At a Glance
- Tasks: Lead a team of Data Engineers to innovate and deliver top-notch technology solutions.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of an agile team that values collaboration and continuous learning.
- Why this job: Make a real impact by building scalable, secure solutions in a dynamic environment.
- Qualifications: 3 years of experience in software engineering, strong skills in Python and SQL.
The predicted salary is between 80000 - 100000 € per year.
Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Lead Data Engineer at JPMorgan Chase within the GIB and a part of the Capital Markets Team, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Lead a Squad of Data Engineers to meet business deliveries working with Product and Design leads.
- Lead Agile ceremonies including standups, retros and technical refinements.
- Self-starter able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long-term goals.
- Accelerate team velocity to improve time to market for business solutions.
- Provide frequent updates to senior stakeholders on progress of business deliveries.
- 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.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Own and deliver end-to-end, scalable, and secure solutions in the form of cloud-native microservice architecture applications, leveraging modern technologies and the best industry practices.
- Make sure our releases happen with zero downtime for our end-users.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 3 years applied experience.
- Good working knowledge of AWS, Databricks, and Python.
- Experience across the data lifecycle.
- Advanced at SQL, including joins and aggregations.
- Working understanding of NoSQL databases.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Knowledge of modern software architecture patterns.
- Experience with modern CI/CD platforms such as Circle Ci/Jenkins.
- Experience with modern version control platforms such as GitHub/Bitbucket.
- A desire to teach others and share knowledge.
- A team player mindset where you want to coach other team members on coding practices, design principles, and implementation patterns.
- Adjusts quickly to changing priorities and conditions.
- Copes effectively with complexity and change.
- Learns technologies and patterns quickly.
- Comfortable in uncharted waters.
Preferred qualifications, capabilities, and skills:
- Familiarity with the Standardized data layer practices (Medallion architecture).
- Exposure to Aurora Postgres and MongoDB.
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.
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, colour, 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.
Lead Data Engineer - Python, SQL - Team Lead - Vice President employer: TwinThread
At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Lead Data Engineer, you will not only lead a talented squad but also have access to extensive professional development opportunities, competitive benefits, and the chance to work with cutting-edge technologies in a collaborative atmosphere. Our commitment to diversity and employee growth makes us an exceptional employer for those seeking meaningful and rewarding careers in the heart of the financial capital.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Python, SQL - Team Lead - Vice President
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any innovative solutions you've built or contributed to, especially those that align with the technologies mentioned in the job description.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Lead Data Engineer - Python, SQL - Team Lead - Vice President
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, SQL, and any relevant cloud technologies like AWS. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our agile team. Let us know what excites you about working at StudySmarter.
Showcase Your Team Spirit:Since we value collaboration, share examples of how you've worked in teams before. Whether it's leading Agile ceremonies or mentoring others, we want to see your team player mindset in action!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at TwinThread
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your knowledge of data lifecycle management and modern software architecture patterns. Be ready to discuss specific projects where you've applied these skills.
✨Show Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've successfully led Agile ceremonies or coached team members. Highlight your experience in accelerating team velocity and delivering business solutions.
✨Be Ready for Problem-Solving Questions
Expect questions that test your analytical skills and ability to troubleshoot. Think of scenarios where you’ve investigated and fixed issues promptly. Be prepared to explain your thought process and the tools you used to resolve problems.
✨Communicate Clearly with Stakeholders
Since you'll be providing updates to senior stakeholders, practice articulating complex technical concepts in simple terms. Prepare to discuss how you’ve effectively communicated progress and challenges in past projects.
