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- Tasks: Develop and maintain data integrations to enhance our cutting-edge data platform.
- Company: Join Addepar, a global leader in data and AI for investment professionals.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Be part of a dynamic team with global reach and exciting career prospects.
- Why this job: Make a real impact by transforming complex financial data into actionable insights.
- Qualifications: Experience in data engineering and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
Portfolio Data Integration is part of the broader Addepar Platform team. The overall Addepar Platform provides a single source of truth 'data fabric' used by the Addepar product set, including a centralized and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modeling, tooling and infrastructure related to the integration of client portfolio data. Addepar’s core business relies on the ability to quickly and accurately ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. Portfolio Data integrations and feeds are a highly critical cross-section of this set, allowing our users to get automatically updated and reconciled information on their latest holdings onto the platform.
As a data engineer for this team, you will execute the development of new data integrations and maintenance of existing processes in order to expand and improve our data platform. You’ll be adding automation and functionality to our distributed data.
Data Engineer employer: Addepar
Contact Detail:
Addepar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Addepar on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We recommend practising common data engineering problems and being ready to discuss your past projects. Show us how you can tackle real-world challenges!
✨Tip Number 3
Don’t forget to showcase your soft skills! Communication and teamwork are key in our field. Be ready to share examples of how you've collaborated with others to solve complex problems.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining the Addepar team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description. We want to see how your background aligns with what we do at Addepar!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Addepar
✨Know Your Data Inside Out
As a Data Engineer, you'll be working with complex data systems. Make sure you understand the fundamentals of data integration, cleansing, and modelling. Brush up on your knowledge of APIs and data pipelines, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects. Be ready to explain how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your analytical thinking and ability to handle real-world data issues.
✨Familiarise Yourself with Addepar's Platform
Do some research on Addepar’s data platform and its functionalities. Understanding how their data fabric works and the importance of portfolio data integration will show your genuine interest in the company and the role.
✨Ask Insightful Questions
Interviews are a two-way street. Prepare thoughtful questions about the team, the technologies they use, and the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.