The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is looking for talented and ambitious junior software engineers to join our team! As a member of our team, you'll have the opportunity to work on cutting-edge projects, including our Financial Data Lakehouse, AI, and Data Governance initiatives. You'll be able to apply your skills and knowledge to help create innovative solutions and contribute to the growth and development of our platform. If you're passionate about technology and finance and are looking for a challenging and rewarding role, we'd love to hear from you!

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Help shape the future of data management in the financial world by contributing to a state-of-the-art financial lakehouse.
• Create innovative solutions that address the evolving needs of the financial industry, enabling our clients to make data-driven decisions with confidence.
• Design, develop, and deploy cutting-edge automated workflows and tools that drive operational efficiency, minimize manual errors, and deliver exceptional client experiences.
• Collaborate with cross-functional teams to integrate automated solutions with existing systems and tools, ensuring data integrity, seamless workflows, and minimal disruptions.

Who You Are 

• Hold a Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, with a strong foundation in computer systems, programming languages, and software development methodologies
• Proficient in Python programming, with a focus on automation, scripting, and data manipulation
• Strong ownership of your work and a willingness to take on new challenges
• Eager to learn and grow with our team, with a focus on automation, data science, and innovation
• Nice to have: experience with PySpark, Databricks, or other big data technologies, as well as UI frameworks such as Streamlit or Dash

The Role

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 pipelines by writing PySpark code and integrating it within our Databricks Data Lake. The team operates with an AI-augmented engineering workflow — LLM tools are integrated into code review, testing, and documentation as standard practice, not an experiment. As you gain more experience, you’ll contribute to increasingly challenging engineering projects within our platform with the ultimate goal of dramatically increasing the throughput of data ingestion for Addepar. 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 effort required from our clients or from our internal data operations team.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Complete individual project priorities, deadlines, and solutions.
• Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts
• Improve the existing pipeline to increase the throughput and accuracy of data
• Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organizational expectations are met
• Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency
• Identify areas of automation opportunities and implement improvements
• Understand data models and schemas, and work with other engineering teams to recommend extensions and changes
• Use AI-assisted development workflows — The team uses LLM tools (Claude Code) as a standard part of the engineering workflow: pre-review, test generation, code analysis, and documentation. You'll be expected to adopt and contribute to these workflows
• Maintain and improve automated quality gates — Work with AI-powered code review tooling to enforce coding standards, catch regressions before human review, and reduce manual toil in the PR process

Who You Are

• Prior professional data engineering/analysis experience
• Experience with object-oriented programming (we use PySpark/Python)
• Knowledge of SQL or relational database concepts
• Experience in data modeling, visualization, and ETL pipelines
• Comfort working with AI/LLM tools as part of your development workflow (e.g., code assistants, automated review, AI-generated tests). You don't need to be an expert — but you should be curious and willing to adopt new tooling quickly
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management

The Role

We are currently seeking a full stack Software Engineer to join our Feed & Workflow Intelligence team!

We are part of a new initiative that seeks to leverage machine learning & artificial intelligence in order to accelerate the velocity of onboarding data (think everything from unstructured PDFs to complex CSV and Excel data sets) to the Addepar Data Lakehouse - Addepar’s proprietary system for managing data across the entire company. In this full-stack role, you’ll be part of a critical need to work directly on client-facing front-end and backend features that interact with our AI & ML powered backend to improve the experience of onboarding data globally.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Collaborate with product, design, engineering, and key clients to define and deliver  solutions that support and streamline user workflows aligned to Feed Intelligence.
• Coordinate with our web platform and design system teams to ensure our product is a seamless part of the Addepar user experience.
• Implement engineering solutions to address sophisticated problems; write well-designed, testable code.
• Bridge the gap between running and creating sophisticated AI & ML workflows with a seamless user experience for real client problems at Addepar

Who You Are

• Bachelor’s or Master’s degree in Computer Science or equivalent experience
• Prior full-stack development experience
• You care about delivering quality and value to clients in an agile manner
• Python or Java development experience a big plus
• Experience with React, web components, Svelte, and/or Ember a big plus
• Full-stack, product engineering experience a big plus
• Experience with gen AI for coding a plus

The Role

We are seeking an experienced backend software engineer to join the Platform Integrations team!

We are looking for a senior engineer to join us in building client onboarding solutions, to enable clients to bring their data on to our systems, allowing them to report, analyze, and understand their data, and work with all their data in one central place.

We interface with product and client solutions teams to gain a deep understanding of the data and of client’s needs. We implement performant workflows that our users depend on for their day-to-day operations. We maintain the Python framework that enables teams across Addepar to build their own workflows on the Data Lakehouse.

The Platform Integration team is passionate about handling large volumes of data, automation to reduce manual effort, and guiding and impacting best practices in how teams across Addepar use the Lakehouse Platform.

We are looking for a senior engineer who is interested in technical challenges and is motivated to understand the problems facing our users today. If you’ve designed scalable solutions and built data pipelines, and if you have a strong technical and problem-solving background, join us!

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Collaborate multi-functionally with Product, Client Solution teams, and other engineering teams to deliver holistic client onboarding solutions.
• Write well-designed and tested code to solve complex engineering problems .
• Implement features to support the Data Lakehouse Framework and promote engineering best practices to influence the framework’s direction.
• Lead individual projects including ownership of areas such as technical solution and architecture design, timeline and estimation, coding and implementation.
• Communicate technical ideas and steer direction on projects from an engineering standpoint.
• Mentor and guide other engineers on the team.

Who You Are

• Extensive experience as a software engineer, preferably with Python.
• A strong ownership mentality and strong communication skills.
• Robust analytical and problem solving skills.
• Experience with data processing and analysis using PySpark or similar frameworks is a plus.

The Role

We are currently seeking a Software Engineer to join our Framework Integration and Tooling Team! In this role, you will have the opportunity to use the latest technology stacks to build the next generation of global, scalable, portfolio data ingestion. It is the core backbone for portfolio analytics, insights, and reporting that the entire Addepar platform depends on. We want people who are passionate and care deeply about the success of the whole company. We are looking for driven engineers with real technical depth and a desire to understand the end business. 

Engineering is at the core of Addepar and we are looking to add the best, brightest, and most passionate software engineers to our team. If you are excited about doing the best work of your career and you enjoy the rush of shipping high quality code to production every day we’re excited to meet you! Our software engineers come from a variety of backgrounds, ranging from Silicon Valley entrepreneurs to finance tech veterans. What they have in common is tremendous talent and dedication to architecting, implementing, and shipping high quality software.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Build the framework and tooling for ingesting complex financial data from hundreds of global data providers.
• Implement engineering solutions to solve complex problems; write well-designed, well-tested code.
• Contribute to architecture designs, product roadmap, and code reviews.
• Collaborate effectively with other engineers, product managers and stakeholders, in line with our company values outlined

Who You Are

• Degree in Computer Science or a related field, or equivalent practical experience in the industry.
• Prior experience as a Software Engineer in a professional environment.
• Familiarity with some of the technologies we use: 
• HTTP, REST and web API best practices. 
• Java, Python, AWS, Spark, Databricks
• Able to work from the Edinburgh office for a minimum of 2 days per week.
• Ability to write high-quality, object-oriented code.
• Excellent written and verbal communication skills.
• Demonstrable knowledge of development best practices and experience working in an agile team.
• Ability to explore complex problem spaces objectively from multiple points of view.
• Ability to learn new things quickly.
• [Bonus] Linux proficiency, basic shell scripting and a solid grasp of systems level programming.
• [Bonus[ Specific experience in or knowledge of financial data systems.