At a Glance
- Tasks: Join the Data Engineering team to design and evolve a cutting-edge data platform.
- Company: Dynamic Investment Management company based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career development and modern practices.
- Why this job: Make a real impact on data architecture and work with innovative technologies.
- Qualifications: Strong Snowflake skills and experience in cloud-based data platforms required.
The predicted salary is between 63000 - 77000 £ per year.
Our client is an Investment Management company based in London.
This is an opportunity to be part of the design and evolution of their data platform as part of the Data Engineering team, working alongside selected vendor/service provider partners.
The role is an important contributor to architecture decisions, working practices, technical design and implementation of new features.
The successful candidate will actively participate in the ongoing Data Platform project, evolving and updating a fit-for-purpose architecture in accordance with business needs.
This will include adoption and migration to a new Investment Platform data model and extension to the organisations parent company, enabling them to migrate their data.
Experience Required
- Strong Snowflake as a key skill with experience of Cloud-based (preferably Azure) data platform.
- Experience within the Investment Management / Asset Management or Investment Banking sector is highly desirable.
Candidates with broader financial services experience will also be considered.
- Database technologies such as Microsoft SQL Server and Oracle would be beneficial.
- Experience of implementing cloud-based distributed and scalable solutions, leveraging modern compute, storage, databases and reporting technologies.
- Understanding of CI/CD pipelines and Dev Ops practices for data engineering.
- Coding skills (Python, Java, SQL), and experience working with large data-sets, both on-prem and cloud-based.
- Strong technical skillset, including expertise in data modelling, experimental design, and execution.
- Understanding of data governance and data security practices.
- Experience in data integration, ETL/ELT pipeline, and automation/orchestration.
- Knowledge of cloud-based databases and associated development tools, including virtualisation and container technologies, and awareness of cost optimisation associated with their use.
- Experience in data analysis and working knowledge of common project management practices (Agile, Waterfall).
- Experience with pipeline technologies such as Five Tran and Open Flow.
- Experience of financial applications such as Blackrock Aladdin and knowledge of investment management practices and asset class financial data preferred.
Data Engineer employer: PSD Group
At PSD Group, we pride ourselves on being an exceptional employer that champions employee growth and engagement. Our vibrant work culture fosters innovation and collaboration, while our commitment to professional development ensures that every team member has access to tailored learning pathways and leadership opportunities. Located in a dynamic environment, we offer unique advantages such as a cutting-edge digital employee experience and a supportive community that values your contributions.
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 PSD Group!
✨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 PSD Group.
✨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 PSD Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at PSD Group, 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 PSD Group, 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 PSD Group. 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 PSD Group
✨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 PSD Group!
✨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.
