At a Glance
- Tasks: Lead the architecture of GCP data platform and manage real-time data ingestion.
- Company: Join IG Group, a leader in financial services with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and observability.
- Why this job: Shape the future of data architecture and drive impactful projects across teams.
- Qualifications: Proven experience in data engineering and strong leadership skills.
The predicted salary is between 72000 - 88000 £ per year.
IG Group is seeking a Principal Data Engineer to own the end-to-end architecture of the GCP data platform, including Big Query and real-time ingestion.
You will lead complex migrations from AWS/on-prem and set patterns for self-service data products across divisions.
This role requires senior technical leadership, cross-functional collaboration with Compliance, Marketing, Finance, and Data Science, and a strong focus on data quality and observability.
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Lead Data Platform Architect — GCP & Real-Time Pipelines employer: IG Group
IG Group is an exceptional employer located in the heart of London, offering a dynamic work environment that fosters collaboration and innovation. With a hybrid work model, comprehensive benefits, and a strong focus on employee development, you will have the opportunity to grow your career while delivering premium service to high-net-worth clients. Join us to be part of a culture that values excellence and empowers you to make a meaningful impact in the financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Architect — GCP & Real-Time Pipelines
✨Get Involved in Data Science Meetups
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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 IG Group.
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We think you need these skills to ace Lead Data Platform Architect — GCP & Real-Time Pipelines
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 IG 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 IG 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 IG 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 IG 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.
