Data Quality & Governance Lead jobs at Jpmorgan in Ireland, Dublin

This role is within the CTC Product Security team aligned to the Azure Cloud Enablement (ACE) programme.As a Cloud Security Engineer, your primary responsibility will be to ensure that Public Cloud is adopted in a secure and compliant manner. You will play an important role in identifying and managing risk related issues and actions with respective technology. You will have an eye for detail and an ability to see the big picture across security issues.

Responsibilities:

• Support the execution and enhancement of a long term information risk and control strategy designed to keep the information assets of the public cloud secure.
• Deliver risk based assessments of secure technology controls relating to cloud services, cloud platforms and architectural components.
• Support business technology teams to understand firm control requirements and implementations across a broad range of cloud architectures.
• Perform security reviews of infrastructure-as-code for cloud platform development.
• Contribute to documentation and agile processes in support of security programs.
• Interface with wider CTC teams ensuring platform integration with security operations, threat intelligence, IAM and network security.

Preferred Skills:

• Keen desire to understand and secure public cloud technology.
• Eagerness to collaborate in a team, and comfortable in both virtual and office environments.
• Self-disciplined, self-managed, self-motivated and strong sense of ownership, urgency, and drive.
• Proficient verbal and written communication skills, including the ability to effectively participate in discussions and meetings with internal management, peer groups, regulators and senior stakeholders.
• Ability to prioritize and work under stringent timelines.
• AWS, Azure or Google Cloud certifications would be an advantage.
• Hands on experience of developing, engineering or architecting within a public cloud environment would be an advantage.
• Experience engineering with Terraform or infrastructure-as-code would be an advantage.
• Understanding of DevOps or CI/CD concepts would be an advantage.

Job Summary

As an Associate Compliance and Operations Risk Test Lead within the Testing Center of Excellence, you will play a pivotal role in enhancing our compliance and operational risk management. Your expertise in test execution will be crucial in managing and conducting precise and accountable tests, ensuring alignment with the firm's highest risks. Your analytical thinking and problem-solving skills will be key in identifying control coverage gaps and driving remediation of control issues. You will also be responsible for planning and organizing your own work, and potentially that of a team, while liaising and coordinating activities across various departments. Your role will be integral in ensuring a cohesive and efficient testing framework, contributing to the seamless delivery of quality outcomes.

Job responsibilities

• Conduct comprehensive testing processes, ensuring all activities are completed accurately and on time, while adhering to the firm's highest risk priorities.
• Utilize advanced analytical thinking to identify control coverage gaps and verify that controls are properly designed and implemented.
• Apply problem-solving skills to address complex situations, develop alternate solutions, and interpret policies to ensure compliance with technical standards.
• Collaborate with cross-functional teams to align testing efforts and maintain open communication with stakeholders, ensuring effective execution of tasks.
• Continuously improve control evaluation methods and interpret control ratings and metrics to enhance the firm's compliance and operational risk management.

Required qualifications, capabilities, and skills

• 3+ years of experience in executing and managing testing processes within a professional or specialized field.
• Demonstrated proficiency in analytical thinking, with a track record of systematically organizing, comparing, and evaluating various aspects of a situation to identify key information.
• Proven ability to perform assessments of the control environment, identifying control coverage gaps and verifying the proper design and implementation of controls.
• Experience in coordinating activities across multiple departments, with the ability to adapt to changing priorities and manage a team if required.
• Proficiency in utilizing Project Management methodologies, tools, and techniques to lead and manage aspects of the project management lifecycle.

Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees.

As a Data Engineer at JP Morgan Chase within the Employee Platforms team, you will design, build, and maintain scalable data pipelines and infrastructure to support our data-driven initiatives. Your expertise in AWS, Databricks, and graph database technologies will be crucial in delivering solutions that meet business needs. You will collaborate with data scientists, analysts, and other stakeholders to ensure data quality and consistency, while staying up-to-date with industry trends and technologies.

Job Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services, Databricks, and graph databases.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Implement data integration and transformation processes to ensure data quality and consistency.
• Optimise and manage data storage solutions, ensuring efficient data retrieval and processing.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Stay up-to-date with the latest industry trends and technologies in data engineering and make recommendations for improvements.
• Document data engineering processes, workflows, and best practices.

Required Qualifications, Capabilities, and Skills:

• Formal training or certificate in Computer Science, Information technology and proficient advanced experience.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in AWS services such as S3, Lambda, Glue, and Redshift.
• Experience with Databricks for data processing and analytics.
• Familiarity with thatDot Streaming Graph for real-time data processing.
• Proficiency in programming languages such as Python for scripting and automation.
• Strong SQL skills for querying and managing relational databases.
• Experience with Cypher for querying graph databases.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications, Capabilities, and Skills:

• Experience with data modelling and ETL processes.
• Knowledge of big data technologies such as Apache Spark and Kafka.
• Familiarity with data visualization tools and technique

Job Responsibilities

• Collaborate with business partners, finance, and domain experts to understand business problems and develop new strategies.
• Consult on experimental design and data collection, ensuring compliance with GDPR regulations and best practices in data handling and storage.
• Interpret and present findings to stakeholders and senior management in a clear, logical, and persuasive manner, using effective visualizations.
• Perform ad hoc analysis to provide actionable insights on product performance, customer behavior, and market trends.
• Collaborate with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes.
• Identify unexplored opportunities to change how we do business using data.
• Lead innovation projects to drive advanced analytics.
• Maintain a rigorous control environment to ensure accurate and timely results, with a strong emphasis on compliance with GDPR regulations.

Required Qualifications, Capabilities, and Skills

• 5+ years of experience in applying statistical methods to real-world problems.
• Experience with relational databases, optimizing SQL to pull and summarize large datasets, report creation, and ad-hoc analyses.
• Experience with business intelligence analytics and data preparation tools such as Alteryx, Tableau, Python, etc.
• Leverage expertise in big data and statistics to tackle open-ended business challenges, using predictive analytics and data modeling to support business growth and innovation.
• Bachelor's degree in a quantitative discipline (e.g., Data Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance).
• Ability to understand business context and identify opportunities in data.
• Experience in a dynamic, agile environment within a geographically distributed team.
• Experience with web analytics tools (e.g., Google Analytics, Adobe).
• Highly organized with the ability to prioritize multiple tasks.
• Excellent communication skills and ability to build relationships with key stakeholders.
• Fluency in GDPR regulations and data handling practices, with a strong understanding of how to manage and store data appropriately within the EU.

Preferred Qualifications, Capabilities, and Skills

• Intellectual curiosity, strategic thinking, and ability to solve unstructured problems independently.
• Familiarity with machine learning.
• Experience in marketing analytics.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification onsoftware engineeringconcepts and 3+ years applied experience
• Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)
• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
• Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform
• Familiarity with container and container orchestration such as ECS, Kubernetes, and Docker
• Familiarity with troubleshooting common networking technologies and issues
• Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision
• Ability to proactively recognize road blocks and demonstrates interest in learning technology that facilitates innovation

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies

Job Description: Full Stack Engineer – Governance & Transformation

As a Full Stack Engineer at JPMorgan Chase within the International Consumer Bank, you will be part of a flat-structure organization. Your responsibilities will include delivering end-to-end, cutting-edge solutions in the form of cloud-native microservices architecture applications, leveraging the latest technologies and best industry practices. You will be involved in the design and architecture of solutions, focusing on both front-end and back-end development throughout the entire SDLC lifecycle.

Job Responsibilities

Application Development:

• Design, develop, and maintain full stack applications using Python (FastAPI) for the back end, and GraphQL and React.js for the front end, powering internal tools and platform initiatives focused on observability, SLOs, chaos engineering, and system reliability.

Front-End Engineering:

• Build intuitive, responsive, and visually appealing user interfaces using React.js, ensuring seamless user experiences for internal stakeholders.

Database and Data Handling:

• Implement data-driven solutions using DynamoDB to ensure high performance and stability within our applications.

Code Quality & Testing:

• Deliver clean, efficient, and scalable code while implementing robust unit and functional testing methodologies, code reviews, and continuous integration practices across both front-end and back-end components.

Observability & Reliability:

• Contribute to the design of platforms that provide actionable insights and automated alerting/reporting on SLOs, driving a culture of reliability across the organization.

Collaboration & Innovation:

• Collaborate with cross-functional teams to share best practices and foster a culture of technical innovation, ensuring that our tools not only meet current needs but also adapt to emerging challenges in reliability engineering.

Required Qualifications, Capabilities and Skills

• Formal training or certification in software development concepts and proficient applied experience.
• Proven proficiency in Python back-end development.
• Strong experience with React.js, TypeScript, MUI and modern front-end development practices.
• Experience working with DynamoDB or other NoSQL databases in a production environment.
• Demonstrated ability to design, develop, and deploy scalable web applications across both front-end and back-end.
• Strong commitment to writing clean, maintainable code supported by robust testing and CI practices.
• Excellent problem-solving skills and the ability to work effectively both independently and as part of a collaborative team.
• Strong communication skills and a continuous improvement mindset.

Preferred Qualifications, Capabilities and Skills

• Experience or interest in Site Reliability Engineering (SRE) practices and principles.
• Experience with FastAPI and GraphQL development.
• Experience with additional front-end frameworks or libraries (e.g., Redux, RTL) is a plus.
• Exposure to cloud-native architectures and microservices.