At a Glance
- Tasks: Engineer real-time market data platforms in a hybrid cloud environment.
- Company: Join Deutsche Bank AG, a leader in financial services and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with global teams in a dynamic and innovative environment.
- Why this job: Be at the forefront of market data technology and make a significant impact.
- Qualifications: Proficiency in UNIX/Linux and strong networking skills required.
Deutsche Bank AG is seeking a Market Data Technology Engineer to deliver and transform real-time market data platforms in a hybrid cloud setting. You will engineer the RTDS/TREP stack, integrate vendors like LSEG/Bloomberg, and optimize DACS/BPIPE across cloud and on‑prem environments with a focus on robust, scalable data delivery.
The role requires UNIX/Linux proficiency, strong networking knowledge, and collaboration with global teams.
#J-18808-LjbffrHybrid Cloud Market Data Engineer (RTDS/TREP) employer: Deutsche Bank AG
Deutsche Bank is an exceptional employer, offering a dynamic work culture in Birmingham that prioritises employee well-being and professional growth. With a hybrid working model, competitive salary, and comprehensive benefits including private healthcare and generous holiday allowances, employees are empowered to thrive both personally and professionally while contributing to the vital mission of combating financial crime.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Cloud Market Data Engineer (RTDS/TREP)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Deutsche Bank AG!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Cloud Market Data Engineer (RTDS/TREP) at Deutsche Bank AG.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Deutsche Bank AG.
✨Apply Directly through Our Website
When you find a suitable opening like Hybrid Cloud Market Data Engineer (RTDS/TREP) at Deutsche Bank AG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Hybrid Cloud Market Data Engineer (RTDS/TREP)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Deutsche Bank AG, 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 Deutsche Bank AG. 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 Deutsche Bank AG
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deutsche Bank AG!
✨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.
