At a Glance
- Tasks: Lead innovative data engineering projects and optimise complex data warehouse solutions.
- Company: Join JPMorganChase, a leader in the financial industry with a focus on innovation.
- Benefits: Attractive salary, comprehensive health benefits, and opportunities for professional growth.
- Other info: Be part of an agile team driving excellence in data solutions.
- Why this job: Make a significant impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: Proven experience in data engineering and strong collaboration skills.
The predicted salary is between 54000 - 66000 £ per year.
hackajob is partnering directly with JPMorgan Chase to hire for this role.
JOB DESCRIPTION
As a vital core member of an agile team, your innovative spirit and unparalleled knowledge is a catalyst for change and serves as an inspiration for bringing innovative solutions to life.
Your visionary leadership and pursuit of excellence makes a lasting impact on the firm and industry.
As a Principal Data Engineer at JPMorgan Chase within the (insert LOB or sub LOB), you provide expertise and data engineering excellence as an integral part of an agile team to enhance, build, and deliver data collection, storage, access, and analytic solutions in a secure, stable, and scalable way.
Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various data pipelines and data architectures to support one or more of the firm's portfolios.
- Job responsibilities
- Proactively partners with the principle architect to transform design intent into a practical delivery roadmap, ensuring short, critical deliverables are met in a scalable, strategic program.
- Designs, builds, and optimizes complex data warehouse solutions, ensuring scalability, reliability, and performance through hands-on engineering and advanced technical expertise
- Develops and implements robust data pipelines and ETL processes, dire...
Principle Data Warehouse Engineer - Executive Director in London employer: Hackajob
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We think this is how you could land Principle Data Warehouse Engineer - Executive Director in London
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We think you need these skills to ace Principle Data Warehouse Engineer - Executive Director in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Hackajob, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hackajob. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hackajob
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
