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: Dynamic, agile environment with a commitment to continuous learning and development.
- Why this job: Make a real impact by shaping the future of technology in finance.
- 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 in London 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, ensuring your growth in the fast-paced financial technology sector. Our commitment to diversity and employee well-being, combined with our cutting-edge projects in a collaborative agile setting, makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Python, SQL - Team Lead - Vice President in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and cloud-native architectures. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t forget to highlight your leadership experience! As a Lead Data Engineer, showing that you can guide a team and lead Agile ceremonies will set you apart from the crowd. Share specific examples of how you've done this in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer - Python, SQL - Team Lead - Vice President in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with Python, SQL, and any relevant cloud technologies like AWS. We want to see how you can contribute to our agile team!
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 your background aligns with our mission at StudySmarter. Don’t forget to mention your leadership experience and team player mindset!
Showcase Your Projects:If you've worked on any cool projects, especially those involving data pipelines or cloud-native applications, make sure to include them. We love seeing practical examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
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 processes and be ready to discuss how you've applied these technologies in real-world scenarios. Being able to share specific examples will show that you’re not just familiar with the tools, but you know how to use them effectively.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead a team. Prepare to talk about your experience with Agile ceremonies and how you've successfully guided teams through standups and retrospectives. Highlight any instances where you've accelerated team velocity or improved time to market for business solutions.
✨Be Ready for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of examples where you’ve investigated and fixed issues promptly, ensuring they didn’t resurface. This is your chance to showcase your analytical skills and your ability to maintain critical data pipelines.
✨Emphasise Your Team Player Mindset
JPMorgan Chase values collaboration, so be prepared to discuss how you’ve coached team members on coding practices and design principles. Share experiences that highlight your desire to teach others and how you adapt quickly to changing priorities while maintaining a positive team dynamic.