Data Operations Analyst in Amsterdam

P-1317 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: BS (or higher) in Computer Science, or a related field 2+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Good knowledge of SQL. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worl

P-1325 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 8+ years of production level experience in either Java, Scala or C++. Experience with low level systems (OS, network stacks, CPU optimizations). Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%

P-969 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of

About Adyen Adyen is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution, Adyen helps businesses achieve their ambitions faster. We are a fast-growing, dynamic company with a culture deeply rooted in collaboration, innovation, and customer-centricity. The Role We are looking for a highly strategic, visionary, and technically adept Vice President of Product, In Store Experience . In this executive-level role, you will be the driving force behind our in person payments strategy, leveraging a deep knowledge of Hardware, Software and data driven insights across Payments and Loyalty to shape the future of our product offerings. You will lead a high-performing team of Group Product Managers, Product Leaders and Product Managers, partnering closely with Engineering, Partnerships, Supply Chain and Commercial teams to deliver solutions that meet the complex needs of our enterprise customers. If you are obsessed with payments, possess an exceptional product sense, and know how to bridge high-level vision with measurable execution, we want to hear from you. What You’ll Do Define the Strategy: Craft and execute a compelling product strategy for Adyen in person payments globally, applying a strong, sharp product sense to every decision. Drive Cross-Functional Success: Operate seamlessly with cross-functional (XFN) partners across Engineering, Partnerships, Commercial, Supply Chain and other XFN teams to align roadmaps and deliver high-impact products. Build and Lead a World-Class Team: Lead, mentor, and scale a strong organization of Product Managers and Product Leaders, fostering a culture of ownership, technical excellence, and speed. Champion the Customer: Act as a strategic partner to our most important clients. You will regularly present the product roadmap to key strategic customers, listen deeply to their needs, and help them navigate and

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

(FEQ427R351) Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure As a Senior Specialist Solutions Engineer, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. This is a customer-facing role that works with and supports the Field Engineering pre-sales teams and requires hands-on production experience with cloud infrastructure and big data technologies. Specialist Solutions Engineers help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Technical thought leader : Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices, including automation Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, workload sizing, and custom architectures Cloud Infra & Security Expertise Architect production-level cloud native governed workloads Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community. What we look for: Pre-sales or post-sales experience working with external customers (or internal clients/stakeholders) across industries 4+ years of experience designing Cloud infrastructure/Security and services, s

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers. As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales. Here are a few informative blogs about the Engagement Management role: https://www.mongodb.com/blog/post/engagement-management-mongodb-meet-lalitesh-pal https://www.mongodb.com/blog/post/how-engagement-managers-help-customers-succeed This role will be based remotely in Germany or Amsterdam. What you’ll do at MongoDB Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies Help transform companies by translating their use-cases, pains, and needs into s

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

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working c

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Services Business Development – Retail & Commerce (Fluent in Dutch) Overview Mastercard Services helps organizations make better business decisions through data, insights, consulting, and technology-enabled solutions. As Mastercard continues to expand its Services business in the Netherlands, we are seeking a Director, Business Development to drive growth across Retail & Commerce organizations. This role will focus on building commercial relationships with leading merchants, identifying new opportunities, and helping customers solve business challenges through Mastercard's broad portfolio of Services offerings. Working closely with specialist sales teams and internal partners, the successful candidate will play a key role in expanding Mastercard's presence within one of its strategic growth segments while supporting long-term revenue growth across the Dutch market. All About the Role • Drive growth of Mastercard Services across Retail & Commerce organizations in the Netherlands. • Develop and expand executive-level relationships within major retail, ecommerce, and fintech accounts. • Identify new commercial opportunities and build a qualified sales pipeline. • Lead customer discussions to uncover business priorities and align Mastercard Services capabilities t

Job Title Internship: Finance & Accounting - Group Consolidation & Reporting (non-thesis) Job Description Start Date : as soon as possible Duration: at least / 6 months Type: Internship (non-thesis) Weekly Presence: 40h Location: Amsterdam Internship: Finance & Accounting - Group Consolidation & Reporting (non-thesis) Assists in the planning and coordination of the quarterly press release and annual report process. This involves liaising with other teams within Royal Philips (e.g., Group Sustainability, Philips Design, Group Tax). Assists in XBRL filings for the Dutch Authority for the Financial Markets (AFM) and the US Securities and Exchange Commission (SEC). Retrieves and processes data from our financial system to our reporting tool. Assists in preparation and presentation of reports or findings for internal and external stakeholders, ensuring that all findings are presented with utmost accuracy and clarity. Analyzes data related to departmental projects, identifying significant trends, patterns, and anomalies, and delivering actionable recommendations that drive data-informed decision-making. Conducts research on relevant topics and areas by investigating current trends, industry best practices and competitive landscape to provide comprehensive insights and support the strategic direction of ongoing projects and initiatives. Participates in team meetings, contributing ideas and input, while also capturing detailed minutes that accurately reflect discussions, decisions, and action items, ensuring effective communication and follow-up within the team. Contribute to other ad hoc projects, such as GC&R team projects or process improvements projects. You are a part of The Group Consolidation and Reporting (GC&R) team, wh

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company t hat empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the Role We are seeking a Strategic Account Manager to drive revenue retention and growth across Appier's strategic accounts in EMEA. This is a senior role on our Strategic Account team, responsible for the long-term growth of a portfolio of our highest-value clients. You will find and execute the highest-impact growth opportunities across your accounts, solve the complex performance and measurement problems that unlock them, and build the client relationships and internal coordination to do this repeatably rather than one account at a time. The role is about understanding what drives account growth and owning the outcome, not just managing day-to-day delivery. What You Will Do (Responsibilities) Revenue Retention & Growth: Own revenue outcomes across a portfolio of strategic accounts, and hit retention and expansion targets. Find and close growth opportunities such as budget increases, product adoption, and geographic expansion. Watch for early churn signals and act on them with reactivation, retention, or commercial plans. Client Ownership & Strategy: Build and own 12-month account growth plans covering relationship mapping, upsell and cross-sell strategy, testing roadmaps, and revenue targets. Act as a trusted advisor to clients at every level, up to executive leadership, through planning sessions and regular QBRs that focu

(FEQ427R727) The Role We are looking for a creative, execution-oriented Senior Solutions Architect to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks in the Life Science industry. You will bring experience as an architect on large, complex, multinational accounts, and your mission will be to drive the technical and consumption strategy for one of the world's most notable life science companies. This will be driven in partnership with regional account executives and the global account team. As a Senior Solutions Architect at Databricks, you will come with an informed and compelling point of view on the Data, Analytics and AI space, which will guide your technical strategy and, together with our teams and partners, allow you to provide exceptional value and build lasting trust with executives and technical champions at the account. The Impact You Will Have Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy. Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, including GenAI and agentic AI workflows (Agent Bricks, AI Functions, LLMOps). Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team. Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms. Orchestrate cross-functional teams (Delivery & Specialist SAs, Partners, Product) to deliver enterprise-grade solutions. Coach and develop junior engineers/architects on technical depth, customer engagement, and use case prioritisation. Contribute to Field Engineering thought leadership through customer-facing co

At bunq, we're not just building a banking app; we're reshaping how people around the world experience financial freedom. As a (Senior) iOS Developer, you’ll be instrumental in crafting and maintaining cutting-edge mobile applications that elevate our users' banking journeys. Collaborate with our dynamic team to deliver a seamless, innovative, and user-friendly experience on the iOS platform. Take Ownership Develop and maintain scalable iOS architecture, ensuring efficiency and a seamless user experience using Swift and iOS SDK. Integrate and optimize REST APIs, managing authentication, error handling, and data flow for smooth performance. Enhance CI/CD and testing automation, maintaining fast release cycles and ensuring robust app quality. Develop new features and fix bugs proactively, keeping performance sharp and delivering a seamless experience for our user. Proficiency in Swift, Objective-C, and SwiftUI to build intuitive, high-performance interfaces. Experience in designing scalable and secure network layers using REST APIs & authentication. Familiarity with CI/CD pipelines and automated testing for implementing continuous testing strategies. Expertise in state management and UI frameworks to create fluid, responsive applications using UIKit or SwiftUI. Fluency in English to effectively communicate in a global team and ensure collaboration and clarity across all project stages. All new hires are subject to Pre-employment Screening (PES), which includes checks conducted by our third-party partner, Zinc. This is part of our commitment to a secure and trustworthy workplace Curious to see how we make life easy? - try the bunq app , it only takes 5 minutes to sign up. Your space to perform We give you the space and the tools you need to succeed 💪🏼 🤟 Great, international colleagues who share your mindset 👩‍💻 Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. 🧳 Digital Nomad Program: After your first year, enjoy up to 20 days p