At a Glance
- Tasks: Design and build scalable data quality frameworks for financial data processing.
- Company: Addepar, a leading tech company in Edinburgh with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Join a dynamic team and contribute to the broader Data Platform vision.
- Why this job: Own services end-to-end and collaborate to deliver impactful features.
- Qualifications: Extensive engineering experience with strong database and cloud platform skills.
The predicted salary is between 50000 - 70000 £ per year.
Addepar in Edinburgh seeks a skilled Software Engineer to design and build scalable data quality frameworks for financial data processing. You will own services end-to-end, collaborating across teams to deliver impactful features, while working with technologies like AWS, Java, and Python.
The ideal candidate has extensive engineering experience and a strong background in databases and cloud platforms, contributing to the broader Data Platform vision.
Senior Data Quality Platform Engineer—AWS & PySpark in Edinburgh employer: Addepar
Addepar is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong focus on employee growth, we offer ample opportunities for professional development while working with cutting-edge technologies like AWS and PySpark. Join us to make a meaningful impact in the financial data processing space, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Quality Platform Engineer—AWS & PySpark in Edinburgh
✨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 Addepar!
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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 Senior Data Quality Platform Engineer—AWS & PySpark at Addepar.
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✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Quality Platform Engineer—AWS & PySpark in Edinburgh
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 Addepar, 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 Addepar. 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 Addepar
✨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 Addepar!
✨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.
