Director of Data Engineering
Director of Data Engineering

Director of Data Engineering

Full-Time 54000 - 84000 £ / year (est.) No home office possible
J

At a Glance

  • Tasks: Lead data engineering projects, build data pipelines, and enhance analytics solutions.
  • Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity and inclusion.
  • Benefits: Enjoy competitive pay, remote work options, and a culture that values your unique talents.
  • Why this job: Be at the forefront of innovation, driving impactful technology solutions in a collaborative environment.
  • Qualifications: Experience in software engineering, data modelling, and leading tech teams is essential.
  • Other info: Opportunity to work with cutting-edge technologies like Databricks, AWS, and more.

The predicted salary is between 54000 - 84000 £ per year.

As a Director of Software Engineering at JPMorgan Chase within the Corporate Technology, Regulatory Reporting Team, you will be at the helm of a technical area, influencing teams, technologies, and projects across various departments. Your extensive understanding of software, applications, technical processes, and product management will be instrumental in steering multiple complex projects and initiatives. As the primary decision maker for your teams, you will be a catalyst for innovation and solution delivery.

You are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple areas within various business functions in support of the firm’s objectives. You will be responsible to build and transform data strategy to ensure data is being consumed and leveraged within the ecosystem of the application suite appropriately. Data processing pipelines that include setting, leveraging data models and entities in data lake environment (on-prem or AWS), data sourcing, ingestion, enrichment and business reporting, build or enhance data analytics and reporting solutions are using technologies like Databricks, Python, Java, various in-house applications and public cloud platforms (AWS) services and BI tools like Tableau, Cognos, Alteryx.

Job responsibilities:

  • Obtain formal training or certification on Databricks concepts and expert applied experience.
  • Defining Data strategy, consumption pattern, data lineage and contracts.
  • Working with senior business/tech stakeholders on consumption patterns and SLAs including Op model for different asset class dataset.
  • Lead the initiatives to setup and leverage data models and entities in data lake environment (internal and public cloud like AWS).
  • Build data pipelines that include sourcing information, writing logic for ingestion, enrichment and business analytics and reporting.
  • Integrate data pipeline with analytical and reporting tools (includes Tableau, Cognos, Alteryx and Java based applications).
  • Customize GAIA and Public Cloud (AWS) based UI/UX applications.
  • Perform data analysis, performance tuning and issue investigations (on databases, Databricks, Big data and Cloud platforms).
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
  • Create tools for automation, business logic generation, testing and data reconciliation.
  • Participate in design discussion and code reviews.
  • Delivers technical solutions that can be leveraged across multiple businesses and domains.
  • Develops secure high-quality production code, and reviews and debugs code written by others.
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams and leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
  • Champions the firm’s culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering, SDLC concepts and expert applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Extensive hands-on development industry experience and in-depth knowledge of Databricks (including DLT), databases (Oracle or DB2 or Sybase), any Query Language like PL/SQL, Domain specific Language (DSL) and in data modeling.
  • Proficiency in automation and continuous delivery methods with deep understanding/practical know how on the importance of Regression Testing and Code Coverage.
  • Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
  • Practical cloud native experience.
  • Experience developing or leading cross-functional teams of technologists.
  • Experience with hiring, developing, and recognizing talent.
  • Experience leading a product as a Product Owner or Product Manager.

Preferred qualifications, capabilities, and skills:

  • Experience working at code level.
  • In-depth knowledge of the financial services industry and their IT systems (Exposure to Regulatory reporting domain will be preferable).
  • Knowledge of Kafka, Spark and Scala, Kubernetes will be preferred.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

J

Contact Detail:

J.P. MORGAN-1 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Director of Data Engineering

✨Tip Number 1

Familiarise yourself with the latest technologies mentioned in the job description, such as Databricks, AWS, and BI tools like Tableau. Being able to discuss these technologies confidently during your interview will show that you're proactive and knowledgeable.

✨Tip Number 2

Network with professionals in the data engineering field, especially those who have experience in financial services or regulatory reporting. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss your leadership experience in managing cross-functional teams. Highlight specific examples where you successfully led projects or initiatives, as this role requires strong leadership skills.

✨Tip Number 4

Stay updated on industry trends related to data strategy and cloud technologies. Being able to articulate how these trends impact the financial services sector will demonstrate your strategic thinking and relevance to the role.

We think you need these skills to ace Director of Data Engineering

Data Strategy Development
Data Modelling
Data Pipeline Construction
Databricks Expertise
Cloud Computing (AWS)
Software Development Life Cycle (SDLC)
Application Development
Performance Tuning
Automation and Continuous Delivery
Agile Methodologies (CI/CD)
Database Management (Oracle, DB2, Sybase)
Query Languages (PL/SQL)
Cross-Functional Team Leadership
Technical Troubleshooting
Regulatory Reporting Knowledge
Kafka, Spark, and Scala Familiarity
Code Review and Debugging
Stakeholder Engagement
Talent Development and Recognition

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, software development, and leadership. Use keywords from the job description to demonstrate that you meet the qualifications and capabilities required for the role.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's objectives. Mention specific projects or experiences that showcase your expertise in data strategy and technical leadership.

Showcase Technical Skills: Clearly outline your technical skills related to Databricks, cloud platforms, and programming languages mentioned in the job description. Provide examples of how you've applied these skills in previous roles to solve complex problems.

Highlight Leadership Experience: Emphasise your experience in leading cross-functional teams and managing projects. Include examples of how you've influenced stakeholders and driven innovation within your previous positions.

How to prepare for a job interview at J.P. MORGAN-1

✨Showcase Your Technical Expertise

As a Director of Data Engineering, it's crucial to demonstrate your extensive knowledge in software engineering and data management. Be prepared to discuss your hands-on experience with Databricks, data modelling, and cloud platforms like AWS. Highlight specific projects where you've successfully implemented these technologies.

✨Prepare for Leadership Questions

Expect questions about your leadership style and experience managing cross-functional teams. Be ready to share examples of how you've led teams through complex technical challenges and fostered innovation. Discuss your approach to mentoring and developing talent within your team.

✨Understand the Business Context

Familiarise yourself with the financial services industry and the specific regulatory reporting domain. This will help you articulate how your technical solutions can align with business objectives. Research JPMorgan Chase's recent initiatives and be prepared to discuss how you can contribute to their goals.

✨Demonstrate Problem-Solving Skills

Be ready to tackle hypothetical scenarios or case studies during the interview. Show your ability to think critically and creatively when faced with technical problems. Discuss your experience in performance tuning, issue investigations, and how you've automated processes to improve operational stability.

Director of Data Engineering
J.P. MORGAN-1
J
  • Director of Data Engineering

    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2027-06-18

  • J

    J.P. MORGAN-1

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