Junior (Linked) Data Specialist (EN)

Working at Wistor / BIM-Connected means working for a growing, exciting, energetic, and pioneering company. We work professionally and independently to provide our customers with the best possible service. We work on challenging digitization projects for large public and private customers in the construction, infrastructure, and energy sectors. Our expertise helps them improve their business processes and work more on the basis of factual data. We help structure data and thereby work more efficiently. We make data valuable so that the customer always has the right information at their disposal. In doing so, we follow a data-centric philosophy. Data first. The application follows.

Wistor is our platform that supports this philosophy. It is a scalable, flexible, and modular platform that is configured on top of datasets recorded in open data standards. Data (from multiple sources) is harmonized, visualized, and analyzed. Linked data is the engine and backbone of the Wistor platform. It is the technology used to set up information models and create links between 2D and 3D data, among other things.

Job Description We are looking for:

An enthusiastic colleague (junior/medior) who has a keen interest in and affinity with information technology. Specifically, you have knowledge of and belief in data-centric working. You love innovation and like to be at the forefront with specific knowledge in order to advise customers as effectively as possible. You have knowledge of data models, programming and/or modeling languages, enabling you to communicate with multiple roles such as a data specialist and software developer. In addition, your experience has given you the knowledge and skills to convince (potential) clients of the benefits of open (data) standards. You are also assertive and can handle freedom and flexibility well, because that's what you'll get!

This is what you will be doing:

Exciting and challenging projects focused on digitization and Linked Data technology. You will be working with your colleagues in the digitization/innovation department of a large-scale company, where you will help to better structure, analyze, and use information, mostly about built objects. Or you will be part of an internal project team, ensuring that the Wistor platform is configured optimally to meet customer needs. And even exceed their expectations! You will talk to multiple roles to carry out the project as desired and create support among the end users. Think of project leaders and data architects, but also skilled specialists. Your knowledge and advice will be greatly appreciated given the high degree of innovation/renewal. This makes your work diverse and, above all, challenging!

Your working environment:

Our home base is located in the Strijp-S district of Eindhoven. A place where innovative companies are located in old renovated factory buildings. Our office has an informal atmosphere where colleagues work together as a close-knit team. The office is easily accessible by both car and public transport. We would like to see you at our office at least one day a week (Fridays). The other days, you are free to work wherever you like, in consultation with any clients, of course. How we do our work is more important than where we do it.

Your profile

Do you have...

•         a HBO or WO degree/background;

•         the knowledge to explain the added value of open data standards;

•         (basic) knowledge of Linked Data (RDF, OWL, SHACL, SPARQL);

•         an understanding of the difference between application, information model, and instance data.

And are you also energetic and ambitious in your work?

Cool, come in for an interview!

Our offer

Hard work is well rewarded. That's why we offer you:

•         A gross monthly salary of up to €4,500*. Further growth possible.

•         Profit sharing.

•         An annual training budget of €2,000.

•         A contract for a minimum of 32 hours per week.

•         30 vacation days*, plus the option to purchase 10 additional days.

•         Laptop, phone, ergonomic office chair: everything you need to do your job.

•         A public transportation business card or travel allowance.

•         4 hours per week* to spend on your own development and/or innovation projects.

•         Lunch, snacks, coffee... because you can't work on an empty stomach.

* based on a 40-hour working week

Your reaction So, are you excited?

Feel free to contact us with any questions, to have a coffee, or to apply for a job. Send a message to Koen Timmersmans - work@bim-connected.com

Heb jij een studie (technische) informatica, data science of AI afgerond en ben je op zoek naar je eerste baan? Ben jij een communicatieve data engineer die enthousiast wordt van het opzetten van Azure pipelines, Databricks en het Spark clusters? En heb jij zin om met een leuk jong team, onder begeleiding van een ervaren data engineer aan de slag te gaan bij aansprekende klanten? Denk aan Heineken, Unilever, ING, Tata Steel, etc. Dan zijn wij op zoek naar jou!

Wat je al kan

Je hebt je WO-studie (technische) informatica, data science, AI of vergelijkbaar afgerond Je hebt enige kennis van cloud solutions, met name Azure Als je al enige aantoonbare ervaring hebt met Azure of AWS is dat een grote pré Je bent communicatief vaardig Je spreekt vloeiend Nederlands

Wat je (nog beter) gaat leren

Je gaat aan de slag met de laatste technieken op het gebied van cloud solutions Je wordt een topper op het gebied van data verzamelen, datastromen inrichten, en monitoring zo eenvoudig mogelijk maken Je gaat visualisaties op data van zowel ons als van onze klanten maken Je gaat bij aansprekende klanten mooie oplossingen neerzetten

Wat je gaat krijgen

Je krijgt een competitief salaris Je krijgt een aansprekende opdrachtgever bij jou in de buurt (max. 1 uur reistijd) Je krijgt een goede laptop met een fijn extern beeldscherm, toetsenbord, etc voor als je thuis moet/mag/kan werken Indien nodig, krijg je een leaseauto Je krijgt een omgeving waar leren centraal staat

Wie je gaat krijgen

Je komt terecht in een kleine, gezellige club enthousiaste data scientists en data engineers Je krijgt collega’s die ook genieten van leuke uitjes buiten werk Je mag naar een kantoor met een tafelvoetbaltafel, gezellige lunches en vrijdagmiddagborrels, maar ook thuiswerken is altijd een optie

Ben je enthousiast over deze vacature? Neem contact op met Rowel Gündlach (rowel.gundlach@d-data.nl) of solliciteer direct!

Heb jij een studie (technische) informatica, wiskunde, econometrie afgerond en ben je op zoek naar je eerste baan, of heb je al enige ervaring als data scientist? Heb jij zin om met een leuk jong team, onder begeleiding van een ervaren data scientist aan de slag te gaan bij aansprekende klanten? Denk aan Heineken, Unilever, ING, Tata Steel, etc. Dan zijn wij op zoek naar jou!

Wat je al kan

Je hebt je WO-studie (technische) informatica, wiskunde, econometrie of vergelijkbaar afgerond Je bent sterk in wiskunde Je hebt enige ervaring met Python Je bent communicatief vaardig Je spreekt vloeiend Nederlands

Wat je gaat leren

Je gaat klantvraagstukken vertalen naar modellen Je wordt een topper in Python-code Je visualiseert data om de eerste patronen in de data te herkennen Je maakt robuuste modellen met behulp van machine learning Je zet modellen live en richt automatische monitoring in

Wat je gaat krijgen

Je krijgt een competitief salaris Je krijgt een opdrachtgever bij jou in de buurt (max. 1 uur reistijd) Je krijgt een goede laptop met een fijn extern beeldscherm, toetsenbord, etc voor als je thuis moet/mag/kan werken Indien nodig, krijg je een leaseauto

Wie je gaat krijgen

Je komt terecht in een kleine, gezellige club enthousiaste data scientists en data engineers Je krijgt collega’s die ook genieten van leuke uitjes buiten werk Je mag naar een kantoor met een tafelvoetbaltafel, gezellige lunches en vrijdagmiddagborrels, maar ook thuiswerken is altijd een optie

Ben je enthousiast over deze vacature? Neem contact op met Rowel Gündlach (rowel.gundlach@d-data.nl) of solliciteer direct!

As a Graduate Software Engineer, your work is mission-critical at our firm. You will work on solutions that enable us to react to markets at lightning-fast speeds. Your work will be the magic behind the scenes, enabling our teams to make split-second decisions with precision and confidence. By working in an interdisciplinary manner and innovating and optimising code, you will keep our firm competitive in the ever-evolving capital markets.

What you’ll do

Your onboarding

You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

As a Graduate Software Engineer, you will work closely with best-in-class traders, researchers, risk analysts and other engineers to develop simple, well-architected solutions that meet the needs of our business. No one day is ever the same. You will gain and develop in-depth knowledge of engineering for the capital markets. Our collective passion to solve problems makes a direct impact on our business.

What you’ll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool The opportunity to work alongside best-in-class professionals from over 40 different countries 25 paid vacation days and fully paid first-class commuting expenses Training opportunities and discounts on health insurance Extensive office perks, including breakfast and lunch, world-class barista coffee, sport and leisure activities, Friday afternoon drinks, and weekly in-house chair massages Competitive relocation packages and visa sponsorship where necessary for expats

Who you are

Bachelor’s, Master’s or PhD degree in Computer Science, Computer Engineering or equivalent, with outstanding academic achievements Graduating by 2026, or a maximum of 3 years work experience Passionate about clean code, simple, well-architected systems, and continuous improvement Proficient in industry-standard coding languages such as C++, Python, or Java, with a strong understanding of underlying computer architecture and system operations A solid grasp of algorithms, memory and concurrency models, CPU-architecture, operating systems and relational databases Have an entrepreneurial attitude and an interest in the financial industry An analytical mindset and strong problem-solving skills Able to work closely with other engineers, traders, and business operations

HOW TO APPLY:

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe?

Apply directly via the form below for the position of Graduate Software Engineer. Please provide us with a CV and letter of motivation in English. Unfortunately we cannot accept applications via email for data protection reasons. 

If your application is selected to proceed to the next round, you will be required to complete online assessments. By submitting your application you are confirming that you will be able to take the assessment within 7 days.

Kindly note that we do not require any assistance from third-parties including agencies in the recruitment of this role. If you have any questions feel free to contact our Recruitment team via the contact form.

Diversity statement

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting “Reasonable Adjustments” as the subject of your inquiry.

For answers to some of our most frequently asked questions, refer to our Campus FAQs.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

Software Engineer (Early Talent) at Nebius

Amsterdam, Netherlands

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Summary:

Location: Amsterdam Duration: 3 months Start date: June 2026  Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job’s location

The role

You’ll work alongside experienced engineers, learn how high-performance backend systems are designed and operated and contribute code that runs in real environments used by customers worldwide. You’ll get hands-on experience with modern backend technologies, scalable architectures and engineering best practices in a team that works at the cutting edge of AI cloud infrastructure.

We expect you to have:

Knowledge of at least one programming language (Go, Java, Python or С++). Understanding of basic algorithms and data structures. Strong motivation to learn, grow and develop as a backend engineer. Willingness to work with complex systems and ask questions.

What we offer:

Competitive salary and comprehensive benefits package. Mentorship from experienced AI, ML, and cloud infrastructure professionals. Hands-on experience with real customer workloads and production systems. Opportunities for professional growth within Nebius. A dynamic and collaborative work environment that values initiative and innovation. Opportunity to be considered for a full-time role after the Early Talent Program.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Apply here - https://nebius.com/early-talent-program/swe-ml?gh_jid=4763886101

Who are we

WEBB Traders is a fast-growing, global proprietary trading company, driven by data and technology. We act as a market maker, using our own capital to trade on global stock and derivatives exchanges. By leveraging a large network of interdealer brokers and the latest advancements in electronic trading technology, we add liquidity to the financial markets specialised in cash equity and derivatives.

Since our very first trade in 2009, WEBB’s headquarters have been based in Amsterdam, nowadays supported by a strong presence in Paris. With our 70 employees of over 25 different nationalities, we are united in our great ambition to grow WEBB into a global leader in arbitrage and liquidity.

Join us to accelerate your career in the unique trading culture of openness, community, enjoyment, and boundary-free entrepreneurship.

Ready to take the first or next step toward your data engineering career? 

WEBB Traders is looking for a Master’s graduate to join our Control Department as a data engineer, with a focus on finance. You’ll play a key role in elevating our finance functions while transforming how we use data to drive financial insights and decision-making. 

Apply now and seize this unique opportunity to turn data into impact!

Your role

Build data processing pipelines to automate processes and build dashboards Support trading, finance and our management team in making better decisions Visualise key finance indicators for management and regulators.   Monitor continuous improvements and send automated alerts to e.g. trading, finance and our management team. 

Requirements

Who are you?

You are a Master’s graduate in computer science, with 0-3 years of working experience. You have strong analytical skills. You have a strong interest in equities, derivatives, commodities, algorithmic trading, high frequency trading, market making, IT and risk management. You are eager to drive change in a fast-paced environment. Your mindset is on innovation and continuous improvement. Your personality is characterised as down-to-earth, steadfast, firm, and your integrity is beyond reproach. You have a compelling communication style and enjoy working closely with various stakeholders (traders, engineers, management board, clearing members). You show ownership to drive key firm-wide finance projects from initiation to production. You have strong Python and SQL skills. You are fluent in English, both spoken and written.

What we offer

Challenge yourself. Be part of the dynamic work environment and grow along with us. Team up. A great office vibe in the heart of Amsterdam Keep the spirit up. Fun activities with your teammates on a regular basis and Friday drinks Treat yourself. Enjoy subsidized healthy and delicious meals delivered by Alma Sustainable Catering Stay fit. Sports facility access via ClassPass It’s on us. Travel costs reimbursement if you don’t own a student public transport card And finally… an attractive compensation package!

Application process

Apply on our WEBBsite! Share a short motivation for joining WEBB and why you think you are a great fit for this role Have a video chat with us (unless you are around, you may drop by for a coffee)   Nail the technical challenge    Visit our office for the interviews and a drink   Accept our offer!

Link to company website: WEBB Traders

Link to vacancy: WEBB Traders

Contact recruiter: recruitment@webbtraders.com

Zit jij in de afrondende fase van je universitaire master Data Science & Entrepreneurship of Data Science & Artificial Intelligence (of vergelijkbaar) en ben je op zoek naar een scriptiestage? Vind jij het leuk om mee te kijken in de keuken van een jong bedrijf? Wil jij je studie afronden met het modelleren van beurskoersen, voetbalwedstrijden of je vol storten op een Kaggle uitdaging? Dan zijn wij op zoek naar jou!

Wat je al kan

Je zit in de laatste fase van je universitaire master Computer Science, Wiskunde, Data Science of vergelijkbaar Je bent sterk in wiskunde Je hebt ervaring met programmeren (Python is een plus) Je bent communicatief vaardig Je spreekt vloeiend Nederlands

Wat je gaat leren

Je doet je eigen onderzoek Je wordt een Python-topper Je maakt visualisaties om de eerste patronen in de data te herkennen Je legt de link tussen theorie en praktijk Je rondt een project van flinke omvang van A tot Z af, ondersteund door een data scientist van ons

Wat je gaat krijgen

Je krijgt een stagevergoeding Je krijgt een goede laptop Je krijgt persoonlijke begeleiding gedurende de hele rit Je kiest één van onze favoriete onderwerpen, of (in overleg) je eigen onderwerp Je mag meekijken binnen een jong bedrijf Je mag hybride werken

Wie je gaat krijgen

Je wordt gemotiveerd door een kleine club enthousiaste data scientists Je krijgt jonge collega’s die ook genieten van leuke uitjes buiten werk Je krijg een mooie werkplek  in ons nieuwe kantoor, waar je zelfs aan je tafelvoetbalskills kunt werken

Ben je enthousiast over deze vacature of zit je nu vol met vragen? Neem contact op met Rowel Gündlach (rowel.gundlach@d-data.nl) of check de vacature op onze website.

Site Reliability Engineer (SRE) AI Infrastructure (Early Career) at Nebius

Amsterdam, Netherlands

Summary:

Location: Amsterdam Duration: 3 months Start date: June 2026  Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job’s location

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400+ employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Your responsibilities will include

Operation: assist, where possible in day-to-day SRE operations tasks in NetInfra deploy tested and approved changes following clear instructions Project work: execute small and well-defined tasks from the backlog together or instead: work on small and well-defined SRE project from backlog create tests for their changes/project (if applicable) write technical documentation about their work track and update Jira tasks according to their progress Learning and growth: actively study network and system fundamentals: Ethernet and ip networks, routing, Linux Kernel, eBPF, traffic control, ipvs, dpdk learn internal tools, workflows and operational standards learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform learn configuration management and automation basics

What we expect you to have

demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software programming experience in any of Python, Go or C++ basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals) familiarity with Git basic understanding of containers, Kubernetes and IAC (Infra As Code) approach

What we offer

Competitive salary and comprehensive benefits package Mentorship from experienced AI, ML, and cloud infrastructure professionals Hands-on experience with real customer workloads and production systems Opportunities for professional growth within Nebius A dynamic and collaborative work environment that values initiative and innovation Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Apply here - https://nebius.com/early-talent-program/infra?gh_jid=4767983101

All job vacancies can be found on their website here!

Background:

To investigate the resilience of the autonomous nerve system (ANS) a resilience experiment, with five different stages (mental, hand grip, supine, standing, and walking), was executed in the third-generation participants of the Framingham Heart Study (around 1300 participants). Several vital signs of the heart (systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, and respiratory rate) were continuously observed throughout the experiment (25–30 minutes of monitoring). The experiment is visualized in the following figure.


Data Analytic Questions:

This type of data is not easy to analyze due to the large number of repeats and its high correlation among sequential data points. One example of the data that is generated is provided in the figure below.


Each person will have their own vital sign profile and all participants react differently to the different stages. Additionally, we have already information on sex and age on each participant, but we are currently trying to add other information (e.g., BMI, smoking, hypertension, past heart problems, treatments) from the participants. 

For the master thesis project, we are trying to answer several data analytical questions:

·        Can we describe the longitudinal vital sign signals properly (functional data analysis, time-series analysis, longitudinal smoothing) and find clusters of participants?

·        Can we define important features calculated per stage and rest period (e.g., average, variation, delta response, autocorrelation, time at maximum response) that summarize the most relevant information in the trajectories?

·        Can we determine the association between certain participant characteristic (age, sex, smoking, etc.) and the vital sign profiles (using the profiles or the features).

Together with the Department of Biomedical Engineering (Computational  Biology), I am offering a Master's project that can be started in  January or later.

Suppose we are given a set of patients and for each patient the same  medical measurements have been made (measuring bio transmitters etc).  The goal of computational biology is to inspect the measurements and to  detect rules between different transmitters that explain in which  situations the human body produces certain proteins (which might be  relevant in cancer diagnosis). Having such rules, one can develop  medical treatments that prevent the body to produce these proteins. To  be able to develop effective medical treatments, one is looking for  simple rules between different bio transmitters e.g., transmitters 1 and 2 are active and transmitter 3 is inactive.

The goal of this Master's project is to develop and implement integer  programming techniques that allow to find rules between different bio  transmitters. Among others, we expect that techniques such as column  generation and branch-and-price can be useful to achieve the desired  goal. Since implementation is an important aspect of this project, good  programming skills in Python and/or C/C++ are required.

Are you interested in this project or do you want to know more about it,  please contact Christopher Hojny (c.hojny@tue.nl).

Game developer for a mobile habit formation game

Kickstart your career with UiPath!

We're looking for a Product Manager to help us develop our Process Mining product. You'll be working in our Eindhoven team to make an awesome product together. Collaborate with a diverse group of stakeholders to gather insights and use those drive the engineering effort in the right direction.

Don't meet all the criteria? Your passion and enthusiasm could make up for it. Join us at UiPath to transform the world of automation and carve out your place in tech.

Interested? Check out the full job description: https://www.uipath.com/careers/jobs?ashby_jid=cd7bf39c-b464-4881-8d24-9e38b01bdeb6

If you enjoy mathematical challenges and writing computer programs, you could be instrumental in the success of Optiver's dynamic trading floor as our next Graduate Quantitative Researcher. With your statistics knowledge and top-tier analytical abilities, you’ll create the insights that drive our trading strategies. Get ready to collaborate with world-class Traders and Software Engineers from more than 50 countries to improve financial markets across the globe. This is your chance to get involved and see how valuable research and data are to the future of electronic trading.

WHAT YOU’LL DO:

Quantitative Research acts as the foundation upon which Optiver’s trading activities are built. Our research teams – experts in a variety of STEM subjects – utilise a scientific approach to research and design our world-class trading algorithms. This means applying and developing state-of-the-art stochastic models to price options and predict market volatility, as well as utilising Monte Carlo methods. It also means developing statistical arbitrage strategies by working with petabytes of low latency, high-frequency market data sets, an extensive high-powered computing back-testing framework and much more.

Optiver Researchers believe in academic discourse, and therefore invite their teammates and Traders to challenge each hypothesis. Constant testing, analysis, refinement and innovation ensures our quantitative models remain at the cutting-edge of constantly evolving capital markets – you will play a key role in keeping us there.

WHO YOU ARE:

We're looking for aspiring Quantitative Researchers who are versatile and creative in innovating and suggesting new solutions. In return, we'll give you the freedom to pursue your ideas and implement them right into our production systems. 

In terms of skills and qualifications, we're looking for:

An academic degree in Engineering, Physics, Maths, Econometrics, Computer science or equivalent, with outstanding academic achievements Programming experience in any language (preferably Python, but C, C++, Basic, JAVA, etc. are also a plus) Ability to apply concepts of probability, calculus and linear algebra Competitive attitude and eagerness to constantly improve Ability to learn quickly Excellent verbal and written English language skills

WHAT YOU’LL GET:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talent colleagues, working collaboratively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool The opportunity to work alongside best-in-class professionals from over 50 countries 25 paid vacation days in your first year, increasing to 30 from your second year onwards Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses Extensive office perks, including breakfast, lunch and dinner, world-class barista, in-house physio and chair massages, organised sports and leisure activities, and Friday afternoon drinks Training and continuous learning opportunities, including access to conferences and tech events Competitive relocation packages and visa sponsorship where necessary for expats

HOW TO APPLY:

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe?

Apply directly via the form below for the position of Graduate Quantitative Researcher. Please provide us with a CV in English.  Unfortunately we cannot accept applications via email for data protection reasons. 

If your application is selected to proceed to the next round, you will be required to complete online assessments. By submitting your application you are confirming that you will be able to take the assessment within 7 days.

Kindly note that we do not require any assistance from third-parties including agencies in the recruitment of this role. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Diversity statement

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting “Reasonable Adjustments” as the subject of your inquiry

For answers to some of our most frequently asked questions, refer to our Campus FAQs.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

In a nutshell

At Picnic, we use React Native to provide an innovative service to our customers through our mobile app. Quality is our top priority, so we use TypeScript in our server-driven UI framework as well as our frontend code. 

In this role, in addition to working with React Native daily you'll be working with our powerful server-driven UI framework that's at the heart of our business's success:

Powers our entire shopping app and enables rapid iterations Drives sophisticated personalization at scale, delivering tailored content to each user Empowers our business teams to operate the store autonomously - dozens of operators and analysts make every day real-time updates without any further tech involvement

You can expect to work with a wide range of technologies within the JavaScript ecosystem, across the full stack! 

Tricks of the trade Growth: Learn to collaborate with cross-functional teams across the entire business, get to work on increasingly challenging tasks and projects, and have ownership over your contributions Contribution: Work on our customer facing Picnic store, implementing new features on a daily basis, contribute to our React Native architecture and server-driven UI framework Collaboration: Collaborate with designers and product owners to create specifications for new features  Our Tech: TypeScript and RxJS, React Native, Redux, Styled Components, Jest, Storybook We’re looking for You have (or will soon have) a Bachelor’s or Master’s Degree in Computer Science, or related technical field or equivalent combination of education and experience 2+ years of full-time software development, and have worked with React, React Native, Typescript, or similar JavaScript frameworks Enthusiasm to work with a variety of technologies and a problem-solving mindset Hands-on experience with (unit) testing Experience working in a product-based company is a nice to have The willingness and flexibility to take feedback and learn from other developers Picnic Perks

✍🏼Every expert was once a beginner!

You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses.

💡Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🫱🏼‍🫲🏾Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

🍎You are what you eat

You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered.

🚴🏽Stay healthy

Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. 

There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing! 

🔋Attractive package

We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries 

🌍Benefits for expats

It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, if you want to find our relocation benefits, see here.

A bit about us

When you join Picnic, you’re joining the shopping revolution, delivering groceries to millions of people across Europe, and we’re growing fast. Think super fresh products and personal service, but in a modern, sustainable way. The tech team at Picnic is at the core of Picnic. From deep learning models to forecast orders to delivery algorithms to warehouse logistics: we’ve built it all from the ground up. You’ll thrive here if you’re a problem solver with a pro-active mindset who’s not afraid to be challenged daily.