Job responsibilities Collaborates with development teams to enhance the developer experience, providing scalable observability tools and infrastructure that support the ingestion of telemetry data across multi regional cloud native services. Executes software solutions, designs, develops, and performs technical troubleshooting with an ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and 3+ years applied experience. Hands on practical experience in system design, application development, testing, and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languages. Overall knowledge of the Software Development Life Cycle. Understanding of Agile methodologies, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.). Demonstrated knowledge in telemetry management: time series storage and optimisation, PromQL or equivalent, ingestion pipelines, parsing/enrichment, retention and cost management, tracing sampling strategies. Experience with public cloud services in production (AWS or other). Experience with infrastructure as code (Terraform or other). Ability to tackle design and functionality problems independently with little to no oversight. Preferred qualifications, capabilities and skills Familiarity with modern front end or back end technologies. Experience with one or more observability platforms and tools such as Prometheus, Grafana, Alertmanager, Loki/ELK/OpenSearch, Jaeger/Zipkin/Tempo, OpenTelemetry Collector, Datadog, Splunk, New Relic, Dynatrace. Experience with GitHub, GitHub Actions, ArgoCD, Terraform Cloud; Slack is considered a plus. Proficient in coding in one or more languages. Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
26/06/2026
Full time
Job responsibilities Collaborates with development teams to enhance the developer experience, providing scalable observability tools and infrastructure that support the ingestion of telemetry data across multi regional cloud native services. Executes software solutions, designs, develops, and performs technical troubleshooting with an ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and 3+ years applied experience. Hands on practical experience in system design, application development, testing, and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languages. Overall knowledge of the Software Development Life Cycle. Understanding of Agile methodologies, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.). Demonstrated knowledge in telemetry management: time series storage and optimisation, PromQL or equivalent, ingestion pipelines, parsing/enrichment, retention and cost management, tracing sampling strategies. Experience with public cloud services in production (AWS or other). Experience with infrastructure as code (Terraform or other). Ability to tackle design and functionality problems independently with little to no oversight. Preferred qualifications, capabilities and skills Familiarity with modern front end or back end technologies. Experience with one or more observability platforms and tools such as Prometheus, Grafana, Alertmanager, Loki/ELK/OpenSearch, Jaeger/Zipkin/Tempo, OpenTelemetry Collector, Datadog, Splunk, New Relic, Dynatrace. Experience with GitHub, GitHub Actions, ArgoCD, Terraform Cloud; Slack is considered a plus. Proficient in coding in one or more languages. Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading edge technology stack underpinning our customer servicing capabilities. We are seeking two talented AI Engineers to join our new AI team dedicated to developing an advanced Agent Assist platform for contact centre agents. You will design, build, and deploy machine learning models and automation solutions, collaborating with backend, Salesforce, and AWS engineers. Key Responsibilities Design and implement AI/ML models to automate agent workflows and display tasks Collaborate with backend, Salesforce, and AWS engineers to integrate AI solutions Optimize model performance and scalability in production environments Participate in proof of concept (POC) initiatives, including internal Agent assist AI tools Monitor, evaluate, and improve AI driven features based on user feedback and metrics Document solutions and contribute to team knowledge sharing Research and prototype innovative agent assist features (30% innovation focus) Required Skills Proficiency in Python is mandatory Strong experience in ML frameworks (TensorFlow, PyTorch, Scikit learn) Hands on experience with cloud platforms, especially AWS Familiarity with RESTful APIs and microservices architecture Experience integrating AI solutions with enterprise platforms such as Salesforce and AWS Excellent problem solving and communication skills Bachelor's or Master's degree in Computer Science, Engineering, or related field Preferred Skills Experience with agent assist or contact centre technologies Exposure to automation and workflow optimization
24/06/2026
Full time
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading edge technology stack underpinning our customer servicing capabilities. We are seeking two talented AI Engineers to join our new AI team dedicated to developing an advanced Agent Assist platform for contact centre agents. You will design, build, and deploy machine learning models and automation solutions, collaborating with backend, Salesforce, and AWS engineers. Key Responsibilities Design and implement AI/ML models to automate agent workflows and display tasks Collaborate with backend, Salesforce, and AWS engineers to integrate AI solutions Optimize model performance and scalability in production environments Participate in proof of concept (POC) initiatives, including internal Agent assist AI tools Monitor, evaluate, and improve AI driven features based on user feedback and metrics Document solutions and contribute to team knowledge sharing Research and prototype innovative agent assist features (30% innovation focus) Required Skills Proficiency in Python is mandatory Strong experience in ML frameworks (TensorFlow, PyTorch, Scikit learn) Hands on experience with cloud platforms, especially AWS Familiarity with RESTful APIs and microservices architecture Experience integrating AI solutions with enterprise platforms such as Salesforce and AWS Excellent problem solving and communication skills Bachelor's or Master's degree in Computer Science, Engineering, or related field Preferred Skills Experience with agent assist or contact centre technologies Exposure to automation and workflow optimization
Locations: 1 Cabot Square, London, E14 4QJ, GB Job Schedule: Full time Job Description Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data driven insights through robust cloud native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud native data platform and pipelines that power analytics, regulatory reporting, and data promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object oriented principles and unit testing Implement infrastructure as code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Uses enterprise authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements Applies reuse first, AI assisted practices to strengthen SDLC quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations Required qualifications, capabilities, and skills Degree in Computer Science or a STEM related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure as code (e.g., Terraform) for cloud based data infrastructure Demonstrated experience using enterprise authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. Preferred qualifications, capabilities, and skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end to end), including use of mocking frameworks Experience with containers and container based deployment environments (e.g., Docker, Kubernetes, or similar) We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
23/06/2026
Full time
Locations: 1 Cabot Square, London, E14 4QJ, GB Job Schedule: Full time Job Description Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data driven insights through robust cloud native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud native data platform and pipelines that power analytics, regulatory reporting, and data promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object oriented principles and unit testing Implement infrastructure as code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Uses enterprise authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements Applies reuse first, AI assisted practices to strengthen SDLC quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations Required qualifications, capabilities, and skills Degree in Computer Science or a STEM related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure as code (e.g., Terraform) for cloud based data infrastructure Demonstrated experience using enterprise authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. Preferred qualifications, capabilities, and skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end to end), including use of mocking frameworks Experience with containers and container based deployment environments (e.g., Docker, Kubernetes, or similar) We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Software Engineer III - AI - Chase UK London, United Kingdom Job Information Job Identification Job Category Software Engineering Business Unit Corporate Sector Posting Date 10/16/2025, 04:30 PM Locations 1 Cabot Square, London, E14 4QJ, GB Job Schedule Full time Job Description At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading-edge technology stack underpinning our customer servicing capabilities. Job responsibilities Contribute to solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Contribute to the building of solutions which leverage generative and agentic AI to better support our customers and stakeholders Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users. See that our data is written and read in a way that's optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems. Ensure our systems are reliable and easy to operate. Required qualifications, capabilities & skills Formal training or certification on AI concepts and proficient applied experience Recent hands-on professional experience as a back-end software engineer Awareness of AI technologies such as OpenAI, Vertex etc. Experience in coding in a recent version of the Java programming language Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communicationskills in English Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Experience with operating, supporting and the security of mission critical software applications. Understanding with different kinds of data stores (including relational data stores) Preferred qualifications, capabilities & skills Awareness of Salesforce and Amazon Connect platforms. Experience applying foundational AI knowledge to configure, deploy, and support AI-powered servicing features. Experience in working in a highly regulated environment / industry Experience in implementing Azure OpenAI / Amazon Bedrock / Google Vertex Seasoned with cloud-native microservices architecture Proficient with AWS cloud technologies Equal Opportunity Employer Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
13/06/2026
Full time
Software Engineer III - AI - Chase UK London, United Kingdom Job Information Job Identification Job Category Software Engineering Business Unit Corporate Sector Posting Date 10/16/2025, 04:30 PM Locations 1 Cabot Square, London, E14 4QJ, GB Job Schedule Full time Job Description At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading-edge technology stack underpinning our customer servicing capabilities. Job responsibilities Contribute to solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Contribute to the building of solutions which leverage generative and agentic AI to better support our customers and stakeholders Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users. See that our data is written and read in a way that's optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems. Ensure our systems are reliable and easy to operate. Required qualifications, capabilities & skills Formal training or certification on AI concepts and proficient applied experience Recent hands-on professional experience as a back-end software engineer Awareness of AI technologies such as OpenAI, Vertex etc. Experience in coding in a recent version of the Java programming language Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communicationskills in English Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Experience with operating, supporting and the security of mission critical software applications. Understanding with different kinds of data stores (including relational data stores) Preferred qualifications, capabilities & skills Awareness of Salesforce and Amazon Connect platforms. Experience applying foundational AI knowledge to configure, deploy, and support AI-powered servicing features. Experience in working in a highly regulated environment / industry Experience in implementing Azure OpenAI / Amazon Bedrock / Google Vertex Seasoned with cloud-native microservices architecture Proficient with AWS cloud technologies Equal Opportunity Employer Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object-oriented principles and unit testing Implement infrastructure-as-code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Required qualifications, capabilities, and skills Degree in Computer Science or a STEM-related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end to end), including use of mocking frameworks Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar) We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
31/05/2026
Full time
Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object-oriented principles and unit testing Implement infrastructure-as-code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Required qualifications, capabilities, and skills Degree in Computer Science or a STEM-related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end to end), including use of mocking frameworks Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar) We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.