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- Tasks: Design and build data pipelines to drive business insights and AI solutions.
- Company: Join JPMorgan Chase's innovative Security Services team.
- Benefits: Competitive salary, career growth, and a chance to work with cutting-edge technology.
- Why this job: Make a real impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Experience in data engineering, Python, and Databricks required.
- Other info: Collaborative culture with opportunities for professional development.
The predicted salary is between 72000 - 108000 £ per year.
Be part of a team that creates the strategic data assets driving business insight, operational excellence, and the next generation of AI solutions. Your work will directly enable the business to answer key questions, track progress on objectives, and unlock new opportunities through data.
As a Data Engineer in the Security Services Data Modelling and Engineering team, within AI Transformation, you will play a pivotal role in building the data foundation that powers business insights, OKR tracking, and AI enablement across JPMorganChase’s Security Services businesses. You will design and develop scalable data pipelines and reusable datasets on Databricks, collaborating with Data Architects and Business Analysts to deliver high-quality, compliant, and business-driven solutions.
Job responsibilities
- Design, build, and optimize data pipelines and transformation workflows on Databricks, leveraging Python and Spark.
- Collaborate with Data Architects and Business Analysts to develop robust data models and clearly document data flows and ETL logic.
- Implement and execute data quality checks and validation modules using Python.
- Maintain transparency and accountability by tracking work and progress in Jira.
- Ensure datasets and pipelines are accurately registered in relevant catalogues and consoles, meeting governance and privacy standards.
Required qualifications, capabilities, and skills
- Proven experience developing data pipelines and solutions on Databricks.
- Strong proficiency in Python, including libraries for data transformation (e.g., pandas).
- Solid understanding of ETL concepts, data modelling, and pipeline design.
- Experience with Spark and cloud data platforms.
- Ability to document data flows and transformation logic to a high standard.
- Familiarity with project management tools such as Jira.
- Collaborative mindset and strong communication skills.
Preferred qualifications, capabilities, and skills
- Experience in financial services or large enterprise data environments.
- Knowledge of data governance, privacy, and compliance requirements.
- Exposure to business analysis and requirements gathering.
Security Services Data Modelling and Engineering - Vice President in England employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Services Data Modelling and Engineering - Vice President in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at JPMorganChase. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects, especially those using Databricks and Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your ETL concepts and data modelling knowledge. Be ready to discuss how you've tackled challenges in previous roles, especially around data quality and governance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining our team and contributing to the exciting work we do.
We think you need these skills to ace Security Services Data Modelling and Engineering - Vice President in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data pipelines, Python, and Databricks to show us you’re the right fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the role.
Showcase Your Projects: If you've worked on relevant projects, don’t hesitate to include them! We love seeing practical examples of your work, especially those involving data modelling and ETL processes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you’re well-versed in data pipelines, ETL concepts, and the tools mentioned in the job description, especially Databricks, Python, and Spark. Brush up on your knowledge of how these technologies work together to create scalable solutions.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Architects and Business Analysts, be prepared to discuss examples of past collaborations. Highlight how you’ve effectively communicated complex data concepts to non-technical stakeholders.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Practice explaining your previous projects, focusing on the design and optimisation of data pipelines. Be ready to tackle questions about data quality checks and validation modules using Python.
✨Demonstrate Your Project Management Savvy
Familiarity with tools like Jira is crucial. Be ready to discuss how you’ve tracked progress and maintained transparency in your previous roles. Share specific examples of how you’ve managed tasks and collaborated within a team setting.
