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 

An outstanding opportunity awaits you to lead the development of an innovative data-lake-house-as-a-service solution at Addepar. As a Product Manager, you will collaborate with our outstanding engineering teams and forward-thinking clients to successfully implement advanced analytics and data sharing capabilities. This role plays a vital part in fulfilling the ambitious requirements of financial data management and data driven decision making.

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 

• Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.
• Collaborate with clients to determine data engineering and analytical needs.
• Lead development of key features from requirements definition through delivery.
• Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.
• Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.
• Ensure the product remains competitive by staying current with trends in data lake house technologies.
• Regularly communicate updates to collaborators and gather customer feedback.

Who You Are 

• Prior product management experience, ideally with data platforms or engineering products.
• Proficient in data lake house technology and data workflows.
• Technical skills in SQL, Python, and data engineering concepts.
• Proven track record to handle data-intensive product development and client-facing requirements.
• Excellent communication and cross-functional collaboration skills.

Preferred Skills:

• Hands-on experience with Databricks or similar data platforms.
• Familiarity with financial services platforms like Addepar.
• Preferred experience with a scrum-based agile development process.

The Role 

You’ll help Product Operations leverage AI to change how we manage information and take action. You will improve our ability to measure our impact in accelerating the building of features, products, and solutions. This will lead to better, scaled customer experiences.

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

• Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. 
• Work with stakeholders to design Initiatives and Projects that you will own. 
• Design SMART goals and associated metrics.  
• Improve Product lifecycle and Software development practices.
• Work with Financial Products
• Stocks, Bonds, Mutual Funds, Alternative Investments
• Improve how we serve our Customer Segments
• Wealth Management Firms
• Enterprises / Large Banks
• Institutional Investors

Who You Are 

While it’s helpful to know Financial Services, and more specifically Wealth Management, it isn’t required. You must be willing to learn all aspects of our business, financial products, product development, and business strategy. 

You’re a problem solver with an experimentation mindset. You’ve proven an ability to learn rapidly and you have a desire to teach others. The proof could be a Graduate Degree in a technical or research discipline, having worked as a Consultant, or having a couple of years of experience as a Data Analyst or Software Engineer, working with customers or internal stakeholders using data to understand what’s happening. The important thing isn't the job title, it’s your mindset. 

Must Haves

• Analytical and Problem solving mindset
• Comfortable interacting with stakeholders to decompose abstract problems into experiments  
• SQL expertise
• Prior Software or Data Engineering experience

Nice to Haves

• Consulting Experience
• Proficiency with Ai Tools (specifically Claude), Experience using ML/Ai techniques.
• Proficiency in Python and / or Javascript.
• Experience with Data Lake platforms Databricks (preferred), Snowflake, Amazon Redshift, BigQuery or Microsoft Fabric.
• Experience with Figma, Canva, Lucid etc, or other Design Mocking or Prototyping tools.
• Computer Science, Operations Research, Economics, Statistics, or similar engineering background
• Experience in Financial Services and especially in Wealth Management

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 POSITION

Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases. 

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. 

THE GAME PLAN

Everyone on our team has a part to play

Build & Maintain Data Pipelines 

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner

Collaborate Across Teams 

• Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
• Translate business questions into engineering tasks and contribute to technical planning.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.

Data Quality & Operations 

• Monitor data pipelines and troubleshoot issues in a timely, systematic manner
• Implement data quality checks and contribute to observability and testing practices
• Document data sources, transformations, and architecture decisions to support long-term maintainability

THE STATS
What we're looking for in our next teammate

• Experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, DBT, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).

Preferred Qualifications 

• Experience supporting BI, analytics, or data science teams.
• Familiarity with version control, CI/CD, and collaborative development workflows.
• Exposure to data governance, privacy, or compliance practices.
• Eagerness to learn new technologies and contribute to the growth of the team.

PLAYER BENEFITS
We treat our team right

From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:

• An exciting and fun environment committed to driving real growth
• Opportunities to build really cool products that fans love
• Career and professional development resources to help you refine your game plan for owning and driving your career and development
• Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

Diversity, Equity and Inclusion

FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!

Our roster has an opening with your name on it

We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

THE GAME PLAN
Everyone on our team has a part to play

Team Management & Growth

• Lead a team of data engineers through coaching, mentorship, and technical guidance
• Support individual career development and performance feedback, creating growth opportunities for your team
• Foster a collaborative, inclusive, and high-performance team culture

Technical Oversight & Delivery

• Guide the design and implementation of scalable data pipelines, platforms, and data products
• Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
• Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices

Cross-Functional Collaboration

• Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
• Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
• Communicate clearly across technical and non-technical teams to align on priorities and progress

Operational Excellence

• Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
• Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
• Drive continuous improvement in development workflows and team productivity

THE STATS

What we're looking for in our next teammate

• 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
• Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
• Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).
• Strong communication and collaboration skills with a passion for working across teams.

Preferred Skills

• Prior experience in a people management or tech lead role within a data engineering or analytics team
• Familiarity with machine learning workflows, data observability, and streaming architectures
• Experience working in a product-driven, customer-focused organization
• Understanding of data privacy, security, and compliance frameworks

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognised brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER CONTRACT
We treat our team right
 
From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:

1. An exciting and fun environment committed to driving real growth
2. Opportunities to build really cool products that fans love
3. Mentorship and professional development resources to help you refine your game
4. Flexible vacation allowance to let you refuel
5. Hall of Fame benefit programs and platforms

FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!.”  We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.  We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance.  Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team

The Role

Alts Data Operations is a newly launched Addepar team that focuses on Alternatives Investment Data.  The team collects and validates information on private funds, private companies and other non-public investments.  This data is used for our research projects on investment decision-making and deliver new research products on topics related to investing (e.g., briefs, working papers, journal articles, models). The R&I mission is to inform wealth managers and institutional investors on new ways to improve their investment performance, by helping them augment their governance, management, operations, and processes. The goal is to apply Addepar’s proprietary and private data (both quantitative and qualitative) to bring new and powerful insights to the world of investors. 

We are currently seeking an Alternatives Data Operations Analyst to join our growing presence in Edinburgh. This role will be dedicated to capturing and updating Alternatives data to power new innovations developed using a proprietary research platform. The platform aggregates over $7 Trillion in assets into an analytical data store that can be analyzed for new insights by researchers at Addepar and other prominent research institutions (e.g. London School of Economics, Dept. of Finance). The role is responsible for ensuring the platform has timely and high-quality data available. This will include oversight of the alternatives security master, data quality validations management, and workflow oversight. 

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 Will Do

• Oversee and manage operational workflows for Alternative data processing.
• Develop and maintain effective process controls and accurate metrics to ensure quality standards.
• Partner with members of the Research team to implement and run data quality validations.
• Oversee the security master and security classification processes 

Who You Are

• Prior experience in the financial industry, securities modeling, post-trade processing or trade-surveillance systems. Knowledge of alternatives is a big plus. 
• Detailed in documenting and exhibits good follow-through techniques. 
• Track record of effective problem-solving abilities, self-motivation to take on responsibility, and a strong team-player mentality.
• Outstanding communication and interpersonal skills for working with clients, custodial data providers, as well as internal working partners.
• Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applications.

The Role

As a Technical Solution Architect you will play a crucial role in helping our clients build custom integrations using Addepar's suite of APIs and the Addepar Data Exchange. Additionally, you will have the opportunity to develop innovative internal tools to address client challenges, expedite implementations and unblock internal and external stakeholders. The ideal candidate will possess an eagerness to solve technical problems, experience in the wealth management domain, exceptional communication skills, thrive in a fast paced environment, and will bring a solutions oriented approach to all challenges they encounter.

What You’ll Do

• Collaborate with clients to design and build custom integrations leveraging  APIs, the Addepar Data Exchange and other technical tools
• Work closely with Product and Engineering to shape the development of new technical solutions
• Pioneer the technical implementation of the Addepar Data Exchange and establish and contribute to best practices for the team
• Prioritize and context-switch effectively to lead simultaneous projects, seeing each through to the finish line
• Stay up-to-date with industry trends and emerging technologies to find opportunities for innovation and improvement

Who You Are 

• Minimum 3+ years experience working in technology, finance, or consulting
• Experience with designing and implementing custom integrations
• Intermediate or advanced proficiency in Python, SQL and Rest APIs
• Hands-on experience with Databricks or similar data platforms
• Solution-oriented mentality and passion for problem solving
• Excellent verbal and written skills with the ability to present complex information in a clear and concise manner
• Strong work ethic, proactive and a high contributing teammate
• Independent, adaptable and can thrive in a fast-paced environment

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.

About Skyscanner

Everyone loves travelling, but planning is not without its challenges. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily.

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all.

Our vision? To be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.)

About the role
Hybrid

This isn’t just another engineering management role — it’s your chance to shape the data backbone of an AI-first travel company. You’ll lead a high-performing squad within Core Data, building the reliable, scalable, and (very importantly) trusted data products that power everything from experiments to real-time traveller experiences.

Think of it as part leadership, part technical strategy, part “let’s make data actually useful at scale.” You’ll help set the pace, raise the bar, and make sure our data platforms are ready not just for today — but for where AI is taking us next.

What you'll be doing

• Leading a high-impact squad: You’ll hire, coach and grow a team of talented data engineers, helping them do their best work (and enjoy doing it).
• Creating a safe, curious environment: You’ll foster a culture where experimentation is encouraged, failure is a lesson, and learning never stops.
• Owning delivery and quality: You’ll keep things moving — prioritising work, unblocking challenges, and ensuring high standards across everything shipped.
• Driving engineering excellence: You’ll champion best practices across testing, observability, CI/CD, and performance optimisation (because smooth pipelines = happy teams).
• Building AI-ready foundations: You’ll help shape data platforms that support ML and AI use cases — from reproducibility to responsible data practices.
• Shaping strategy and standards: You’ll influence how data engineering is done at Skyscanner, evolving standards, tooling and ways of working.
• Collaborating across teams: You’ll partner with product, analytics and data science to turn fuzzy problems into clear, impactful solutions.

About you

• Experienced leader: You’ve led and grown data engineering teams in product-led environments and know how to bring out the best in people.
• Technically strong: You’re comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python — and you can go deep when needed.
• Cloud-savvy: You understand distributed systems and cloud platforms, and how to make them work efficiently at scale.
• Quality-driven: You care about doing things well — from clean code to reliable pipelines and solid operational practices.
• Collaborative by nature: You work brilliantly across disciplines and know how to align teams around shared goals.
• Comfortable with ambiguity: You don’t need everything perfectly defined to get started — you bring clarity where there isn’t any.
• Future-focused: You’re excited about AI, data innovation, and how better foundations unlock faster, smarter product development

What it's like here

We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans, building things that help travellers explore the world a little easier.

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.

Sound like your kind of adventure? Apply now and help us shape the future of travel.

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.

Principal Data Engineer - AWS 
Location: Edinburgh (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Engineer future-ready data platforms that power financial transformation.

The Role
We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next-gen transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact the way data is ingested, transformed, and served at scale across the financial services industry.

This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations.

What You’ll Do

• Design and build end-to-end data pipelines leveraging AWS-native tools and modern data architectures.

• Collaborate with clients to gather requirements, define solutions, and deliver production-grade systems.

• Apply AWS Well-Architected Principles to ensure scalability, security, and resilience.

• Lead in the development of robust, tested, and fault-tolerant data engineering solutions.

• Support and mentor junior engineers, contributing to knowledge sharing across the team.

What We’re Looking For

• Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc.

• Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis).

• Proficiency in AWS cloud environments.
• Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing.
• A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR.

Bonus Points For

• Expertise in Data Modelling, schema design, and handling both structured and semi-structured data.

• Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks.

• Exposure to AWS Lake Formation and automation of ingestion and transformation layers.

• Background in delivering solutions for highly regulated industries.

• Passion for mentoring and enabling data engineering best practices across teams.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.

• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.

• Healthcare Access: Convenient online GP services.

• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.

#LI-DNI

Senior Data Engineer - AWS 

Location:Edinburgh (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Engineer future-ready data platforms that power financial transformation.

The Role
We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next-gen transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact the way data is ingested, transformed, and served at scale across the financial services industry. This role will sit in our Scotland office, with a need to potentially work in either Edinburgh or Glasgow depending on client expectations.

This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations.

What You’ll Do

• Design and build end-to-end data pipelines leveraging AWS-native tools and modern data architectures.

• Collaborate with clients to gather requirements, define solutions, and deliver production-grade systems.

• Apply AWS Well-Architected Principles to ensure scalability, security, and resilience.

• Lead in the development of robust, tested, and fault-tolerant data engineering solutions.

• Support and mentor junior engineers, contributing to knowledge sharing across the team.

What We’re Looking For

• Proficient in one of Python, Scala or Java with strong experience in Big Data technologies such as: Spark, Hadoop etc.

• Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis).
• Proficiency in AWS cloud environments.
• Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing.

• A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR.

Bonus Points For

• Expertise in Data Modelling, schema design, and handling both structured and semi-structured data.

• Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks.

• Exposure to AWS Lake Formation and automation of ingestion and transformation layers.

• Background in delivering solutions for highly regulated industries.

• Passion for mentoring and enabling data engineering best practices across teams.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.

• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.

• Healthcare Access: Convenient online GP services.

• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.

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Senior Data Architect – Wealth & Asset Management.

Location: Edinburgh (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Design the blueprint. Architect the future of the Wealth & Asset Management industry. Empower data transformation.

The Role
Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset Management clients. In this senior consulting role, you will guide wealth managers, asset managers, and private banks through large-scale data transformation journeys - defining enterprise data strategies, designing target architectures, and building scalable, cloud-based platforms that support advisor and client experiences, investment analytics, regulatory reporting, and operational efficiency.

Alongside client delivery, you will contribute to evolving Capco’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems.

What You’ll Do

• Lead agile consulting engagements delivering modern data architecture and cloud transformation across Wealth & Asset Management
• Define and implement scalable enterprise data strategies spanning programmes and business units.
• Design canonical WAM data domains and models (client/household, portfolio/account, holdings/transactions, instruments & pricing, performance, fees).
• Architect and deliver cloud-native data platforms (AWS, Azure, GCP) enabling advisor/client journeys and advanced investment analytics (risk, performance, reporting).
• Define integration patterns across core WAM platforms (CRM/advisor, OMS/PMS, wealth back office, custody, market/reference data, reporting).
• Establish robust data quality, reconciliation, and control frameworks (e.g., holdings vs. books & records/AUM, pricing, corporate actions, fees/NAV).
• Drive master and reference data strategies (clients, instruments, counterparties, legal entities) aligned to governance, metadata, privacy, and stewardship.
• Act as a subject matter expert, translating complex technical concepts into clear business value for senior stakeholders.

What We’re Looking For

• Proven experience delivering enterprise data architecture and cloud data engineering, including platform design within Wealth & Asset Management environments.
• Deep knowledge of contextual, logical, and physical data modelling practices applied across Front Office, Investments, Operations, and Risk/Compliance domains.
• Strong understanding of core WAM data concepts (client/householding, suitability & risk profiling, holdings/positions, trade lifecycle, pricing, performance, fees).
• Hands-on experience with cloud-based data ecosystems (AWS, Azure, GCP) and modern data stacks, including cloud migration and transformation programmes.
• Experience integrating and architecting around key WAM platforms and data sources (CRM, OMS/PMS/wealth back office, custody/fund accounting, Bloomberg/market data, reporting layers).
• Understanding of data management tooling, security frameworks, and control environments within regulated financial services.
• Exposure to WAM regulatory and ESG requirements (MiFID II, SFDR, PRIIPs/KIDs, FATCA) and their impact on data models, lineage, and controls.
• Strong communication skills, able to engage and influence stakeholders across both technical and non-technical teams.

Bonus Points For

• Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks)
• Experience in data lake design and large-scale data migrations
• Familiarity with graph computing and semantic data modelling
• Background in Financial Services with stakeholder management in complex environments
• Ability to lead teams and contribute to the development of Capco’s data architecture propositions

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, e-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-DNI