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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.
Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.
This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.
This role is part of our Experience & Engineering team based in the Netherlands. We combine our skills in developing future-ready technical solutions with our expertise in creating beautiful designs to deliver exceptional and engaging digital experiences that build lasting relationships with our clients like Gant, Inter Milan, bol.com and Just Eat Takeaway.
JOB PURPOSE
Looking to kick off your engineering career as a data engineer?
During this internship, you’ll join our talent program designed to shape you into a productive data engineer, capable of working in a multidisciplinary team. We’ll share all the knowledge we have and provide you with the attention, feedback, challenges and support you need to grow into a standout professional.
In short, our goal is to help you reach your full potential.
A data engineer is the engineer who makes data useful. One moment you’re building pipelines that move and transform data from multiple systems, the next you’re modeling datasets that enable analytics, automation and smarter decision making.
You’ll help create the foundations that power digital products, customer insights and AI-driven solutions.
From day one, you’ll be paired with a dedicated mentor for 1-on-1 coaching and join a team of passionate engineers always ready to help. You’ll work on real client projects, gaining hands-on experience with modern data platforms and solving real business problems.
By the end of your internship, you’ll have built practical experience in modern data engineering and contributed to projects for A-list clients.
Take it from us, your resume will be more than ready for a future in the digital industry.
Please note: to be eligible for this internship, you are required to be living and studying in the Netherlands.
KEY RESPONSIBILITIES
WHAT WE ARE LOOKING FOR
Experience or interest in some of these is a plus:
WE OFFER
WHY DEPT®?
We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.
We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.
At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.
DIVERSITY, EQUITY & INCLUSION
At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.
Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.
We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.
Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.
Ready to apply?
Apply to DEPT®At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that's about to change completely.
We've been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving—with our team of experts in the loop where it counts. The early results have been jaw-dropping. We're now going all in on a future where supply chains run themselves, and we're looking for the people who want to build that future with us.
This isn't a role where you join a team and pick up tickets. You'll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.
You'll build the cutting-edge agents and AI-powered applications that make Flexport's operations smarter, faster, and increasingly autonomous. That means:
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
Ready to apply?
Apply to Flexport
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
Develop engineering expertise within Snowflake for data engineering and security/governance features
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
Build & maintain data quality metrics & observability to help drive data quality standards
Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
Troubleshoot data pipelines, platform automations, data access system.
Help field and troubleshoot various community questions and challenges
Own, maintain and enhance data operation processes, monitoring & data quality systems
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with bringing ideas for platform and process improvements
Help contribute to the ongoing documentation of internal systems and processes
2+ years of relevant experience in Data Engineering / Data Platform Engineering
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake a plus
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Experience in building data models
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.
You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client-facing role.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:
Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
Be an expert level engineer within Snowflake for data engineering and security/governance features
Build & maintain python & SQL based platform automation process
Build & maintain data quality metrics & observability to help drive data quality standards
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
Build & maintain DataOps process for SDLC delivery
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.
Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices.
3+ years of relevant experience in Data Engineering / Data Platform Engineering
Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake strongly desired
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Strong understanding of data architecture & data modeling concepts
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
At OpenUp, our mission is to make mental well-being accessible to everyone. Following a ‘high tech & high touch’ approach, we support companies, their employees, and their families with proactive and practical mental health services. Through our digital platform, clients can access 1:1 check-ins, online courses, articles, videos, group sessions, mindfulness practices, and a team of committed mental well-being experts. As we believe that mental and physical well-being are deeply connected, we have also added Lifestyle Experts to our offering, focusing on nutrition, exercise, and sleep. We offer a truly holistic approach that helps people take ownership of their health. We’re proud to work with forward-thinking organizations and are committed to raising the bar on accessible care.
OpenUp was ranked in the Top 3 on LinkedIn’s Top Startups list for 2023, 2024 & 2025 and is continuously growing. We are expanding our international teams and we are searching for like-minded talent. We are already serving 2000+ companies (e.g. Rituals, Deloitte, Decathlon, KPMG, and McDonalds), through which 600K+ employees have access to our product.
You own the HR and company experience as a strategic surface. You drive activation from contract to first employee value. You prove ROI so renewals are a formality. You expand revenue by designing the services, playbooks, and value propositions that make HR successful and willing to pay more.
Your scope covers three of OpenUp's growth pillars: boosting signups to OpenUp within companies, driving renewals through measurable HR value and proven ROI, and expanding average revenue per employee (ARPE) through new services and tiered packaging.
Responsibilities
Joining OpenUp means being part of a fast-growing company that's doing something meaningful. You'll work with a diverse and international team. We like to have fun together with a lot of team building activities like our weekly ‘borrels’ and after work sport classes, the yearly ski-trip and our Padel tournament. Which makes our work fun, challenging and dynamic. Apart from this, we offer:
Excited about this role at OpenUp? We love to learn more about you. Send us your application through our website and we will be in touch with you soon.
At OpenUp, everyone is welcome to apply - regardless of color, age, gender, nationality or any other label. We embrace what makes you unique and we believe that a diverse team is crucial to success. If you are ready to OpenUp, join us!
We may use artificial intelligence (AI) tools to streamline parts of our recruitment process. These tools assist our recruitment team but do not replace human judgement. All hiring decisions are made by humans. If you would like more information about how we use AI in the process, please contact us.
Ready to apply?
Apply to OpenUp
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
What to know about the Dataiku Support Team
At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function.
How you’ll make an impact
We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.
Some expected outcomes for this role
Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels
Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement
Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution
Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise
Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment
What you’ll need to be successful
At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with Docker and Kubernetes
Collaborative and helpful mindset with a focus on always working as a team
A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors
Proficiency working with Unix-based operating systems
Experience with relational databases (or data warehouses like Snowflake) and SQL
Ability to read and write Python or R code
What will make you stand out
Experience with big data technologies, such as Hadoop or Spark
Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos
Experience with ML models and LLMs
What does the hiring process look like? #LI-Remote #LI-AN1
Initial call with a member of our Technical Recruiting team
Video call with the Technical Support Manager
Technical Assessment to show your skills (Home Test)
A technical interview with the TSE team to build on the assessment you completed
Final Interview with the VP Technical Support
Ready to apply?
Apply to Dataiku
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We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.
With a diverse team of 350+ people across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide.
AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.
We’re hiring a Senior Python Engineer to join our Data Product Team and help power the analytics behind Manychat’s growth.
You’ll work on a high-load, near real-time platform that transforms large volumes of platform data into personalized insights seen by millions of users. The features you build will directly impact activation, retention, and revenue.
As part of a small, high-impact team, you'll own the data platform end to end, including data warehouse and ManyChat platform integrations, high-load APIs, and data aggregation pipelines. You’ll help scale performance, evolve our architecture, and influence Python engineering standards across the company.
If you care about building scalable systems, working close to the product, and seeing measurable business impact from your code, this role is for you.
We care deeply about your growth, well-being, and comfort:
Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.
With my application, I accept the Manychat Privacy Policy.
Ready to apply?
Apply to Manychat
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