-solving abilities in complex data scenarios
  • Excellent communication and stakeholder management skills
  • Leadership and team-building competencies
  • Attention to detail for ensuring data accuracy in regulated environments
  • Adaptability to fast-paced, innovative financial technology landscapes
  • Knowledge of security best practices for sensitive financial data
  • Project management skills for leading data engineering initiatives

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial services standards
  • Comprehensive health, dental, and vision insurance coverage for employees and families
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave policies
  • Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • Employee stock purchase plan and other financial wellness benefits
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Global mobility programs and career advancement within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, Java, or Scala for data processing and scriptingintermediate
  • Expertise in big data technologies like Apache Spark, Hadoop, and Kafkaintermediate
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Knowledge of ETL tools such as Apache Airflow, Talend, or Informaticaintermediate
  • Cloud computing skills in AWS (e.g., S3, EMR, Glue) or equivalentintermediate
  • Data modeling and warehousing techniques for financial datasetsintermediate
  • Understanding of containerization and orchestration (Docker, Kubernetes)intermediate
  • Familiarity with CI/CD pipelines and version control (Git)intermediate
  • Strong analytical and problem-solving abilities in complex data scenariosintermediate
  • Excellent communication and stakeholder management skillsintermediate
  • Leadership and team-building competenciesintermediate
  • Attention to detail for ensuring data accuracy in regulated environmentsintermediate
  • Adaptability to fast-paced, innovative financial technology landscapesintermediate
  • Knowledge of security best practices for sensitive financial dataintermediate
  • Project management skills for leading data engineering initiativesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in data engineering, with at least 3 years in a lead or senior role (experience)
  • Proven track record in designing and implementing scalable data pipelines in financial services (experience)
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, FCA regulations) (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP, with a focus on data-intensive applications (experience)
  • Demonstrated leadership in mentoring teams and driving data engineering best practices (experience)
  • Excellent problem-solving skills and ability to handle complex data challenges in high-stakes environments (experience)

Preferred Qualifications

  • Experience working with JP Morgan Chase or similar global financial institutions (experience)
  • Knowledge of machine learning pipelines and integration with data engineering workflows (experience)
  • Certification in relevant technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) (experience)
  • Familiarity with agile methodologies and DevOps practices in data environments (experience)
  • Prior exposure to real-time data processing for fraud detection or risk management in finance (experience)

Responsibilities

  • Lead the design, development, and maintenance of robust data pipelines to support Chase UK's financial analytics and reporting needs
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver innovative data solutions
  • Ensure data quality, integrity, and compliance with financial regulations such as GDPR and UK banking standards
  • Mentor and guide a team of data engineers, fostering a culture of continuous learning and technical excellence
  • Optimize data architectures for scalability, performance, and cost-efficiency in cloud environments
  • Drive the adoption of advanced technologies like big data tools and ETL frameworks to enhance operational efficiency
  • Identify and mitigate data-related risks, particularly in areas like fraud detection and customer data management
  • Contribute to strategic data initiatives that align with JP Morgan Chase's global technology roadmap
  • Conduct code reviews, implement best practices, and promote secure coding standards in financial data systems
  • Stay abreast of industry trends in financial data engineering and recommend improvements to internal processes

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial services standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and families
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Global mobility programs and career advancement within JP Morgan Chase's international network

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JP Morgan Chase logo

Lead Data Engineer - Vice President - Chase UK

JP Morgan Chase

Software and Technology Jobs

Lead Data Engineer - Vice President - Chase UK

full-timePosted: Dec 5, 2025

Job Description

Lead Data Engineer - Vice President - Chase UK

Location: Bengaluru, Karnataka, India

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Lead Data Engineer - Vice President role in Chase UK offers an exciting opportunity to shape the future of data-driven banking. Based in Bengaluru, Karnataka, India, you will lead a high-performing team in developing cutting-edge data solutions that power our UK operations, from customer insights to risk management. As a key player in our global technology organization, you will drive the creation of scalable, secure data architectures that comply with stringent financial regulations, ensuring our clients receive unparalleled service in a dynamic regulatory landscape. This position is ideal for a seasoned professional passionate about leveraging data to deliver business value in the competitive world of international finance. In this leadership role, you will oversee the end-to-end data engineering lifecycle, from ingestion and transformation to analytics enablement, using state-of-the-art tools and cloud technologies. You will collaborate closely with business units in Chase UK to translate complex financial requirements into robust technical implementations, focusing on areas like real-time transaction processing and predictive analytics for fraud prevention. Your expertise will be crucial in optimizing data flows to support regulatory reporting and enhancing operational resilience, all while fostering a collaborative team environment that aligns with JP Morgan Chase's commitment to ethical data practices and innovation. Joining JP Morgan Chase means becoming part of a prestigious institution renowned for its stability and forward-thinking approach to technology in finance. We offer not just a job, but a platform for career growth in a supportive, inclusive culture that values diversity and professional development. With access to world-class resources and global opportunities, this role positions you to make a tangible impact on our UK banking initiatives while advancing your expertise in data engineering within one of the world's leading financial services firms.

Key Responsibilities

  • Lead the design, development, and maintenance of robust data pipelines to support Chase UK's financial analytics and reporting needs
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver innovative data solutions
  • Ensure data quality, integrity, and compliance with financial regulations such as GDPR and UK banking standards
  • Mentor and guide a team of data engineers, fostering a culture of continuous learning and technical excellence
  • Optimize data architectures for scalability, performance, and cost-efficiency in cloud environments
  • Drive the adoption of advanced technologies like big data tools and ETL frameworks to enhance operational efficiency
  • Identify and mitigate data-related risks, particularly in areas like fraud detection and customer data management
  • Contribute to strategic data initiatives that align with JP Morgan Chase's global technology roadmap
  • Conduct code reviews, implement best practices, and promote secure coding standards in financial data systems
  • Stay abreast of industry trends in financial data engineering and recommend improvements to internal processes

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in data engineering, with at least 3 years in a lead or senior role
  • Proven track record in designing and implementing scalable data pipelines in financial services
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, FCA regulations)
  • Experience with cloud platforms such as AWS, Azure, or GCP, with a focus on data-intensive applications
  • Demonstrated leadership in mentoring teams and driving data engineering best practices
  • Excellent problem-solving skills and ability to handle complex data challenges in high-stakes environments

Preferred Qualifications

  • Experience working with JP Morgan Chase or similar global financial institutions
  • Knowledge of machine learning pipelines and integration with data engineering workflows
  • Certification in relevant technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer)
  • Familiarity with agile methodologies and DevOps practices in data environments
  • Prior exposure to real-time data processing for fraud detection or risk management in finance

Required Skills

  • Proficiency in Python, Java, or Scala for data processing and scripting
  • Expertise in big data technologies like Apache Spark, Hadoop, and Kafka
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Knowledge of ETL tools such as Apache Airflow, Talend, or Informatica
  • Cloud computing skills in AWS (e.g., S3, EMR, Glue) or equivalent
  • Data modeling and warehousing techniques for financial datasets
  • Understanding of containerization and orchestration (Docker, Kubernetes)
  • Familiarity with CI/CD pipelines and version control (Git)
  • Strong analytical and problem-solving abilities in complex data scenarios
  • Excellent communication and stakeholder management skills
  • Leadership and team-building competencies
  • Attention to detail for ensuring data accuracy in regulated environments
  • Adaptability to fast-paced, innovative financial technology landscapes
  • Knowledge of security best practices for sensitive financial data
  • Project management skills for leading data engineering initiatives

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial services standards
  • Comprehensive health, dental, and vision insurance coverage for employees and families
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave policies
  • Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • Employee stock purchase plan and other financial wellness benefits
  • Flexible work arrangements, including hybrid options in Bengaluru
  • Global mobility programs and career advancement within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, Java, or Scala for data processing and scriptingintermediate
  • Expertise in big data technologies like Apache Spark, Hadoop, and Kafkaintermediate
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Knowledge of ETL tools such as Apache Airflow, Talend, or Informaticaintermediate
  • Cloud computing skills in AWS (e.g., S3, EMR, Glue) or equivalentintermediate
  • Data modeling and warehousing techniques for financial datasetsintermediate
  • Understanding of containerization and orchestration (Docker, Kubernetes)intermediate
  • Familiarity with CI/CD pipelines and version control (Git)intermediate
  • Strong analytical and problem-solving abilities in complex data scenariosintermediate
  • Excellent communication and stakeholder management skillsintermediate
  • Leadership and team-building competenciesintermediate
  • Attention to detail for ensuring data accuracy in regulated environmentsintermediate
  • Adaptability to fast-paced, innovative financial technology landscapesintermediate
  • Knowledge of security best practices for sensitive financial dataintermediate
  • Project management skills for leading data engineering initiativesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in data engineering, with at least 3 years in a lead or senior role (experience)
  • Proven track record in designing and implementing scalable data pipelines in financial services (experience)
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, FCA regulations) (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP, with a focus on data-intensive applications (experience)
  • Demonstrated leadership in mentoring teams and driving data engineering best practices (experience)
  • Excellent problem-solving skills and ability to handle complex data challenges in high-stakes environments (experience)

Preferred Qualifications

  • Experience working with JP Morgan Chase or similar global financial institutions (experience)
  • Knowledge of machine learning pipelines and integration with data engineering workflows (experience)
  • Certification in relevant technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) (experience)
  • Familiarity with agile methodologies and DevOps practices in data environments (experience)
  • Prior exposure to real-time data processing for fraud detection or risk management in finance (experience)

Responsibilities

  • Lead the design, development, and maintenance of robust data pipelines to support Chase UK's financial analytics and reporting needs
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver innovative data solutions
  • Ensure data quality, integrity, and compliance with financial regulations such as GDPR and UK banking standards
  • Mentor and guide a team of data engineers, fostering a culture of continuous learning and technical excellence
  • Optimize data architectures for scalability, performance, and cost-efficiency in cloud environments
  • Drive the adoption of advanced technologies like big data tools and ETL frameworks to enhance operational efficiency
  • Identify and mitigate data-related risks, particularly in areas like fraud detection and customer data management
  • Contribute to strategic data initiatives that align with JP Morgan Chase's global technology roadmap
  • Conduct code reviews, implement best practices, and promote secure coding standards in financial data systems
  • Stay abreast of industry trends in financial data engineering and recommend improvements to internal processes

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial services standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and families
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities, including tuition reimbursement and access to JP Morgan's learning platforms
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: Global mobility programs and career advancement within JP Morgan Chase's international network

Target Your Resume for "Lead Data Engineer - Vice President - Chase UK" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Lead Data Engineer - Vice President - Chase UK. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Lead Data Engineer - Vice President - Chase UK" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringFinancial ServicesBankingJP MorganData Engineering

Answer 10 quick questions to check your fit for Lead Data Engineer - Vice President - Chase UK @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.