At a Glance
- Tasks: Design and build data pipelines to drive business insights and AI solutions.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Diverse and inclusive workplace with opportunities for growth and development.
- Why this job: Make an impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Experience in data engineering, Python, and Databricks required.
- Other info: Collaborative team culture focused on innovation and excellence.
The predicted salary is between 43200 - 72000 ยฃ 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 JPMorgan Chase'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.
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, longโterm 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.
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets across the world.
Security Services Data Modelling and Engineering - Vice President in Bournemouth employer: JPMorgan Chase
Contact Detail:
JPMorgan Chase Recruiting Team
StudySmarter Expert Advice ๐คซ
We think this is how you could land Security Services Data Modelling and Engineering - Vice President in Bournemouth
โจNetwork Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorganChase. Building relationships can open doors that a CV just can't.
โจShow Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Databricks, Python, and Spark. Share specific examples of how you've built data pipelines or tackled complex data challenges.
โจAsk Smart Questions
During interviews, donโt just wait for questions to be thrown at you. Prepare some insightful questions about the teamโs projects or the companyโs data strategy. It shows you're genuinely interested and engaged!
โจApply Through Our Website
Donโt forget to apply directly through our website! Itโs the best way to ensure your application gets seen by the right people. Plus, it shows youโre proactive and really want to be part of our team.
We think you need these skills to ace Security Services Data Modelling and Engineering - Vice President in Bournemouth
Some tips for your application ๐ซก
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 youโre the right fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why youโre passionate about data engineering and how your background aligns with our mission. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on relevant projects, donโt hesitate to mention them! Whether itโs building data models or optimising ETL processes, we want to see how youโve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. Itโs the best way for us to receive your application and ensures youโre considered for the role. Plus, itโs super easy!
How to prepare for a job interview at JPMorgan Chase
โจKnow Your Data Inside Out
Before the interview, make sure youโre well-versed in data modelling and engineering concepts. Brush up on your experience with Databricks, Python, and Spark. Be ready to discuss specific projects where you designed and optimised data pipelines, as this will show your practical knowledge.
โจShowcase Collaboration Skills
Since the role involves working closely with Data Architects and Business Analysts, prepare examples that highlight your collaborative mindset. Think of times when you successfully worked in a team to deliver a project, and be ready to explain how you communicated and documented your processes.
โจDemonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. They might ask how you would handle data quality checks or optimise a pipeline. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking.
โจFamiliarise Yourself with Governance Standards
Understanding data governance and compliance is crucial for this role. Research the relevant standards and be ready to discuss how youโve ensured data privacy and compliance in your previous work. This will demonstrate your awareness of the importance of these aspects in data engineering.