platform engineer

senior backend engineer Jobs in Amsterdam

senior backend engineer

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senior data platform engineer Jobs in Amsterdam

senior data platform engineer

senior platform engineer Jobs in Amsterdam

senior platform engineer

back end developer

Client Server

<div>
 <p>
  <strong>
   <u>
    Full Stack Developer / Engineer (Kotlin AWS JavaScript) Amsterdam to &euro;85,000
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you a skilled Full Stack Developer looking for an opportunity to progress your career whilst working with a modern tech stack and continually improving your skills?
 </p>
 <p>
  <br/>
 </p>
 <p>
  You could be joining a scaling, global FinTech company, working on a successful product that helps global companies to achieve sustainability and NetZero targets via Blockchain technology solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Full Stack Developer you will work across the full technology stack with a focus on Kotlin backend systems but also with some front end (JavaScript, Angular / React) work. You'll quickly gain an understanding of the complete ecosystem of the modern, distributed application with a broad scope of work including AWS, mobile applications, trading and transfer functionality and integration of 3rd party platforms.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work on worthwhile technology that is helping to increase decarbonisation whilst working on complex and interesting systems with continual learning opportunities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WFH Policy:
  </strong>
 </p>
 <p>
  You'll join colleagues in the Amsterdam office two days a week with flexibility to work from home the other three days.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you:
  </strong>
 </p>
 <ul>
  <li>
   You have strong serverside Kotlin experience (Java background is good)
  </li>
  <li>
   You have experience with Spring Boot and microservices
  </li>
  <li>
   You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures
  </li>
  <li>
   You have a good knowledge of AWS
  </li>
  <li>
   You have a good understanding of CI/CD, DevOps
  </li>
  <li>
   You also have some JavaScript, Angular, React front end skills
  </li>
  <li>
   You're collaborative, enjoy problem solving and continually learning
  </li>
  <li>
   You're keen to work in a start-up / scale-up environment with lots of ownership
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What's in it for you:
  </strong>
 </p>
 <ul>
  <li>
   Salary to &euro;85,000
  </li>
  <li>
   Flexible working in a relaxed technology focussed environment
  </li>
  <li>
   Continual learning and self-development opportunities
   <strong>
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply now
  </strong>
  to find out more about this Full Stack Developer / Engineer (Kotlin AWS JavaScript) opportunity.
 </p>
</div>


Full Stack Developer Kotlin AWS JavaScript - Start-up

PRACYVA

<div>
 <p>
  <strong>
   Java Full Stack Developer (8- 10 Yrs)
  </strong>
 </p>
 <p>
  <strong>
   Key Skills &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop scalable, enterprise-grade applications using Java, Spring Boot, and Microservices.
  </li>
  <li>
   Build responsive and modern user interfaces using Angular or React.
  </li>
  <li>
   Design and implement RESTful APIs and backend services.
  </li>
  <li>
   Develop Kafka-based event-driven solutions.
  </li>
  <li>
   Implement logging, monitoring, and observability using ELK Stack.
  </li>
  <li>
   Participate in system architecture discussions and contribute to HLD/LLD.
  </li>
  <li>
   Deploy and support applications on Azure Cloud.
  </li>
  <li>
   Work closely with business, architecture, and DevOps teams to deliver end-to-end solutions.
  </li>
 </ul>
 <p>
  <strong>
   Must-Have Skills
  </strong>
 </p>
 <ul>
  <li>
   Java 8/11/17+, Spring Boot, Microservices
  </li>
  <li>
   Angular (Preferred) / React
  </li>
  <li>
   REST APIs
  </li>
  <li>
   Kafka
  </li>
  <li>
   Elasticsearch &amp; ELK Stack
  </li>
  <li>
   Azure Cloud
  </li>
  <li>
   HLD/LLD &amp; Design Patterns
  </li>
 </ul>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <ul>
  <li>
   ING landscape/domain experienc
  </li>
  <li>
   Experience in banking/financial services environments
  </li>
  <li>
   CI/CD and DevOps exposure (Git, Jenkins, Azure DevOps)
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Java Fullstack

GreenFlux

<div><p><b>About Greenflux</b></p><p>
Greenflux is a leading provider of EV charging software and solutions. Over the years, our platform has evolved with many powerful features which demands clear, structured, and user-friendly documentation available for customers to fully utilize these capabilities.</p><p>
We are looking for a skilled Technical Writer to bring clarity, structure, and consistency to our technical and functional product documentation and help unlock the full potential of our platform for customers.</p><p></p><p><b>
Role Overview</b></p><p>
As a Technical Writer, you will be responsible for transforming complex product functionality into clear, structured, and user-friendly documentation. Your work will directly impact customer adoption, reduce support dependency, and improve the overall product experience.</p><p>
You will collaborate closely with Product Owners, Engineers, Customer Support, and Customer Success teams to create high-quality documentation that is accurate, consistent, and easy to navigate.</p><p>
Technical writers act as a key bridge between product, development teams and end users, translating complex concepts into clear documentation such as product guides, user manuals and knowledge base content.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
Documentation Strategy &amp; Structure</b></p><ul><li>
Define and implement a documentation framework and structure for all product-related content</li><li>
Establish style guides, templates, and documentation standards to ensure consistency across all materials</li><li>
Design and maintain a centralized documentation hub / knowledge base</li></ul><p></p><p><b>
Content Creation</b></p><ul><li>
Develop and maintain:<ul><li>
User guides and feature documentation</li><li>
Customer-facing manuals and onboarding materials</li><li>
FAQs and troubleshooting guides</li><li>
Release notes and feature updates</li></ul></li><li>
Translate complex technical information into clear, concise, and accessible content for non-technical users</li><li>
Write step-by-step workflows that help customers effectively use product features</li></ul><p></p><p><b>
Collaboration &amp; Information Gathering</b></p><ul><li>
Work closely with Product, Engineering, and Support teams to gather accurate information</li><li>
Interview subject-matter experts (SMEs) and validate content for accuracy</li><li>
Align documentation with product releases and roadmap changes</li></ul><p></p><p><b>
Content Maintenance &amp; Governance</b></p><ul><li>
Audit existing documentation to identify gaps, inconsistencies, and outdated information</li><li>
Continuously update documentation to reflect product changes and releases</li><li>
Ensure content is version-controlled and remains relevant over time</li></ul><p></p><p><b>
Quality &amp; Usability</b></p><ul><li>
Ensure all documentation is:<ul><li>
Structured and easy to navigate</li><li>
Consistent in terminology and tone</li><li>
Optimized for customer understanding and usability</li></ul></li><li>
Review and edit existing content for clarity, accuracy, and completeness</li></ul><p></p><p><b><br>
Leveraging AI for Documentation Efficiency</b></p><ul><li>
Identify areas in the documentation lifecycle that can be automated or augmented using AI</li><li>
Actively Leverage AI tools to:</li></ul><p>
o Generate first drafts of documentation from product specs, devops tickets, release notes etc</p><p>
o Integrate AI and automation to identify, capture, and document product and platform changes from development and release processes</p><p>
o Summarize technical inputs into structured, customer-friendly documentation</p><p>
o Convert engineering language into clear, user-facing content</p><p></p><p><b>
Key Outcomes (Success Metrics)</b></p><ul><li>
Reduction in customer support queries related to product and feature usage</li><li>
Improved customer onboarding experience</li><li>
Increased adoption of existing product features</li><li>
Fully structured, searchable, and up-to-date documentation repository</li></ul><p></p><p><b><br>
Core Skills</b></p><ul><li>
Proven experience as a Technical Writer or Technical Documentation Specialist</li><li>
Ability to simplify complex technical concepts for diverse audiences</li><li>
Strong understanding of information architecture and structured documentation</li><li>
Excellent writing, editing, and proofreading skills</li><li>
Experience with actively configuring and using AI tools like Microsoft Copilot, Miro AI and Notion AI to automate workflows</li></ul><p></p><p><b>
Technical &amp; Product Understanding</b></p><ul><li>
Experience working with <b>software products (SaaS preferred)</b></li><li>
Ability to quickly understand product features and technical workflows</li><li>
Familiarity with documentation tools (e.g. Notion)</li></ul><p></p><p><b>
Collaboration &amp; Communication</b></p><ul><li>
Strong stakeholder communication skills</li><li>
Experience working closely with engineering, product and customer support teams</li><li>
Ability to ask the right questions and challenge unclear requirements</li></ul><p></p><p><b>
Nice to Have</b></p><ul><li>
Experience in developer documentation or API documentation</li><li>
Background in EV, energy, or mobility domain</li><li>
Experience setting up documentation systems from scratch</li><li>
Basic UX writing or content design experience</li></ul><p></p><p><b>
What Success Looks Like</b></p><p>
Within the first 3&ndash;6 months, you will:</p><ul><li>
Establish a clear documentation structure and standards</li><li>
Audit and reorganize existing documentation</li><li>
Deliver high-quality, customer-facing documentation for key product areas</li><li>
Enable internal teams to contribute to documentation in a structured way</li></ul><p></p><p><b>
Why This Role Matters</b></p><p>
This is not just a writing role. It is a product enablement role. Clear documentation directly drives product adoption, reduces friction for users, and improves customer satisfaction</p><p></p><p><b><br>
Our offer</b></p><p>
Working at GreenFlux means working in a dynamic, innovative, and informal organization, where innovative ideas and developments flow quickly, and each day brings new opportunities and challenges. At our inspiring office in Amsterdam, you will have the chance to actively contribute to a sustainable future!</p><p></p><p><br>
While GreenFlux has a hybrid work policy, we value the collaborative energy and synergy that comes from in-person interactions. Therefore, we expect our Scrum Master to be present in the office more frequently than the average team member. This presence will help foster stronger team dynamics, enhance communication, and drive the continuous improvement of our agile processes. Additionally, as we have started working more closely with our other foreign subsidiaries, you will be given the opportunity to travel to and collaborate with them as well.</p><p></p><p><br>
Join our revolution in mobility and energy!</p></div><p></p>

Technical Writer-Editor

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (Netherlands)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

Group-IB

<div>
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, citizens, and support law enforcement operations.
 <br/>
 <br/>
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 In this role, you will be instrumental in the engineering and end-to-end development of analytical services designed to provide advanced fraud intelligence. You will leverage your experience in production-grade Python development to enhance our strategic fraud detection capabilities through the analysis of session and network data, development of sophisticated fraud detection logic, and implementation of predictive modeling and scoring methodologies across diverse web entities.
 <br/>
 <br/>
 <strong>
  YOUR MISSION
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
  </li>
  <li>
   Perform advanced research into methodologies for fraud mitigation and anomaly detection within transactional and sessional data environments.
  </li>
  <li>
   Develop and integrate machine learning models and mathematical algorithms into the Fraud Protection ecosystem.
  </li>
  <li>
   Engineer and validate AI Agents tailored for complex analytical operations.
  </li>
  <li>
   Analyze session and network data to develop sophisticated fraud detection logic.
  </li>
  <li>
   Implement predictive modeling and scoring methodologies across diverse web entities.
  </li>
  <li>
   Synthesize research findings into comprehensive documentation and formal presentations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong foundation in tabular data analysis.
  </li>
  <li>
   Experience writing production-ready, asynchronous Python code (Python 3.10+).
  </li>
  <li>
   Experience with Python data analysis and machine learning libraries, including pandas and scikit-learn.
  </li>
  <li>
   Proficiency with Git; experience with Docker is a plus.
  </li>
  <li>
   Proficiency in IDE and terminal-based development.
  </li>
  <li>
   Experience building ETL pipelines.
  </li>
  <li>
   Experience orchestrating AI coding agents efficiently.
  </li>
  <li>
   Research-oriented mindset.
  </li>
  <li>
   Database experience with Elasticsearch, Cassandra, or ClickHouse is highly preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Sets You Apart
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience within the cybersecurity or anti-fraud sectors.
  </li>
  <li>
   Experience implementing AI agents end-to-end.
  </li>
  <li>
   Strong documentation and presentation skills.
  </li>
  <li>
   Experience working with Elasticsearch, Cassandra, or ClickHouse.
  </li>
  <li>
   Good understanding of networking concepts (hosting, VPN, etc.).
  </li>
  <li>
   Understanding of fraud prevention and network protection.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHY CHOOSE GROUP-IB
  <br/>
  <br/>
 </strong>
 Group-IB is a global leader in cybersecurity technologies that investigate, predict, prevent, and fight digital crime. We help organizations reduce risk and protect trust. Trusted by governments, major industries, and law enforcement, we deliver adversary-focused, predictive threat intelligence and cyber fraud fusion solutions that detect, analyse, and mitigate regional and country-specific digital crimes.
 <br/>
 <br/>
 <ul>
  <li>
   Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime.
  </li>
  <li>
   Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East &amp; Africa, Central Asia, and the Asia-Pacific. Your growth is our growth &mdash; Group-IB's expansion across 60+ active country operations means real career acceleration.
  </li>
  <li>
   We fund professional certifications at company expense &mdash; whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials.
  </li>
  <li>
   Work alongside industry leaders. Our Unified Risk Platform &mdash; Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more &mdash; is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost &amp; Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard.
  </li>
  <li>
   Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike &mdash; and neither do the skills you'll develop.
  </li>
  <li>
   A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.
  </li>
 </ul>
</div>


Data Scientist

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 110124</div></div></div></div><div></div><div><ul><div>
Amsterdam</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
You will lead architecture design, drive technology decisions, and co-create innovative products while mentoring clients to adopt Agile practices and engineering excellence. Your work offers hands-on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader.</p><p></p><p>
You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co-create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user-centric solutions.</p><p></p><p>
Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology.</p><p></p><p>
You will design and deliver next-generation products that transform businesses across industries. Based in one of our global locations, you will be part of QuantumBlack, AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultant passionate about creating industry-shaping products and tools.</p><p></p><p>
Your role offers unparalleled opportunities for growth and innovation. You&rsquo;ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Bachelors, Master&rsquo;s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence</p><p>
7+ years of experience in software development, with significant full-stack web application development experience strongly preferred</p><p>
Experience working collaboratively with technical and non-technical team members and stakeholders</p><p>
Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)</p><p>
Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD</p><p>
Strong focus on automated testing, logging, monitoring, and overall system reliability</p><p>
Experience modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness</p><p>
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Senior Software Engineer - QuantumBlack, AI by McKinsey

<div><div><div><div><div><div><div>Job ID: 109606</div></div></div></div><div></div><div><ul><div>
Amsterdam</div><div>
Brussels</div><div>
Lisbon</div><div>
Madrid</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
You will leverage your creativity and problem-solving skills to tackle clients&rsquo; most pressing issues using an analytical lens, meeting client needs and communicating your work to executive audiences.</p><p></p><p>
Client counterparts span a wide range of audiences and functions from treasury and risk professionals, marketing &amp; sales teams, procurement category managers, to high-level stakeholders (e.g., CFO). When working internally, you will build innovative algorithms and products (what we call &ldquo;IP development&rdquo;) to best meet our most common client needs, from building price forecasting models for commodities markets, to brainstorming and developing new offers and solutions to support future clients. You will also work with our engineers to design new interfaces to deliver faster, more impactful insights to our clients.</p><p></p><p>
Your work on the team will primarily be in applying advanced analytics to enable better commodity risk management decisions. For example, you might work as the lead in maintaining and expanding existing hedging strategies by re-training existing models through process driven approaches. You might also modify and improve algorithm performance across market regimes, by introducing new features, data sources, and modelling approaches; rapidly identify opportunities for our clients to increase earnings potential and reduce downside risk by back testing various risk management strategies; co-build bespoke tools with client data science teams that tailor machine-learning algorithms to attain an optimal balance of earnings and volatility given clients&rsquo; risk appetite and capital constraints; and/or collaborate with and train cross-functional client teams to instill long-lasting capabilities and ensure new decision-making models are embraced by organizations.</p><p></p><p>
You will receive best-in-class training in structuring business problems and serving as a client adviser and have opportunities to work closely with and learn from our senior commodity and risk practitioners, as well as industry players that are shaping the future of commodity markets and trading. You will get access to unparalleled career acceleration, with a huge amount of ownership and responsibility from the get-go in a collaborative, diverse, non-hierarchical environment. You will get the opportunity to travel to client sites, locally and around the world (once travel resumes). Lastly, you will be able to provide direct and measurable impact to some of the largest organizations in agribusiness, materials, energy, industrial, and consumer foods sectors around the globe.</p><p></p><p>
As a member of the Commodity Analytics team, you will be based in one of the following offices: Brussels, Amsterdam, Madrid or Lisbon. You&rsquo;ll work closely with McKinsey&rsquo;s Commodity Trading Service Line to support clients across sectors and geographies.</p><p></p><p>
Commodity Analytics helps commodity producers, processors, buyers, and traders across agriculture/softs, metals, energy, and consumer sectors improve commodity price risk capabilities with cutting-edge data science.</p><p></p><p>
The Commodity Trading Service Line at McKinsey supports clients in commodity trading and risk strategy, trading operations transformation, and trading and risk digitization driven by deep trading experts with hands-on trading experience and advanced analytics assets.</p><p></p><p>
Our Risk Practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Undergraduate degree is required; Advanced degree in a quantitative discipline (computer science, applied mathematics, economics, quantitative finance, engineering) or equivalent practitioner experience is preferred</p><p>
2+ years&rsquo; experience in commodity markets developing market research, trading, or hedging/risk management strategies such as netback/deal economics, signal backtesting, stress testing, and/or hedge effectiveness is preferred but not required</p><p>
2+ years&rsquo; experience in physical/cash markets of metals, power/electricity markets, natural gas, crude oil, refined products, and/or ocean freight is preferred but not required</p><p>
2+ years&rsquo; experience applying time series analysis of mean-reverting and cointegrated commodity prices/premiums (e.g., ARIMA, VECM, GARCH),supervised learning (e.g., SVM, LSTM, parallel or sequential tree-based models), unsupervised learning (e.g., PCA, K-means clustering), optimization (e.g., LP/MILP and stochastic models), and/or NLP sentiment analysis is preferred but not required</p><p>
6+ months&rsquo; experience with LLM-based analytics in enterprise settings (e.g., document/comms extraction, RAG, evaluation/guardrails) is preferred but not required</p><p>
Experience integrating data science and/or automation workflows with CTRM/ETRM systems via API is preferred but not required</p><p>
Experience automating middle/back-office processes with PRA and LLMs (e.g., pre-trade KYC/credit, trade execution, compliance, logistics, trade settlement) is preferred but not required</p><p>
Production-quality Python for model development, including optimization, time series forecasting, feature engineering, backtesting, and evaluation using standard DS toolkits (e.g., pandas, scikit-learn, statsmodels, gradient boosting, etc.) is required</p><p>
Familiarity with pytest and reproducible research workflow; experience operationalizing models: versioned experiments, CI/CD, model monitoring and drift detection, and collaboration with engineering on APIs and model/solution design is required</p><p>
Experience applying advanced analytical and statistical methods to solve business problems involving commodity markets is required</p><p>
Ability to explain commodity market nuances and/or complex analytics approaches and results in layman&rsquo;s terms to executive audiences across commodity trading, operations, supply chain / logistics, and finance / accounting functions is required</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Senior Data Scientist - Commodity Trading and Risk Management

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