At a Glance
- Tasks: Design and build data pipelines to drive business insights and AI solutions.
- Company: Join JPMorganChase, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion while advancing your career in tech.
- Why this job: Make an impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Experience with Databricks, Python, and strong data modelling skills required.
The predicted salary is between 60000 - 80000 € 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 - Senior Associate 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.
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.
Security Services Data Modelling and Engineering - Senior Associate employer: TwinThread
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Associate in our Security Services Data Modelling and Engineering team, you will have access to cutting-edge technology and the opportunity to work alongside industry experts, all while contributing to meaningful projects that drive business insights and operational excellence. We are committed to your professional growth, providing ample opportunities for development and a diverse, inclusive environment where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Security Services Data Modelling and Engineering - Senior Associate
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorganChase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills, especially Python and Spark. We recommend doing some hands-on practice with data pipelines to showcase your expertise during the interview.
✨Tip Number 3
Showcase your collaborative spirit! Be ready to discuss how you've worked with Data Architects and Business Analysts in the past. Highlighting your teamwork will resonate well with the hiring team.
✨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 serious about joining our team.
We think you need these skills to ace Security Services Data Modelling and Engineering - Senior Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data pipelines, Python, and Databricks. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Collaboration Skills:Since we value teamwork, mention any past experiences where you collaborated with Data Architects or Business Analysts. Highlighting your ability to work well with others will definitely catch our eye!
Be Clear and Concise:When documenting your experience, keep it straightforward. Use bullet points for clarity and ensure you explain your role in data modelling and ETL processes. We appreciate a well-structured application that’s easy to read.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at TwinThread
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with data pipelines, especially on Databricks. Brush up on your Python skills and be ready to discuss how you've optimised workflows in the past.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you've worked closely with Data Architects or Business Analysts. Be prepared to share how you communicated complex data concepts clearly and effectively.
✨Document Everything
Highlight your ability to document data flows and ETL logic. Bring examples of how you've maintained transparency in your projects, perhaps using tools like Jira, to show that you understand the importance of governance and compliance.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI and data engineering, especially in financial services. Showing that you're aware of industry developments will demonstrate your commitment to continuous learning and innovation.
