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For Companies At a Glance
- Tasks: Lead data engineering projects, develop data models, and create robust data pipelines.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to innovation.
- Benefits: Enjoy a diverse workplace, opportunities for growth, and a focus on inclusion.
- Why this job: Be part of an agile team making a meaningful impact through data solutions.
- Qualifications: Proficiency in data analysis tools, experience with databases, and knowledge of data warehousing.
- Other info: Open to diverse talents; we value your unique skills and perspectives.
The predicted salary is between 43200 - 72000 £ per year.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorgan Chase within the Infrastructure Platforms organization, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm\’s business objectives.
Job responsibilities
- Data Modeling: Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms.
- Data Platform Solutions: Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions.
- Data Pipeline Development: Define and create robust data pipelines for ingestion, processing, and transformation.
- Data Warehouse Design: Model and design future data warehouse architecture for business intelligence and analytics.
- Stakeholder Collaboration: Work with stakeholders and key partners to understand and solve their data needs.
- Innovation and Best Practices: Stay updated on industry trends and implement best practices for data management.
Required qualifications, capabilities, and skills
- Formal training or certification on data analysis tools and techniques concepts and proficient advanced experience
- Proficiency in data analysis tools and techniques
- Experience with data visualization tools like Tableau, Power BI, or similar
- Working experience with both relational and NoSQL databases
- Experience and proficiency across the data lifecycle
- Experience with database back-up, recovery, and archiving strategy
- Proficient knowledge of linear algebra, statistics, and geometrical algorithms
- Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks.
Preferred Qualifications
- Understanding of machine learning concepts and tools is a plus.
About Us
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. Visit our FAQs for more information about requesting an accommodation.
About the Team
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-18808-Ljbffr
Lead Data Engineer employer: Quality Control Specialist - Pest Control
Contact Detail:
Quality Control Specialist - Pest Control Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as Amazon Redshift, Snowflake, and Databricks. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of JPMorgan Chase, especially those in data engineering roles. They can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Stay updated on the latest trends in data engineering and analytics. Being able to discuss recent advancements or best practices in the field can demonstrate your passion and commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your experience with stakeholder collaboration. Be ready to share examples of how you've successfully identified and addressed data needs in previous roles, as this aligns closely with the responsibilities of the position.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Lead Data Engineer role. Focus on your proficiency in data analysis tools, database management, and any experience with data visualization tools like Tableau or Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to develop data models and design data platforms.
Highlight Collaboration Skills: Since the role involves working with stakeholders, emphasise your collaboration skills in both your CV and cover letter. Provide examples of how you've successfully worked with teams to meet data needs and solve problems.
Showcase Continuous Learning: Mention any recent training, certifications, or self-study related to data engineering, machine learning, or industry trends. This shows your commitment to staying updated and implementing best practices in your work.
How to prepare for a job interview at Quality Control Specialist - Pest Control
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your proficiency in data analysis tools and techniques. Be prepared to discuss your experience with data modelling, pipeline development, and database management. Bring examples of past projects where you've successfully implemented these skills.
✨Understand the Business Context
It's crucial to understand how your role fits within the broader business objectives. Research JPMorgan Chase's goals and think about how your work as a Lead Data Engineer can contribute to those aims. This will show your potential employer that you're not just technically skilled but also aligned with their mission.
✨Prepare for Stakeholder Collaboration Questions
Expect questions about how you collaborate with stakeholders to meet their data needs. Prepare examples of how you've worked with different teams or departments in the past, focusing on your communication skills and ability to translate technical jargon into understandable terms.
✨Stay Updated on Industry Trends
Demonstrating knowledge of current trends in data engineering and analytics can set you apart. Be ready to discuss recent advancements in data warehousing solutions or machine learning concepts, and how you might apply these innovations at JPMorgan Chase.
