At a Glance
- Tasks: Build and optimise data systems from scratch using C# and Python.
- Company: Dynamic Hedge Fund in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with diverse projects and a collaborative culture.
- Why this job: Join a cutting-edge team and make a real impact in the finance sector.
- Qualifications: 5+ years in software development and experience with data-intensive systems.
The predicted salary is between 60750 - 74250 £ per year.
My client are a Hedge Fund based in London looking for a Data Engineer. You must have built data systems and processes from scratch previously. The successful candidate will;
- Optimise and Develop the Data Platform
- Design, develop, and maintain software using C# and Python.
- Follow high engineering standards across architecture, implementation, testing, and CI/CD.
- Focus on data quality, reliability, and operational simplicity when designing both data and software systems.
- Enhance and maintain existing systems and legacy code, including microservices, ETL pipelines, Excel add-ins, and other components.
- Work closely with the team, contributing to code reviews and collaborative problem-solving.
- Improve Software Infrastructure
- Develop and improve infrastructure management, including Infrastructure as Code (Ia C) and disaster recovery.
- Strengthen observability across the platform, including logging, monitoring, alerting, and system health checks.
- Manage Windows and Linux environments, diagnosing and resolving network and system-level issues.
- Maintain databases, including backup processes, replication, and general database reliability.
- Support and Maintain Platform Operations
- Provide technical support to help maintain platform reliability and resolve user issues.
- Monitor system health, carry out regular checks, and investigate and resolve problems as they arise.
- Respond efficiently to ad hoc technical queries and requests.
Requirements
- 5+ years of professional software development experience.
- Experience designing and operating data-intensive, distributed systems.
- Experience working with databases, including relational, No SQL, and columnar databases.
- Comfortable working in a hands-on, end-to-end environment where you may own a wide range of technical responsibilities.
- Able to work effectively in a dynamic environment with multiple concurrent projects and priorities.
- Interest in, or experience with, Dev Ops practices is a plus.
- Experience working with financial or market data is a plus.
- Interest in, or experience with, data engineering or data science is a plus.
- #J-18808-Ljbffr
Data Engineer employer: Setec Alpha
Setec Alpha is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in data engineering. The company values high engineering standards and offers a supportive environment where your contributions directly impact the success of the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Setec Alpha!
✨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 Data Engineer at Setec Alpha.
✨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 Setec Alpha.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Setec Alpha, 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 Data Engineer
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 Setec Alpha, 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 Setec Alpha. 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 Setec Alpha
✨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 Setec Alpha!
✨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.
