software engineer - ads g&t data Jobs in Amsterdam

software engineer - ads g&t data

partner growth manager / gtm Jobs in Amsterdam

partner growth manager / gtm

founding api gtm

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><b><br>
Job Description</b><p><br>
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.</p><p>
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:</p><ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p></p><p><br>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Consultant Data Engineer

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

McKinsey & Company

<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

Explore 3+ Founding api gtm in Amsterdam this July. Find roles across top companies and apply now to boost your career.

3 founding api gtm jobs In Amsterdam

Consultant Data Engineer

Technical Writer-Editor

Senior Data Scientist - Commodity Trading and Risk Management