At a Glance
- Tasks: Build data pipelines and applications for finance and regulatory reporting.
- Company: Join dnevo Partners, a forward-thinking financial technology firm.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for growth.
- Other info: Collaborative environment with exposure to trading and core-platform development.
- Why this job: Make an impact in finance with innovative data solutions and cutting-edge technology.
- Qualifications: Experience in Python/Java and a passion for data engineering.
The predicted salary is between 63000 - 77000 £ per year.
dnevo Partners is seeking a Software Engineer to build data pipelines and applications supporting finance and regulatory reporting for a new financial-markets platform.
The role focuses on data movement from core trading to finance outputs, with exposure to trading and core-platform development as the system grows.
The candidate will develop Python/Java ETL pipelines, implement data validation and monitoring, and collaborate with finance, operations and regulatory teams.
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Finance Data Engineer: ETL, Pipelines & Reporting employer: dnevo Partners
As a leading player in the Financial Services sector, our company offers an exceptional work environment in London, where innovation and operational excellence are at the forefront. We pride ourselves on fostering a collaborative culture that encourages professional growth through continuous learning and development opportunities, while also providing competitive benefits and a commitment to work-life balance. Join us to be part of a dynamic team that values your contributions and empowers you to drive meaningful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Engineer: ETL, Pipelines & Reporting
✨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 dnevo Partners!
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We think you need these skills to ace Finance Data Engineer: ETL, Pipelines & Reporting
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 dnevo Partners, 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 dnevo Partners. 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 dnevo Partners
✨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 dnevo Partners!
✨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.
