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 collaboration 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 in London 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 in London
✨Network 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.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data pipelines, Python, and Databricks. Use real examples to demonstrate how you've tackled challenges and delivered results.
✨Prepare for the Interview
Do your homework on the company and the role. Understand their data needs and think about how your skills can help them achieve their goals. Prepare questions that show you're genuinely interested in their projects and culture.
✨Apply Through Our Website
Don’t forget to apply directly 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 the team and ready to contribute to our mission.
We think you need these skills to ace Security Services Data Modelling and Engineering - Senior Associate in London
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 data flows and ETL logic in a way that’s easy to understand. We appreciate transparency!
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 used libraries like pandas for data transformation.
✨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’ve contributed to developing robust data models and documented data flows.
✨Showcase Your ETL Knowledge
Be ready to explain your understanding of ETL concepts and pipeline design. You might be asked to describe a project where you implemented data quality checks or validation modules using Python, so have a specific example in mind.
✨Familiarity with Tools is Key
Don’t forget to mention your experience with project management tools like Jira. Being able to track work and progress transparently is crucial, so highlight any relevant experiences that demonstrate your organisational skills.
