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- Tasks: Join a team creating strategic data assets for AI solutions and business insights.
- Company: JPMorgan Chase, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by building data foundations that drive business success.
- Qualifications: Experience in data pipelines, Python, and strong collaboration skills required.
- Other info: Dynamic role with excellent career advancement in a supportive environment.
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 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.
- 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.
- 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 Bournemouth employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Services Data Modelling and Engineering - Vice President in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python and Databricks, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews 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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Security Services Data Modelling and Engineering - Vice President in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data pipelines, Python, and Databricks. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data modelling, ETL processes, or any AI solutions. This gives us a taste of what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you’re well-versed in data pipelines, ETL concepts, and the tools mentioned in the job description, like Databricks and Python. Brush up on your knowledge of Spark and how it integrates with cloud platforms, as this will show your technical prowess.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Data Architects and Business Analysts, be prepared to discuss past experiences where you collaborated effectively. Highlight specific projects where teamwork led to successful outcomes, demonstrating your ability to communicate and work well with others.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling and pipeline design. Practise explaining your thought process when designing data solutions and be ready to tackle hypothetical scenarios that test your problem-solving skills.
✨Familiarise Yourself with Governance Standards
Understanding data governance and compliance is crucial for this role. Research relevant standards and be ready to discuss how you’ve ensured data quality and privacy in your previous roles. This will show that you take accountability seriously and are aligned with the company’s values.
