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- Tasks: Join our team to build and optimise data pipelines for financial insights.
- Company: Addepar is a global tech company revolutionising investment data management.
- Benefits: Enjoy flexible work options, a collaborative culture, and opportunities for growth.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: Degree in a technical field and familiarity with programming languages like Python and SQL.
- Other info: We value diversity and inclusion, ensuring everyone feels welcome.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Addepar Edinburgh, Scotland, United Kingdom
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Addepar Edinburgh, Scotland, United Kingdom
Join to apply for the Sr. Portfolio Data Engineer role at Addepar
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Who We Are
Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai.
Who We Are
Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai.
The Role
We’re looking for a Senior Portfolio Data Engineer to join our Data Engineering team in Edinburgh.
A core part of Addepar’s business relies on us being able to quickly and correctly ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. The data engineers on the Portfolio Data Engineering team help build and maintain the transformation and cleaning steps of our ETL (Extract, Transform, Load) pipeline before it can be stored and accessed by our customers in a standardised fashion. As a data engineer on this team, you’ll be building components within the ETL pipeline that automate these cleaning and transformation steps. As you gain more experience, you’ll contribute to increasingly challenging engineering projects within our broader data infrastructure.
This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar’s client base with minimal manual data cleaning effort required from our clients or from our internal data operations team.
What You’ll Do
- Write code and design pipeline architecture.
- Build pipelines that support the ingestion, analysis, and enrichment of financial data.
- Improve the existing pipeline to increase the throughput and accuracy of data.
- Work with data analysts to map general financial concepts to our internal data models in a repeatable and precise fashion.
- Understand data models and schemas, and work with other engineering staff to recommend extensions and changes.
- Use investigative tools and database queries to automatically flag irreconcilable data within our production datasets.
Who You Are
- A degree in computer science, engineering, mathematics or a related technical field
- Experience with object-oriented programming preferred
- General familiarity with some of the technologies we use:
- Python, Apache Spark / PySpark, Java/Spring
- Amazon Web Services
- SQL, relational databases
Our Values
- Act Like an Owner – Think and operate with intention, purpose and care. Own outcomes.
- Build Together – Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients – Exceed client expectations. Our clients’ success is our success.
- Drive Innovation – Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning – Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.
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Seniority level
Mid-Senior level
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Employment type
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Job function
Information Technology
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Sr. Data Engineer employer: Addepar
Contact Detail:
Addepar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Engineer
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, such as Python, Apache Spark, and AWS. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of Addepar on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges faced by the Data Engineering team.
✨Tip Number 3
Prepare to discuss your problem-solving approach and any relevant projects you've worked on that involved ETL processes. Be ready to explain how you tackled data ingestion and transformation challenges.
✨Tip Number 4
Showcase your understanding of financial concepts, even if it's basic. Being able to relate your technical skills to the financial industry can demonstrate your ability to contribute effectively to Addepar's mission.
We think you need these skills to ace Sr. Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the requirements of the Senior Portfolio Data Engineer role. Focus on your expertise in data engineering, ETL processes, and any programming languages mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of Addepar's mission and values. Mention specific projects or experiences that demonstrate your ability to contribute to their data engineering team.
Showcase Relevant Projects: If you have worked on projects involving Python, Apache Spark, or AWS, be sure to include these in your application. Describe your role in these projects and the impact they had, particularly in relation to data ingestion and transformation.
Highlight Soft Skills: In addition to technical skills, Addepar values collaboration and innovation. Include examples of how you've worked effectively in teams, solved complex problems, or contributed to a positive work environment in your previous roles.
How to prepare for a job interview at Addepar
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as Python, Apache Spark, and SQL. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Understand ETL Processes
Since the role involves building and maintaining ETL pipelines, brush up on your knowledge of Extract, Transform, Load processes. Be ready to explain how you would approach designing an efficient pipeline and any challenges you've faced in previous roles.
✨Demonstrate Problem-Solving Skills
Addepar values innovation and problem-solving. Prepare examples of how you've tackled complex data issues or improved existing systems. Highlight your analytical thinking and ability to drive solutions.
✨Show Interest in Financial Concepts
While not mandatory, having a basic understanding of financial concepts can set you apart. Brush up on terms like stocks and bonds, and be ready to discuss how data engineering plays a role in financial decision-making.
