Senior Data Engineer

flatexDEGIRO AG; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

30 days paid leave

Transport allowance

Pension plan

Company laptop

Gym membership

Office near Amstel Station

Fruit and snacks

Job summary

flatexDEGIRO is seeking a Senior Data Engineer to join a newly forming AI Hub. You will build secure data pipelines, APIs, and reusable data foundations that power enterprise AI, enabling scalable retrieval, vector search, and governance.

You’ll collaborate with AI and MLOps engineers, architects, and security teams, shaping data infrastructure for enterprise-grade AI tools and platforms while balancing speed, quality, and governance.

Qualifications

• 5 to 8 years of experience in software engineering, data engineering, platform engineering, or a similar technical role.
• Strong hands-on experience with Python and SQL.
• Experience building and delivering services in production environments.
• Strong understanding of APIs, integration patterns, and secure enterprise architecture.
• Familiarity with vector databases, search, retrieval patterns, and RAG-related architectures.
• Experience with CI/CD, containers, observability tooling, and modern engineering practices.
• Good understanding of data governance, access control, security, privacy, and compliance requirements.
• Ability to build reusable components, internal libraries, SDK patterns, or scalable technical foundations.
• Experience with RAG-based applications or similar AI architectures would be considered an advantage.
• Familiarity with infrastructure automation and API security would be a plus.
• Background in financial services, fintech, banking, or another regulated environment would be beneficial.

Responsibilities

• Build secure ingestion, transformation, and retrieval pipelines for enterprise data.
• Develop scalable APIs and application components that support AI services and RAG-based solutions.
• Design and maintain data access patterns that are secure, governed, and aligned with compliance requirements.
• Work with structured and unstructured data sources to support retrieval, vector search, and AI application needs.
• Create reusable data components, internal SDK patterns, and technical building blocks for future AI workloads.
• Enable governed access to enterprise data sources in line with security, privacy, and internal control standards.
• Integrate AI services with existing CI/CD, observability, monitoring, and IT control processes.
• Collaborate with AI Engineers, MLOps Engineers, architects, security, IT operations, and business stakeholders.
• Maintain high standards for code quality, automation, performance, and operational resilience.
• Proactively identify ways to improve data availability, retrieval quality, and reusability across AI use cases.
• Actively use AI in your own engineering work to improve productivity, automation, testing, documentation, and delivery speed.

Skills

Python

SQL

APIs

CI/CD

Containers

Observability

Security

Data governance

RAG

Vector databases

Retrieval patterns

SDK patterns

Infrastructure automation

API security

Job description

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flatexDEGIRO SE operates the leading and fastest growing online brokerage platform in Europe. Based on modern, in-house state-of-the-art technology, customers of the flatex and DEGIRO brands are offered a wide range of independent products with execution on top TIER 1 exchanges. The technological edge, high efficiency and strong economies of scale enable us to continuously improve our service offering for clients and to set leading standards in terms of product, price and platform quality.

With more than 3,5 million customer accounts and more than 75 million securities transactions processed in 2025, flatexDEGIRO is the largest retail online broker in Europe. In times of bank consolidation, growing digitalization and the immanent need of millions of Europeans to take their financial future into their own hands, flatexDEGIRO is ideally positioned for further profitable growth.

Want to know what it’s like to work for flatexDEGIRO?

Check out our Instagram @lifeatflatexdegiro and meet the great people that makes us who we are! Do you already see yourself as part of this team?

As a Senior Data Engineer you will join a newly forming AI Hub with the mission to build the data and application foundation behind scalable AI tools and platforms. Your work will directly shape how enterprise data is accessed, transformed, retrieved, and used to power AI solutions that improve the way our business operates and the way our clients experience our services.This is not a role focused on building isolated data pipelines or supporting one-off prototypes. We are building AI capabilities that need to be secure, reusable, scalable, and ready for enterprise adoption. That means the data foundation behind them must be strong, well-designed, and practical enough to support real-world use.We are looking for a builder who understands that great AI depends on great data engineering, robust software design, secure access patterns, and reliable retrieval foundations. Someone who thinks beyond the task, challenges existing patterns, and brings bold but practical ideas to the table. You should be comfortable operating in an evolving environment, actively using AI in your own work, and helping us shape reusable data capabilities that will support the future of AI across the company.

This is what you’ll be doing

• Build secure ingestion, transformation, and retrieval pipelines for enterprise data.
• Develop scalable APIs and application components that support AI services and RAG-based solutions.
• Design and maintain data access patterns that are secure, governed, and aligned with compliance requirements.
• Work with structured and unstructured data sources to support retrieval, vector search, and AI application needs.
• Create reusable data components, internal SDK patterns, and technical building blocks for future AI workloads.
• Enable governed access to enterprise data sources in line with security, privacy, and internal control standards.
• Integrate AI services with existing CI/CD, observability, monitoring, and IT control processes.
• Collaborate with AI Engineers, MLOps Engineers, architects, security, IT operations, and business stakeholders.
• Maintain high standards for code quality, automation, performance, and operational resilience.
• Proactively identify ways to improve data availability, retrieval quality, and reusability across AI use cases.
• Actively use AI in your own engineering work to improve productivity, automation, testing, documentation, and delivery speed.
• You’ll bring us these skills

We are looking for an experienced engineer who can combine strong data engineering skills with software engineering discipline and a pragmatic AI mindset. You should be comfortable building foundations that others can reuse, extend, and scale.

You’ll bring us these skills:

• 5 to 8 years of experience in software engineering, data engineering, platform engineering, or a similar technical role.
• Strong hands-on experience with Python and SQL.
• Experience building and delivering services in production environments.
• Strong understanding of APIs, integration patterns, and secure enterprise architecture.
• Familiarity with vector databases, search, retrieval patterns, and RAG-related architectures.
• Experience with CI/CD, containers, observability tooling, and modern engineering practices.
• Good understanding of data governance, access control, security, privacy, and compliance requirements.
• Ability to build reusable components, internal libraries, SDK patterns, or scalable technical foundations.
• Experience with RAG-based applications or similar AI architectures would be considered an advantage.
• Familiarity with infrastructure automation and API security would be a plus.
• Background in financial services, fintech, banking, or another regulated environment would be beneficial.

Most importantly, you bring a proactive and value-oriented mindset. You do not only build pipelines because they were requested. You think about what data foundations AI teams will need next, how to make them reusable, and how to balance speed, quality, and governance in a fast-moving environment.

Interested? This is what we offer you

• Promise of a good work-life balance
• 30 days paid leave
• An enthusiastic and fun team to work with
• Personal and professional development with access to relevant courses
• Transport allowance or related benefits like a leased electric bike
• Pension plan
• A challenging job in an international and fast-growing company
• A lot of freedom executing your role and a chance to shape your own career
• The opportunity to participate in a new, enthusiastic team of likeminded professionals

To make your life easier

You get the freedom to work flexible. Meaning you don’t have to work in our office every day, but we like it if you do of course! It’s fun to come in and mingle with your colleagues. There is also fruit, good coffee, drinks & snacks, and great sandwiches for lunch every day. Our beautiful and modern office in located in the iconic Rembrandt tower that is conveniently next to Amstel Station. To make work@home comfortable we offer a €35 internet allowance, provide a company laptop and many options to make it comfortable, such as a chair, screen and headphones. And last but not least: the gym membership options we provide is an easy way to get into shape!

Want to invite your friends to work for us as well? A generous referral bonus will be yours if they get hired, so spread the word once you start!

All qualified applicants will receive consideration for employment without regard to ethnicity, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or any other legally protected status. flatexDEGIRO is an Equal Opportunity Employer.

flatexDEGIRO Dutch Branch
Petar Patev
Corporate Recruiter