Jobs in Netherlands

Data Security Engineer Salary Guide in Netherlands

37 active opportunities · Updated October 2026

Explore current data security engineer salary guide jobs across Netherlands. Filter by work mode, employment type, experience, department, date posted and distance.

A
📍 Amsterdam, North Holland, Netherlands
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Documentation Tooling Team The Documentation Tooling Team is responsible for building the systems and foundations that improve how technical knowledge is created, structured, and delivered across Adyen’s developer ecosystem. You will work on core challenges related to content quality, freshness, consistency, scalability and the ability to make information usable both for people and agents. In this role, you will build the next generation of Adyen’s knowledge platform. This platform turns static documentation into structured, queryable knowledge.This includes structuring content, connecting content from multiple sources and building interfaces that make technical documentation accessible across products and tools as knowledge. Your work will power reliable, contextual and efficient access to information for customers, developers, AI agents and internal teams. The team is a strategic part of the Developer Experience group within the Customer Experience solution. Our mission is to provide clear, accurate, and accessible knowledge that supports customers throughout their integration journey and helps them move quickly with confidence. Core Focus Area Content Architecture: Design scalable graph schemas, ontologies, and metadata models that support consistency, reuse, and discoverability across documentation. Serverless Pipeline Orchestra

PythonAWSKubernetesGit
A
📍 Amsterdam, North Holland, Netherlands
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Documentation Tooling Team The Documentation Tooling Team is responsible for building the systems and foundations that improve how technical knowledge is created, structured, and delivered across Adyen’s developer ecosystem. You will work on core challenges related to content quality, freshness, consistency, scalability and the ability to make information usable both for people and agents. In this role, you will build the next generation of Adyen’s knowledge platform. This platform turns static documentation into structured, queryable knowledge.This includes structuring content, connecting content from multiple sources and building interfaces that make technical documentation accessible across products and tools as knowledge. Your work will power reliable, contextual and efficient access to information for customers, developers, AI agents and internal teams. The team is a strategic part of the Developer Experience group within the Customer Experience solution. Our mission is to provide clear, accurate, and accessible knowledge that supports customers throughout their integration journey and helps them move quickly with confidence. Core Focus Area Content Architecture: Design scalable graph schemas, ontologies, and metadata models that support consistency, reuse, and discoverability across documentation. Serverless Pipeline Orchestra

PythonAWSKubernetesGit
A
📍 Amsterdam, North Holland, Netherlands
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Fraud Risk Management Expert A key part of building our business is ensuring we do it ethically and sustainably. In order to do so, Adyen needs to understand and monitor at all times what happens on our platform and whether this is in line with regulations and our risk appetite. And that in a scalable and adaptive way. To achieve this, we are looking for a Senior Fraud Risk Management Expert to join our Financial Crime Compliance Department based in Amsterdam and covering our global business. While you will engage with regulatory topics, your primary focus will be hands-on Fraud Risk Assessments, designing end-to-end Fraud Control Frameworks, and assessing control effectiveness across our global products. Are you a senior specialist who thrives on evaluating fraud risks across distinct customer segments and financial products, and translating those insights into scalable controls? Then this is the role for you! What you’ll do Guide the design and oversee the build of the end-to-end Fraud Control Frameworks . Define baseline fraud controls tailored to specific client segments and financial products. Perform deep-dive Fraud Risk Assessments . Lead risk evaluations (e.g., Issuing Fraud risk assessments, Account Takeover, First-Party Fraud, Application Fraud) focusing on among other customer segments, new product launches,

A
📍 Amsterdam, North Holland, Netherlands
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. AML Compliance Investigations Team Lead A key part of building our business is ensuring we do it with sustainable outcomes, compliant with regulations. Trust from all stakeholders is a key enabling factor to make Adyen successful in the long term. To achieve this, Adyen has organized a mature Second Line function that partners with the business to cut through financial crime risk complexities and power sustainable growth. Our Anti-Money Laundering (AML) Compliance team and framework are at the core of this. Within the global AML Compliance team, we are looking for an experienced professional located in Amsterdam and with a proven track record in AML Compliance. They will be leading the AML Compliance Investigations team, which is conducting Second Line AML Investigations and is responsible for the submission of Suspicious Activity Reports (SARs) to multiple local Financial Intelligence Units (FIUs). The mandate is to further grow this team of talented investigators, and develop beyond investigations into the proactive maintenance of SAR program oversight, managing local nuances, FIU contacts, and providing the rest of the Adyen organization insights into SAR trends and management reporting. So: this is not an operational role managing the status quo, but on top of this enabling Adyen to grow in a compliant manner. What you’ll

RecruitmentHR
PE
📍 Netherlands· Full-time
✓ Quality checked

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centres around leveraging data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesise disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions.

PE
📍 Netherlands· Full-time
✓ Quality checked

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.

A
📍 Amsterdam, North Holland, Netherlands
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products The Financial Products solution is responsible for all financial products that we offer on top of payments processing to our customers. Examples of these are our Banking, Issuing, Fx, and Capital products. Whether we work with large partner platforms, medium sized local merchants, or major international enterprise businesses, our products need to meet our clients expectations and seamlessly fit into their systems. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers. Build APIs and tooling according to quality principles such as performance and code quality. Collaborate across teams and time zones to get projects over the finish line. Who you are: Familiar with complex large scale distributed systems. You have experience with Java,

JavaSQLPostgreSQL
D
📍 Netherlands· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As the EMEA Lead – Sales Engineering, you'll lead and grow DevRev's Sales Engineering team across EMEA. It's a hands-on leadership role, you'll directly manage a distributed team of SEs across multiple markets and time zones, while personally partnering with Sales leadership on the region's most strategic opportunities. You'll set the bar for a high-quality technical experience across the customer journey — blending technical depth with storytelling across demos, evaluations, and proposals, in close collaboration with Sales, Product, Engineering, and Customer Success. What you'll do Hire, coach, and grow a distributed team of Sales Engineers across multiple EMEA markets — owning recruiting, ramping, goal-setting, reviews, and career development. Manage team capacity and coverage — allocating SE resources across deals, markets, and time zones, and representing SE in regional Sales leadership and forecasting. Own SE strategy and execution across EMEA, partnering with Sales leadership on pipeline growth and revenue targets. Act as the senior technical leader on strategic, complex enterprise deals — from discovery through demos, PoCs, and proposals. Enable partners, resellers, and sales teams through workshops,

JavaScriptTypeScriptPythonJava
B
📍 Amsterdam, Noord-Holland, Netherlands· Full-time
✓ Quality checkedCompany trend -100%

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern

PythonAIGoRust
B
📍 Amsterdam, Noord-Holland, Netherlands· Full-time
✓ Quality checkedCompany trend -100%

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

PythonMachine LearningAIGo
B
📍 Amsterdam, Noord-Holland, Netherlands· Full-time
✓ Quality checkedCompany trend -100%

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

PythonCI/CDRestAI
B
📍 Amsterdam, Noord-Holland, Netherlands· Full-time
✓ Quality checkedCompany trend -100%

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Senior Software Engineer to take technical ownership of our Core systems and help shape how they evolve through our scale-up phase. This is a role for an engineer who has already built and operated correctness-critical systems at scale and who wants their technical decisions to set direction, not just follow it. What will you do? You will own the systems that keep our trading operation accurate at every level — positions, PnL, instruments, hedging, and the data flowing between them. Across exchanges and asset classes, your work determines whether the numbers our traders and risk team rely on are correct. As a senior engineer, you will also set the technical standards the rest of the team builds against. You will: Own the books. Maintain and evolve our position, trade, and PnL systems so they remain accurate across every venue. Architect the platform that supports trading. Design services that handle real-time exchange flow with the throughput and reliability our quoting and hedging depend on, making the structural calls that keep them fast and correct under load. Own the data flows. Operate and harden the public and private pipelines bringing market prices, account state, and trade events into our systems in real time. Lead venue integrations end-to-end. Deliver exchange and prime-broker integrations across protocol, account model, settlement, reconciliation, and surveillance and define the patterns we reuse for the next one. Model the instrument universe. Own the systems describing every tradable instrument - lifecycle, expiry, margin, RFQs, fast-path quoting - where both correctness and latency matter. Build self-healing systems. Design the detection and repair flows that identify position discrepancies and correct them automatically. Own hedging inf

PythonSQLPostgreSQLRest
B
📍 Amsterdam, Noord-Holland, Netherlands· Full-time
✓ Quality checkedCompany trend -100%

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Software Engineer to join our Foundation team amid our exciting scale-up phase! You will Build & optimize: Design, develop, and maintain high-reliability, low-latency, and high-throughput foundational systems that enable our trading and technology teams to scale efficiently. Ingest & aggregate: Collect trading business data with minimal latency impact and ingest both public and private exchange information into our trading system. Store & stream: Develop and maintain infrastructure for real-time data aggregation and long-term storage, as well as our Kafka-based messaging systems. Collaborate & support: Work closely with multiple teams, assisting them in integrating with and making the most of our foundational systems. Innovate: Drive projects from concept to deployment with full ownership, and explore new tools, frameworks, and approaches to keep our infrastructure best-in-class. The Foundation team develops core software infrastructure (libraries, frameworks, and systems) for BlockTech, solving common problems and lending its expertise to enable other teams to stay focused on their respective domains. They own, develop, and configure a wide variety of critical, high-reliability software, ranging from low-level ultra-low-latency shared memory IPC libraries to high-throughput data buses and data aggregation systems including Kafka, NATS, PostgreSQL, and Iceberg. They work primarily in Rust, but also use Python and SQL. If you thrive on low-level problem-solving, building robust frameworks from scratch, and enabling others to move faster, this role is for you. What We're Looking For Essential: 5+ years of experience as a Software Engineer, with a strong focus on systems-level optimisation and awareness of hardware constraints Proficiency

PythonSQLPostgreSQLAI
B
📍 Amsterdam, Noord-Holland, Netherlands· Full-time
✓ Quality checkedCompany trend -100%

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Software Engineer to join our Core team amid our exciting scale-up phase! The role In this role, you will work on the systems that keep our trading operation accurate at every level, positions, PnL, instruments, hedging, and the data flowing between them. Across exchanges and asset classes, your work determines whether the numbers our traders and risk team rely on are correct. Own the books. Maintain and evolve our position, trade, and PnL systems so they remain accurate across every venue we operate on. Build the platform that supports trading. Design services that handle real-time exchange flow with the throughput and reliability on which our quoting and hedging depend. Own the data flows. Operate the public and private data pipelines that bring market prices, account state, and trade events into our systems in real time. Integrate new venues. Deliver exchange and prime-broker integrations end-to-end, protocol, account model, settlement, reconciliation, and surveillance. Model the instrument universe. Own the systems that describe every tradable instrument we trade, lifecycle, expiry, margin, RFQs, fast-path quoting, where both correctness and latency matter. Develop self-healing systems. Build the detection and repair flows that identify position discrepancies and correct them automatically. Build hedging infrastructure. Design and refine the gamma and delta hedging systems that our trading strategies depend on. Deliver reporting. Provide the data that internal stakeholders and regulators require, PnL breakdowns, trade surveillance, treasury accounting, and compliance. What we're looking for 1+ years of commercial working experience as a Software Engineer. We are looking for an engineer with breadth: someone comfortable moving between a Rust service

PythonSQLPostgreSQLAI
P
📍 Eindhoven, Netherlands
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

Machine LearningArtificial IntelligenceAI

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