At a Glance
- Tasks: Lead a global team to build and enhance data & AI products.
- Company: Join Addepar, a leader in finance technology with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving impactful change in the finance sector.
- Why this job: Shape the future of finance by developing cutting-edge data solutions.
- Qualifications: Experience in engineering management and a passion for data and AI.
The predicted salary is between 57692 - 70512 £ per year.
Addepar is seeking an Engineering Manager for its Data Platform to lead a global team and ship data & AI products at scale.
You will be hands-on, building services and shaping architecture with engineers and product stakeholders to improve velocity and platform capabilities that enable Addepar to be the ultimate data & AI platform for finance.
Applicants must have the right to work in the United Kingdom from day one; visa sponsorship is not available for this role.
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Global Data Platform Engineering Manager employer: Addepar1
Addepar is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and career advancement, alongside competitive benefits that support work-life balance. Join us to be part of a dynamic team dedicated to enhancing client experiences through cutting-edge market data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Global Data Platform Engineering Manager
✨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 Addepar1!
✨Show Off Your Projects
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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 Addepar1.
✨Apply Directly through Our Website
When you find a suitable opening like Global Data Platform Engineering Manager at Addepar1, 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 Global Data Platform Engineering Manager
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 Addepar1, 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 Addepar1. 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 Addepar1
✨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 Addepar1!
✨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.