Lead Data Engineer

Location: GLASGOW, LANARKSHIRE, United Kingdom

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge data technologies to power our global operations in investment banking, asset management, and consumer services. As a Lead Data Engineer in our Glasgow technology hub, you will play a pivotal role in maintaining and enhancing critical data pipelines and architectures that underpin our agile teams. This position involves working closely with data scientists, analysts, and business stakeholders to ensure seamless data flow across multiple technical domains, supporting everything from real-time market analytics to regulatory reporting. Your expertise will directly contribute to JP Morgan's mission of delivering secure, efficient, and scalable solutions in the dynamic financial services landscape. In this leadership role, you will design and optimize data infrastructures using modern cloud platforms and big data tools, ensuring they meet the rigorous demands of the financial industry. Responsibilities include building robust ETL processes to handle vast volumes of transactional and market data, implementing monitoring systems for data quality, and driving innovations that enhance performance and compliance. You will mentor team members, foster a culture of continuous improvement, and collaborate on projects that address key challenges like fraud detection and personalized client services. Based in Glasgow, you will benefit from a supportive hybrid work environment that encourages professional growth within one of the world's leading financial institutions. JP Morgan Chase values diversity and inclusion, offering unparalleled opportunities for career advancement in a collaborative setting. This role demands a blend of technical prowess and strategic thinking, with a focus on delivering tangible business impact. If you are passionate about data engineering and eager to contribute to transformative financial technologies, join us in shaping the future of banking at JP Morgan Chase.

Key Responsibilities

• Design, build, and optimize critical data pipelines to support real-time financial analytics and reporting across JP Morgan Chase's global operations
• Collaborate with agile teams to maintain and evolve data architectures that ensure data integrity and scalability in high-volume trading and risk systems
• Implement data quality controls and monitoring to comply with regulatory requirements in the financial services sector
• Integrate diverse data sources from internal systems and external markets to enable advanced analytics for investment banking and asset management
• Troubleshoot and resolve complex data issues in production environments, minimizing downtime for mission-critical financial applications
• Mentor junior data engineers and contribute to best practices for data security and privacy within JP Morgan's technology stack
• Leverage cloud-native tools to enhance data processing efficiency, supporting initiatives in fraud detection and customer insights
• Conduct performance tuning and cost optimization for data infrastructure to align with JP Morgan's commitment to sustainable technology investments
• Participate in code reviews and contribute to the documentation of data engineering standards for team-wide adoption

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field
• 5+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines
• Proficiency in programming languages such as Python, Java, or Scala for data processing
• Strong experience with cloud platforms like AWS, Azure, or GCP, particularly in data storage and processing services
• Demonstrated ability to work in agile environments, collaborating with cross-functional teams in financial services
• Experience with ETL processes and data modeling in high-stakes environments like banking and risk management
• Knowledge of data governance and compliance standards relevant to the financial industry, such as GDPR and SOX

Preferred Qualifications

• Master's degree in Data Science or a related field
• Experience with big data technologies like Hadoop, Spark, or Kafka in financial data workflows
• Familiarity with machine learning pipelines and integration with data engineering practices
• Prior work in a global financial institution, handling sensitive financial datasets
• Certifications in cloud data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer)

Required Skills

• Expertise in SQL and NoSQL databases for querying and managing large-scale financial datasets
• Proficiency in Apache Spark and Kafka for stream processing in real-time trading environments
• Strong Python or Java scripting for automating data workflows and ETL jobs
• Experience with cloud services like AWS S3, Glue, or EMR for scalable data storage and transformation
• Knowledge of data orchestration tools such as Airflow or Luigi for pipeline management
• Understanding of containerization and orchestration with Docker and Kubernetes in secure financial infrastructures
• Analytical problem-solving skills for debugging complex data anomalies in high-stakes scenarios
• Agile methodologies and tools like Jira for collaborative project delivery
• Communication skills for explaining technical concepts to non-technical stakeholders in finance
• Attention to detail in ensuring data accuracy and compliance with regulatory standards
• Team collaboration and leadership abilities in cross-functional agile teams
• Familiarity with version control systems like Git for code management
• Basic knowledge of machine learning frameworks like TensorFlow for data preparation
• Risk assessment skills for identifying potential data vulnerabilities in banking systems
• Adaptability to evolving technologies in the fast-paced financial services industry

Benefits

• Competitive base salary and performance-based annual bonuses tied to firm and individual contributions
• Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
• Generous retirement savings plan with employer matching contributions up to 6% of eligible pay
• Paid time off including vacation, sick leave, and parental leave policies supporting work-life balance
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources tailored to banking professionals
• Hybrid work model with flexibility for remote and in-office collaboration in Glasgow
• Global mobility programs and networking events within JP Morgan Chase's international finance community

JP Morgan Chase is an equal opportunity employer.