At a Glance
- Tasks: Design and maintain data pipelines that power predictive algorithms for cash management.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Make a real impact by optimising liquidity and supporting critical business operations.
- Qualifications: Experience in data pipeline design using Python, SQL, and cloud platforms.
- Other info: Collaborative team culture with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Our Cash Management team ensures the bank has the right money in the right place at the right time. We leverage advanced algorithms to predict cash flows and proactively move funds, optimizing liquidity and supporting critical business operations. As a Data Engineer III at JPMorgan Chase as a part of the Cash Management team, you will be responsible for designing, building, and maintaining robust data pipelines that power our predictive algorithms and business insights.
Job Responsibilities
- Design, implement, and maintain scalable data pipelines for collecting, transforming, and delivering data across systems.
- Ensure data quality, reliability, and timeliness throughout the pipeline.
- Develop solutions for securely and efficiently moving data between internal and external systems.
- Work with both structured and unstructured data sources.
- Analyze large datasets to extract actionable insights and present findings in a business-friendly format.
- Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.
- Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.
- Work closely with product, engineering, and business teams to understand requirements and deliver solutions.
- Document processes and share knowledge with team members.
Required Qualifications, Capabilities And Skills
- Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.).
- Strong analytical skills with the ability to interpret complex data and deliver business value.
- Experience integrating data from multiple sources and systems.
- Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and big data technologies.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and documentation skills.
Preferred Qualifications
- Awareness or experience with financial concepts, especially in banking or cash management.
- Experience supporting predictive analytics or machine learning workflows.
- Knowledge of data governance, security, and compliance in financial services.
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, long‑term 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 around the world.
Data Engineer III in Bournemouth employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer III in Bournemouth
✨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 JPMorgan Chase. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your experience with data pipelines and analytics. Share specific examples of how you've used Python, SQL, or Spark to solve real problems.
✨Tailor Your Approach
Before any interview, do your homework on the Cash Management team and their projects. Tailor your answers to show how your skills align with their needs, especially around cash forecasting and predictive analytics.
✨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 genuinely interested in being part of the JPMorgan Chase family.
We think you need these skills to ace Data Engineer III in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer III role. Highlight your experience with data pipelines, ETL/ELT processes, and any relevant technologies like Python or SQL. We want to see how your skills match 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 Cash Management team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects involving data analysis or pipeline development, make sure to mention them. We’re interested in real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our team there!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience designing and building data pipelines. Brush up on the technologies mentioned in the job description, like Python, SQL, and Spark. Be ready to discuss specific projects where you've implemented ETL/ELT processes.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing how you've interpreted complex datasets in the past. Think of examples where your insights led to actionable business outcomes, especially in cash management or financial contexts.
✨Familiarise Yourself with Cloud Platforms
Since familiarity with cloud data platforms is a must, make sure you understand the basics of AWS, Azure, or GCP. You might be asked about your experience with these platforms, so having a couple of examples ready will show you're well-prepared.
✨Communicate Clearly
Excellent communication skills are key for this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will not only help you during the interview but also in your future collaborations with teams across the bank.