What will be your responsibilities within IBKR:

Technical Excellence

• Design, optimize, and extend transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability
• Navigate seamlessly between strategic, system-level architecture and function-level implementation details of our surveillance system, which orchestrates 150+ processes
• Optimize data architectures and databases for maximum performance and reliability
• Build developer tooling to accelerate development workflows and system monitoring
• Ensure data accuracy, security, and compliance with regulatory standards 

Ownership and Cross-Functional Partnership

• Take ownership of projects and sub-systems from planning through resolution, making impactful decisions on complex technical and business-related questions
• Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable designs and processes
• Identify project bottlenecks, risks, and limitations; calculate costs; and provide strategic insights to stakeholders
• Transform high-level surveillance concepts into production-ready processes that deliver actionable insights

Data Architecture & Stewardship

• Own and curate dozens of mission-critical datasets that drive surveillance operations
• Design, build, and automate robust data pipelines to support real-time and batch processing
• Develop advanced data quality frameworks to proactively identify issues before they impact operations

Innovation & Optimization

• Contribute to the evolution of coding standards and internal code review processes
• Drive best practices in data storage, retrieval, governance, and privacy protection
• Drive automation of processes and workflows to reduce manual effort and enhance system maintainability

 Which skills are required:

• 5+ years of professional software engineering experience in Python, C++ or Java
• 3+ years of professional experience in Python as a primary language (non-scripting)
• Extensive experience in Pandas or NumPy, Polars is nice to have
• 1-3 years of professional experience with Linux operating systems
• Thorough understanding of databases and SQL
• Experience with large Python codebases
• Bachelor's or master's degree in Computer Science, or a related area
• High attention to detail

Good to Have:

• Experience with data engineering or ETL pipelines
• Knowledge of finance
• Knowledge of C++ or Java
• Masters/PhD

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Company Benefits & Perks

At Cision, we build software that supports large-scale, global enterprise infrastructure. Our teams enable platform, operations, and engineering groups with tools that improve visibility, reliability, automation, and decision-making across complex systems.
We are seeking a Staff Full Stack Software Engineer to lead the design and delivery of internal platforms used by enterprise infrastructure teams. This is a senior individual contributor role for an engineer who thrives in ambiguity, works independently, and owns systems end-to-end—from architecture through production operations.
You will operate as a technical leader within the team, influencing design decisions, setting engineering standards, and delivering high-impact solutions across backend services, data pipelines, and user-facing applications.

What You’ll Do
• Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
• Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
• Develop backend services and APIs for data collection, enrichment, and querying.
• Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users.
• Design and implement ETL and data processing pipelines for structured and semi-structured data sources.
• Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models.
• Act as a technical authority on system design, performance, reliability, and maintainability.
• Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions aligned with long-term platform strategy.
• Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness.
• Review designs and code across the team, providing clear guidance and raising the overall technical bar.
• Identify systemic issues, reduce technical debt, and proactively improve platform scalability and developer experience.

What You’ll Bring
• Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems.
• Proven ability to operate independently in ambiguous problem spaces and drive solutions to completion.
• Strong backend engineering experience, including API design and data-intensive services.
• Experience building data-driven applications involving ingestion, transformation, and analysis.
• Proficiency in one or more backend languages such as C#, Python, Go, or Java.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with Docker and containerized application delivery.
• Solid understanding of distributed systems fundamentals and cloud-native application design.
• Experience working with CI/CD pipelines and modern software development workflows.
• Excellent technical judgment, communication skills, and ability to influence without authority.

Preferred Experience
• Experience designing and operating systems on Kubernetes.
• Familiarity with PostgreSQL, MySQL, or similar databases.
• Experience with ETL pipelines, analytics platforms, or operational data tooling.
• Exposure to cloud platforms such as GCP or AWS.
• Background building internal platforms or tools for infrastructure, SRE, DevOps, or platform engineering teams.
• Understanding of observability, cost optimization, reliability engineering, or infrastructure automation.
Education & Experience
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Typically 10+ years of professional software engineering experience, with demonstrated ownership of large or critical systems.

We are looking for an experienced Corporate Infrastructure Engineer who will be focused on Wolt and Doordash´s IT Infrastructure. This role will build and scale our systems to support a fully automated infrastructure by leveraging various technologies. You will work closely with several teams here at DoorDash including (but not limited to): Security, IT, Network Engineering and Enterprise Systems.

Our ideal candidate for this position will have the ability to identify problems and offer resolutions in a timely manner. You will be responsible for the design, development and implementation of corporate IT systems. You will report into the Manager, Infrastructure in our IT organization.

What you’ll be doing

• Run and maintain our corporate infrastructure hosted in AWS
• Maintain and administer infrastructure deployment tools
• Be self motivated to build high quality, scalable systems with cross-functional teams
• Be able to think critically, get into the details and change directions rapidly
• Be able to handle multiple contending priorities and effectively plan your work accordingly
• Navigate existing technologies and quickly learn and adapt to new technologies
• Make recommendations for the improvement and development of IT systems

Our humble expectations*

• You have 4+ years of experience in an Infrastructure Engineering role
• You have demonstrated experience with Python, bash and other scripting fundamentals
• AWS, Azure, Kubernetes, Docker and GCP systems/tools of high familiarity
• You have 2+ years of experience with Infrastructure as a Code tools like Terraform, CloudFormation, Pulumi.
• You have 2+ years of experience working with microservices
• You understand that monitoring/observability is equally important. Experience with but not limited to tools like Prometheus, Grafana, Nagios, Datadog, Splunk.
• You have experience in configuration management and security management
• You are a self starter with attention to detail who understands the value in system monitoring

Next steps

All applications are reviewed by a real human, so please be patient. Qualified candidates will have the opportunity to speak with a member of our recruiting team before moving on to talk with the hiring manager. This is a highly technical role so the next step will be a live scripting/coding interview, followed by chats with members of the team and cross-functional partners.

We are looking to fill this role as quickly as possible, but are committed to finding the right candidate who will be successful in the role

The Senior Software Engineer, People Apps is a key member of the IT-Automations team at Wolt. This role involves working closely with various IT functions and stakeholder organizations within the company to develop and maintain automation solutions that enhance the employee experience. You will be part of a team of highly skilled engineers and developers dedicated to preemptively identifying and addressing the needs of over 10,000+ employees worldwide.

What You’ll Be Doing

• Design, develop, and deploy services and applications related to automated employee lifecycle management.
• Maintain and develop Wolt’s custom-built automation engine and internally directed full-stack applications.
• Collaborate with various stakeholder groups to provide automated solutions that assist in their day-to-day tasks.
• Prepare instructions and documentation for the developed applications.
• Maintain and improve existing codebases.
• Proactively identify and resolve potential needs for our employees.
• Work closely with other IT functions to help maintain a world-class employee experience.

Our Humble Expectations

• Strong technical knowledge of Python, Flask, FastAPI, React, Vue.js, Pytest, and PostgreSQL (and other data storage).
• Strong interest and relevant experience in software engineering and automation.
• Someone who keeps up with automation trends and tries out new technology
• Professional communication skills and fluency in English.
• A quick thinker who rolls up their sleeves and always finds solutions.
• Willingness to travel if needed.

Tech Stack

• Languages & Frameworks: Python, Flask, FastAPI, Vue.js, React.
• Infrastructure & Tools: Kubernetes, Terraform, AWS.
• Testing: Pytest.

We are currently looking for passionate early-career professionals and recent graduates to join our October cohort for an intensive, 6-month training program to become Data Engineering (with Databricks) Consultants.

We don’t expect you to be a Data Engineer on day one, but we do expect you to have the drive to become one. Upon completing the program, you’ll work within our EMEA and US customer teams to help them solve their data engineering, ML, MLOps, GenAI, LLMOps, and cloud migration puzzles.

DATAPAO's Data Engineering Academy is a 6-month intensive training program launching in early October 2026. It is designed to scale you up into a top-notch Data Engineer (with Databricks) Consultant.

The program is put together and run by consultants and technical Instructors who have delivered Databricks projects and enabled data professionals across EMEA for years. This means you will have the opportunity to learn from the world-class consultants and instructors who built DATAPAO's Gold Partner legacy within the Databricks Partner Ecosystem.  

Phase 1 (Month 1-3)

This will be a high-intensity learning phase. You’ll follow a bi-weekly sprint model: one week of deep-dive technical classes, followed by one or two weeks of hands-on project delivery. You’ll master the stack we use for our global clients, specifically Apache Spark and Databricks on AWS/Azure.

Phase 2 (Months 4-6)

During this period, you’ll gradually move into complex capstone projects and also start shadowing our senior consultants on real-life engagements. The phase focuses on building your consulting skills by delivering simulated projects and shadowing real calls to observe how we navigate requirements and advise stakeholders. You will also have the opportunity to contribute to internal strategic projects, eg. building an automatic migration tool. 

Post-Graduation

Once you graduate, you’ll officially join our project teams. Over time, as your seniority grows, you’ll transition into delivering and/or leading complex end-to-end projects across our entire global portfolio.

What does it take to fit the bill?

What do we offer?

The base salary for this position is 900,000 HUF gross/month. Additionally, you will receive a 750,000 HUF gross bonus at the end of each quarter (dependent on program milestones completion) up until your first work anniversary.

We will kick-off the selection process in mid-May for our upcoming October 2026 cohort.

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

At Formlabs, software isn’t a side dish—it’s core to how we design, manufacture, and deliver world-class 3D printing products. Our Dashboard is the nervous system that connects printers, customers, data, and teams. We’re looking for a Senior Full Stack Software Engineer to help own and evolve this platform from the ground up.

This is a high-ownership, high-impact role where you’ll shape architecture, ship meaningful features, and help define best practices as we scale.

The Job:

• Be a foundational engineer for the Dashboard and its backend infrastructure, influencing long-term technical direction.
• Design, build, and scale reliable, high-performance web applications using Python and Django at the core.
• Develop user-facing frontend features (React) and collaborate closely with Marketing and Design to deliver polished, intuitive experiences.
• Own projects end-to-end—from technical design and implementation to rollout and iteration.
• Contribute to architectural decisions, engineering standards, and best practices across the team.
• Balance speed and quality with a pragmatic mindset, always optimizing for long-term maintainability.

What you bring:

• A strong track record of building, shipping, and maintaining production web applications.
• Deep experience with Python/Django and modern frontend frameworks such as React.
• A primary-owner mentality: you take pride in your systems, sweat the details, and see projects through to completion.
• A high bar for code quality—clean, documented, testable, and readable.
• Comfort collaborating across disciplines, especially with Design, Marketing, and Engineering partners.
• The ability to thrive outside your comfort zone, quickly learning new tools and technologies as needed.

Bonus Skills:

• Familiarity with infrastructure and orchestration: Kubernetes, Docker, Go, Kafka, GCP, AWS etc.
• Experience with CI/CD pipelines
• Passion for 3D printing and emerging technologies
• Experience in a fast-growing startup environment

We Offer:

• Hybrid work
• Catered lunch at the office 3 days per week
• Private health insurance with Medicare (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Shares in the company (we're a double unicorn company!)
• Free beverages and snacks at the office
• All You Can Move sports pass with 7000 HUF monthly allowance
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site
• Fun team events
  

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

Here’s a summary of the role:   

You’re ready to work at scale — re‑thinking how data is collected, processed and delivered to our customers end‑to‑end. As a Staff Software Engineer working on a  building up a cutting edge data ecosystem, you’ll shape architectures that power feeds, analytics platforms, reports and dashboards used by customers every day. You’ll explore and apply cloud technologies, distributed systems, AI solutions, influencing technical direction while still getting hands‑on with code. This role is for you if you thrive on data pipelines, APIs, cloud‑native services, scalability, performance, and reliability, enjoy technical leadership, and want your engineering decisions to have visible impact from ingestion to insight. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Set technical direction across teams, driving ai-native and cloud‑native architecture and long‑term system evolution 

• Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost 

• Influence AI adoption through AI first solution desing, model guidance, prompt strategy, and built‑in governance and monitoring 

• Shape roadmaps with Product, Security, and DevOps to deliver compliant, high‑impact solutions 

• Evaluate and pilot emerging technologies to boost developer productivity and platform capability 

• Mentor engineers, raising engineering standards and fostering ethical, AI‑aware practices 

These are the essentials you’ll need to get an interview: 

• Deep background in enterprise software design, implementation, and operation (OOP, commercial environments) 

• Extensive hands‑on experience with cloud native architecture and services, ideally on AWS 

• Strong foundation in data driven systems: data acquisition, processing pipelines, and customer facing reporting 

• Proven experience with delivering AI based customer solutions to production 

• Familiarity with modern data transformation tools such as dbt 

• Proven expertise with SQL and NoSQL databases, alongside APIs and microservices at scale 

• Senior engineer mindset: proactive problem solver, comfortable owning outcomes 

• Leading multiple concurrent projects and ensuring strong collaboration with a wide range of stakeholders 

• Passion for continuous improvement—sharing knowledge, refining processes, and raising the bar across teams 

• Curiosity for new tools and patterns, with a pragmatic approach to adopting what works best 

 It would be great if you had these to, but we’ll support you if you don’t: 

• Experience with TypeScript and Python in production, ideally across data‑ and service‑oriented systems 

• Hands‑on experience with PostgreSQL and strong SQL workflows 

• Exposure to cloud data platforms, especially Snowflake, at scale 

• Comfortable working across the full data lifecycle—from ingestion to analytics and reporting 

#LIHybrid

Realize your potential by joining the leading performance-driven Ad-Tech company!  

As an Senior Business Analyst (Dynamic Ads) on the Dynamic Ads team in our Budapest office, you’ll play a vital role in driving the performance of our customers’ campaigns through data-driven analysis and hands-on optimization.You will turn data into actionable insights, identify opportunities for improvement, and drive measurable impact through a deep analytical and problem-solving approach.You’ll work closely with cross-functional teams to ensure continuous improvement of performance, while applying analytical thinking and experimentation to optimize results.This role is perfect for someone who thrives on problem-solving, analytics, and making a direct impact through data.

To thrive in this role, you'll need:

• 5+ years of technical experience, preferably in digital media or other data-intensive environments
• Hands-on experience with SQL to query and analyze large datasets
• Experience using Python, R, Excel, or BI tools to process and visualize data for actionable insights
• Proficiency in designing and analyzing A/B tests and other experimentation frameworks
• Strong analytical and problem-solving skills, with a proactive, data-driven approach, and ability to collaborate with Product, R&D, and cross-functional teams
• Strong ability to turn numbers into insights, and a proactive approach
• Ability to effectively prioritize and manage tasks within a fast-paced environment
• Fluency in English

Bonus points if you have:

• University degree in a technical area
• Experience in mentoring and leading junior team members
• Ability to work with AI tools for campaign analytics and performance optimization

How you’ll make an impact:

• Monitor the performance of dynamic campaigns and analyze key metrics and performance indicators to identify areas for client improvements
• Proactively identify trends, patterns, and anomalies in campaign data to inform optimization strategies
• Implement optimization techniques to improve campaign performance, including bid adjustments, targeting adjustments, and creative optimizations
• Conduct A/B testing and experimentation to refine campaign elements and improve results
• Generate internal and external reports on campaign performance, highlighting key insights and actionable recommendations
• Collaborate with account managers to align campaign objectives, messaging, and target audiences
• Attend client calls to gain a deeper understanding of their needs and perspectives (POV)

Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Competitive benefits and well-being programs tailored to the region.
  Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

Taboola is the world’s leading recommendation platform with a strong financial background reaching over 500 million daily active users. The company, listed on NASDAQ (ticker: TBLA), had 1.91 billion USD (cca. 650 billion HUF) revenue in 2025. We acquired the Hungarian personalization start-up, Gravity R&D in 2022, to be the basis of our Central European R&D development center, into which we are now seeking candidates for this role.

#LI-DN1

#LI-Hybrid

Realize your potential by joining the leading performance-driven Ad-Tech company!  

As an Senior Business Analyst (Dynamic Ads) on the Dynamic Ads team in our Budapest office, you’ll play a vital role in driving the performance of our customers’ campaigns through data-driven analysis and hands-on optimization.You will turn data into actionable insights, identify opportunities for improvement, and drive measurable impact through a deep analytical and problem-solving approach.You’ll work closely with cross-functional teams to ensure continuous improvement of performance, while applying analytical thinking and experimentation to optimize results.This role is perfect for someone who thrives on problem-solving, analytics, and making a direct impact through data.

To thrive in this role, you'll need:

• 5+ years of technical experience, preferably in digital media or other data-intensive environments
• Hands-on experience with SQL to query and analyze large datasets
• Experience using Python, R, Excel, or BI tools to process and visualize data for actionable insights
• Proficiency in designing and analyzing A/B tests and other experimentation frameworks
• Strong analytical and problem-solving skills, with a proactive, data-driven approach, and ability to collaborate with Product, R&D, and cross-functional teams
• Strong ability to turn numbers into insights, and a proactive approach
• Ability to effectively prioritize and manage tasks within a fast-paced environment
• Fluency in English

Bonus points if you have:

• University degree in a technical area
• Experience in mentoring and leading junior team members
• Ability to work with AI tools for campaign analytics and performance optimization

How you’ll make an impact:

• Monitor the performance of dynamic campaigns and analyze key metrics and performance indicators to identify areas for client improvements
• Proactively identify trends, patterns, and anomalies in campaign data to inform optimization strategies
• Implement optimization techniques to improve campaign performance, including bid adjustments, targeting adjustments, and creative optimizations
• Conduct A/B testing and experimentation to refine campaign elements and improve results
• Generate internal and external reports on campaign performance, highlighting key insights and actionable recommendations
• Collaborate with account managers to align campaign objectives, messaging, and target audiences
• Attend client calls to gain a deeper understanding of their needs and perspectives (POV)

Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Competitive benefits and well-being programs tailored to the region.
  Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

Taboola is the world’s leading recommendation platform with a strong financial background reaching over 500 million daily active users. The company, listed on NASDAQ (ticker: TBLA), had 1.91 billion USD (cca. 650 billion HUF) revenue in 2025. We acquired the Hungarian personalization start-up, Gravity R&D in 2022, to be the basis of our Central European R&D development center, into which we are now seeking candidates for this role.

#LI-DN1

#LI-Hybrid

This role is located in Budapest, Hungary — We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."

About You

• You've built production data models and know how to turn vague business questions into clear, canonical definitions
• You use AI tooling as your primary mode of engineering and have developed a real point of view on how to deliver high-quality datasets when the technical work is done by AI
• You're comfortable engaging with stakeholders to untangle what they actually need and turning that conversation into a structured analytical approach
• You're looking for a role where agentic tools are the default, and where you can help shape how a central data team delivers the reliable signals that operational and strategic decisions depend on.

What Skills Do I Need?

• Bachelor's degree in a quantitative, technical, or business field, or equivalent working experience.
• 4+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership.
• Proficiency with agentic coding tools (e.g., Claude Code, Cursor) as your primary mode of building, testing, and documenting production data models, including shipping reusable assets that improve agentic workflows.
• Experience translating business requirements into structured analytical approaches, running workshops, and aligning stakeholders on canonical metric definitions.
• Strong data modeling skills and the ability to write performant SQL against cloud warehouses, with a strong emphasis on data quality and automated testing.
• SQL and Python proficiency for data modeling, pipeline orchestration, and API integrations using the broader data stack (dbt, Airflow, dlt, etc.).

Nice to Haves

• Experience with semantic modeling tools such as MetricFlow, Cube, or LookML
• Experience with data cataloging and metadata platforms such as DataHub or Atlan
• Familiarity with BI tools such as Tableau, Looker, or Sigma

Key Responsibilities

• Build and maintain data models and pipelines primarily using AI coding tools, with consistent best-practice patterns, clear documentation, and high-quality standards
• Build and improve agentic coding workflows to accelerate data modeling and testing, while staying in the loop on business logic, review, and company-specific edge cases
• Partner with stakeholders to surface conflicting metric definitions, run alignment workshops, and establish canonical standards across domains
• Define and enforce data quality standards across pipelines — including unit tests grounded in sample data and lineage-aware test placement — and enable domain analysts to follow the same standards
• Prototype and iterate on a semantic and context layer that makes Tulip's data accessible to both analysts and AI agents, including the documentation and instructions that let an LLM behave correctly against it
• Help the team make sensible calls about where on the risk curve to deploy AI: lower-risk for internal modeling and testing, more cautious for self-serve BI, and most cautious for anything customer-facing

Key Collaborators

• Commercial Teams
• Marketing Teams
• Product and Engineering Teams
• Operational Leadership
• Data Analytics stakeholders across departments

Working at Tulip

We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered.

We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private Healthcare insurance
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team Lunches in KFT Hub and office snacks
• Learning & Development benefits
• HU Eyeglass Benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.

Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

About the Role

Diligent is the AI leader in GRC solutions, helping organizations around the world turn governance, risk, compliance, audit, and ESG into a competitive advantage. Within HR we're embarking on our own transformation journey to fundamentally redesign how our people experience HR at Diligent.

We're looking for a AI Systems & Data Engineer who can co-own the technical heavy lifting of this transformation. This isn't just configuration work — you'll write Python scripts for complex data conversions, build AI agents and standalone people-facing solutions, architect integrations, design automation workflows, and solve problems we haven't encountered yet.

We need a strong engineer who can figure things out, move fast, and think about the impact on thousands of people, not just data rows—someone who cares about impact, not just technically elegant solutions. You'll have the autonomy to propose ideas, experiment, and own outcomes, while working with experienced HR and technology teams who can provide context and support.

Key Responsibilities

• Play a key role in the data migration workstream from Oracle HCM and Greenhouse to Workday — writing Python scripts for complex data transformations, conducting manual data audits to validate integrity, and building automated validation frameworks.
• Design and build a modern AI-powered automated acceptance testing framework for the Workday implementation — enabling the team to run rigorous, repeatable UAT without manual overhead.
• Design and build scalable workflow automations across the HR tech stack, using Workato and other platforms.
• Build conversational AI agents and standalone AI-powered solutions (e.g. self-service People Experience tools) on DiligentGPT (Glean), Workato, self-hosted, and other platforms — including hosted tools with their own presence beyond a single chat interface.
• Build AI-powered auditing and validation agents to monitor data integrity, flag anomalies, and surface quality issues across HR systems — with AI layer exploration.
• Support implementation and configuration of HR tooling and integrations across the tech stack, ensuring systems are properly connected and maintained.
• Create data visualisations and dashboards that enable HR stakeholders to access insights, make data-driven decisions, and identify opportunities for automation — while also monitoring migration progress and system health.
• Document technical architecture, data flows, and integration patterns to enable future maintenance and support knowledge transfer.
• Troubleshoot and resolve data quality issues, integration failures, and system errors as they arise during implementation and post-go-live.
• Partner with HR Operations, HRIS, and business stakeholders to gather technical requirements and translate business needs into technical solutions.
• Question assumptions, propose better approaches, and advocate for solutions that are technically sound and human-centred.

Required Skills & Experience

• 4+ years of hands-on engineering experience building data pipelines, integrations, or automation systems
• Strong Python skills with experience in complex data transformations and clean, maintainable code
• Experience with APIs (REST, SOAP), JSON, XML and integrating different systems; comfortable with SQL and database concepts
• Experience with automation/integration platforms (e.g. Workato, JSM) and AI agents, chatbots, or LLM-powered applications
• Familiarity with enterprise HRIS platforms (Workday, Oracle HCM) and understanding of HR data structures
• Proven track record of leading technical projects end-to-end with stakeholder management and delivery ownership
• Self-directed and outcome-focused — you figure things out, communicate technical concepts clearly, and care about solving problems

What You'll Gain

• Understanding of how HR transformation works at scale across a global organization.
• Deep hands-on experience with Workday (industry-leading HRIS) implementation and configuration
• AI agent development and LLM integration experience building production tools used by thousands of employees
• Enterprise data migration and integration architecture expertise across complex HR systems
• Automation platform mastery and workflow design skills
• Exposure to the intersection of people, process, technology, and change management while building relationships across HR, IT, Data, and Apps teams
• Portfolio-worthy work: AI agents, data pipelines, and integrations used by 2,500+ employees across 21 countries
• Experience that translates to HR tech consulting, product engineering, or senior IC/leadership roles

This is a one year fixed-term role (possibility to move to permanent) tied to our Workday implementation and AI transformation roadmap. You'll report to the Senior Director of HR AI & Systems Transformation (who is based in London) and work closely with our global team across HR Operations, HRIS, IT, Data, Apps, and transformation project teams.

#LI-Hybrid

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• Collaborate with cross-functional distributed teams.
• Gather, analyze and spec out requirements, and manage product deliverables.
• Design and build scalable AI-driven products addressing real-world problems.
• Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

• Strong programming skills, preferably in Python.
• Exceptional analytical skills and a passion for solving complex problems.
• Thorough understanding of how AI works and familiarity with language models.
• Understanding of vector databases and other relevant data structures.
• Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.)
• Excellent communication skills in English.
• Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture.
• A strong delivery mind-set, drive to get things done.
• Experience in finance is not required.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional Python Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. 
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Proven track record of mentoring junior engineers and fostering a collaborative team environment. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role:

• Participate in the development and maintenance of our large-scale, distributed storage platform.
• Organize the day-to-day work of the team working on the same software component
• Collaborate closely with internal stakeholders to comprehend business requirements, analyze issues, and propose solutions that align with our business goals.
• Provide technical support for platform-related issues, which includes diagnosing the root causes of technical problems and suggesting appropriate solutions.

What You'll Bring:

• 3+ years of development experience with Go or Python (experience with both is a strong plus).
• Hands-on experience working with databases, preferably PostgreSQL.
• Experience building microservice-based solutions and REST APIs.
• Familiarity with build and packaging workflows (e.g. Docker, CI/CD pipelines, common build tools).
• Comfortable working in Unix/Linux environments.
• Strong focus on clean code, testing, and maintainable systems.
• Finance experience is a plus, but not essential.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

About WorldQuant BRAIN:

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more.

What You’ll Bring:

• 2+ years demonstrated experience developing scalable and robust software.
• Passion about software engineering, be strongly driven to build and run real-world applications at scale.
• Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world.
• Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others.
• Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations.
• Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems.
• Experience with Linux environment and shell scripting.
• Excellent debugging and problem solving skills.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and Portfolio Managers, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play
  
What You’ll Bring:

• 2+ years of hands-on experience as a developer
• Background in Computer Science, Engineering, or related discipline 
• Strong computer science fundamentals - algorithms, design patterns, OOP, threading, multiprocessing, etc. - Data Structure and Algorithms are the most important fundamentals in need, etc.
• Clean and Concise coding style
• Demonstrate mastery of any programming language. Python is best, or C++ is great, others are fine
• Experience working in Linux environments is a huge plus
• Experience building distributed or data intensive systems is a big plus
• Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
• Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts
• Understanding of basic probability, statistical inference, software solvers, mathematical optimization is a plus, but not essential
• Interest and experience in LLM, agentic systems is a plus, but not essential

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams.

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in C++ on Linux platform
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Python development experience is also a plus
• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-MH1

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking an exceptional individual to be a key contributor to the maturation phase of several essential software systems currently in firmwide use.  These systems are an important part of the research and production trading pipelines. Your mission will be to relentlessly improve their performance, scalability, reliability and survivability while continuing to develop features. Key technologies for the products include:

• Java (and to a lesser extent Python)
• Distributed systems
• Kafka
• PostgreSQL
• BigQuery

What You’ll Bring:

• Computer Science degree (advanced degree or equivalent experience preferred- particularly with storage technologies or distributed systems)
• Extensive experience as a key contributor in the development of complex software systems (leading financial services firm experience preferred- particularly involved in high performance systems)
• Deep expertise in modern Java and distributed systems, with hands-on experience building scalable, resilient, mission-critical services
• Strong experience with data-intensive architectures using technologies such as Kafka, PostgreSQL and/or BigQuery, with a track record of performance optimization and reliability in production

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

Position Overview:

We are seeking a highly skilled Platform Engineer to join our dynamic team. The ideal candidate will have a strong background in system deployment and maintenance, with a keen eye for detail and a proactive approach to problem-solving. This role involves ensuring the stability and efficiency of our deployment processes, as well as developing and implementing fixes for any issues that arise.

What You'll Do:

• Architect and develop services that work at scale, for multiple customers using custom developed and Open Source software.
• Work within the team on the various products that the team supports.
• Develop tools to improve our ability to rapidly deploy and effectively monitor services in a large-scale distributed environment.
• Work with teams to design, develop, and implement innovative software solutions related to the DevOps and Agile transformation of the enterprise.
• Participate in periodic on-call duties
• Collaborate with peers both inside and outside your team.

What You’ll Bring:

• Exceptional systems development skills (Python/C/C++/go/rust)
• Strong systems integration skills (including http protocols, Kerberos, API programming).
• Experience providing secure APIs for system management and integration.
• Solid understanding and hands on experience working with Linux based systems.
• Strong working knowledge of container orchestration technologies such as K8S (preferred), and cluster management (E.g. Slurm)
• Experience with infrastructure as a code and related tools such as Helm, Ansible, Terraform.
• Hands-on knowledge with containerization systems such as Docker or Podman.
• Experience with CI/CD, GitLab (preferred), GitHub or Git.
• Experience with agile development.
• Experience with monitoring and logging systems such as Prometheus, Grafana, and the ELK stack.
• A great team attitude (our job is to make life easier for other teams!).
• Strong written and verbal communication skills in English.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
• Employee resources groups with strong diversity and inclusion culture 

#LI-DN1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in Python on Linux platform
• Candidate must be willing to learn C++. Experience in C++ is a strong plus
• Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-DN1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: As a Software Engineer Intern at WorldQuant, you will join a team building high‑performance, mission‑critical systems that power our business.  We seek entrepreneurial, motivated candidates who have a passion for technology and aspire to have an impact. You may work on applications that support our investment and trading processes, or on the core infrastructure and platforms that enable large‑scale data processing, distributed computation, and automation across the firm. The work requires a solid understanding of how computers operate at a low level and the ability to turn that knowledge into robust, practical solutions. You’ll contribute to our next‑generation technology stack, helping to drive future growth and set a high bar for technical excellence in the industry.

What You’ll Do

• Design, build and maintain high‑performance, reliable software components used in our research and trading platforms;
• Develop data processing pipelines and distributed systems that operate at scale;
• Collaborate closely with researchers, engineers and other stakeholders to understand requirements and translate them into technical solutions;
• Contribute to code reviews, testing, monitoring and continuous improvement of our systems;
• Proactively seek opportunities to improve performance, reliability and developer productivity;

What You’ll Bring

• Currently pursuing a degree in quantitative or technical field (e.g. Computer Science, Engineering, Mathematics, Physics) with strong academic performance
• Strong programming skills in one or more object‑oriented languages (e.g. C++, Python)
• Solid understanding of software development principles and methodologies
• Excellent problem‑solving and analytical skills, with strong attention to detail
• Evidence of high achievement (e.g. academic awards, Olympiads, notable projects, or other areas of excellence)
• A mature, thoughtful working style, with the ability to thrive in a collaborative, team‑oriented culture
• Self‑motivation and initiative; you ask thoughtful questions, seek clarity where needed, and drive your work to high standards
• Interest in finance, quantitative trading or financial data a plus

#LI-DN1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role:

• Participate in the development and maintenance of our large-scale, distributed storage platform.
• Interface with the users of the system to understand their use-cases and assist them in making the best use of our tools and platforms
• Research best practices and propose feature specifications for our platform roadmap
• Develop and maintain features and tools that complement our core platform offering

What You'll Bring:

• University Degree, preferably in Computer Science, Electrical Engineering or related fields.
• At least 5 years of work experience.
• Strong (English) communications skills and experience working in a global environment
• Expertise in Software Life Cycle management methodologies and tools, including Git and JIRA (required)
• Expertise in C/C++, and/or Go and/or Python (at least one required)
• UNIX/Linux (required).
• Knowledge on the design and development of large-scale, distributed storage systems (desirable)

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

#LI-MH1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

What You’ll Bring:

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience
• Strong programming skills in mainstream quant programming languages, such as Python and C++
• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.

The Specialized Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

#LI-JB1

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day. 

We are looking for a Senior Software Engineer to manage new implementations or enhancements of our quickly growing portfolio of customers. They will lead the implementation of custom systems and applications aligned to business requirements and will be responsible for implementing the design and ensuring successful deployment of integrations through the entire project lifecycle. 

CMT is looking for a collaborative, customer-committed, and creative Senior Software Engineer, Customer Solutions who wants to join us in making roads safer by making drivers better! 

Responsibilities: 

• Serve as a tkey technical contributor for our customers in designing, developing, validating, maintaining, releasing, and operating CMT backend customer solutions and integrations, with the ultimate goal being to help the top insurance companies in the world in growing their business and in implementing CMT’s telematics solutions. 
• Work with Sales, Engineers, and Solution Architects to understand business requirements and effectively size Sprints with active participation in scrum team planning and technical meetings
• Conduct due diligence remotely and on-site with clients and partners in concert with Platform Engineering team members to define customer integration requirements and design 
• Ensure that the implementation of integration designs are secure, performant, scalable, fault tolerant, and testable 
• Participate in architecture/implementation proposal reviews 
• Support and continuously improve release and deployment pipeline 
• Partake in an on-call rotation alongside the engineers who build our production backends
• Be able to operate in a highly regulated environment 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in a related field 
• 4+ years of relevant experience 
• Good coding skills in at least one programming language, and a desire to pick up more. We work primarily in Python, with smatterings of shell scripts, Jenkinsfile and JSON configurations.
• Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, SDK's, etc.) 
• Ability to identify and clearly communicate pragmatic solutions to complex integration problems
• Deep understanding of AWS services and DevOps principles

Nice to Haves: 

• Master's degree preferred 
• Experience using EC2, SQS, Lambda, Dynamo, RDS (PostgreS), S3, Kinesis, ECS, and IAM
• Experience with Docker, NGINX, PostgreSQL, Consul and/or Cassandra 
• Experience with large scale production systems and technologies, for example load balancing, monitoring, distributed systems, and/or configuration management

Compensation and Benefits: 

• Fair and competitive salary based on skills and experience 
• Equity may be awarded in the form of Restricted Stock Units (RSUs) 
• Private healthcare 
• Life insurance 
• Parental leave 
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The gross base yearly salary range for this position is: 18,306,300 to 22,882,900 HUF. This range is specifically for Budapest, Hungary. 

Additional Perks: 

• Feel great working to improve road safety around the world! 
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness 
• Extensive education and employee assistance programs 
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion: 

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

Requirements

As a Senior Software Engineer at Diligent:
You build things that scale - and you don’t stop at “it works.” 
You design clean, reliable backend systems, shape architecture decisions, and turn data into something powerful using AI/ML.
If you’re a Python-focused engineer who’s comfortable with cloud-native development, data pipelines, and solving real - world performance challenges, this is your space. You’ll be hands - on with modern tech (AWS, SQL/NoSQL, IaC), working in Agile teams where your ideas influence both the codebase and the product. If terms like scalability, distributed systems, APIs, data processing, and machine learning actually mean something in your day-to-day - you’ll feel at home here.

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

• Design, implement, review, and test features in an Agile environment
• Contribute to system architecture and shape the future-state design of the platform
• Build and optimize scalable data processing solutions
• Develop and integrate AI/ML capabilities into data workflows
• Prototype and validate backend approaches when needed
• Collaborate with Product Managers and Engineering Managers to refine requirements and user stories
• Ensure reliability, scalability, and cost-efficiency of solutions
• Work closely with cross-functional teams to ensure smooth delivery to production
• Follow and promote best practices in code quality and testing

These are the essentials you’ll need to get an interview:

• 5+ years’ experience in a hands-on development role at a commercial software company
• Strong experience with Python and common libs
• Experience with SQL and NoSQL databases, preferably PostgreSQL and ElasticSearch
• Solid experience with cloud native development (preferably AWS)
• Hands-on experience with Infrastructure as Code using Terraform or AWS CDK (TypeScript)
• Problem-solver attitude - Technology agnostic approach
• Good written and oral communications
• Solid troubleshooting ability and skills
• Ability to contribute to the effectiveness of a high-performing agile team, and to the product innovation.
• Successfully manage own workload, and take personal responsibility and ownership for delivery, behaviors, and self-improvement
• Keen to improve processes and share knowledge across the team.

It would be great if you had these to, but we’ll support you if you don’t:

• Experience with system design and scalable distributed systems
• Proven experience building and maintaining data pipelines
• Experience with Apache Spark and/or Apache Airflow
• Familiarity with AI/ML models and their integration into data pipelines
• Understanding of cost-efficient data and AI processing
• Experience with CI/CD pipelines, containerization, and cloud deployments (e.g., Docker, GitHub Actions)
• Experience with Test-Driven Development (TDD)

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a collaborative, customer-committed, and creative site reliability engineering team member who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Help resolve requests from or issues raised where Site Reliability Engineering assistance is needed
• Monitor the production infrastructure using tools such as Datadog, PagerDuty, and CloudWatch Logs and help identify opportunities to improve scalability and efficiency
• Help maintain the production infrastructure, performing tasks such as updating AMIs and installing the latest security patches on a regular basis
• Perform regularly scheduled production changes such as service updates
• Help the Security Operations team to ensure that we are meeting compliance requirements (i.e. ensuring that endpoint security is deployed, etc.)
• Assist other members of the SRE team on planned project work
• Following extensive onboarding, participate in the on-call rotation as a level 1 responder and participate in incident response
• Creating and updating runbooks for repetitive tasks
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification
• 2+ years of relevant working experience in software engineering, site reliability engineering, and/or IT systems administration
• Entry to mid-level programming skills in at least one programming language, preferably Python
• Entry to mid-level knowledge and experience with AWS services
• Entry to mid-level knowledge and experience with infrastructure-as-code platforms, preferably Terraform
• Entry to mid-level knowledge and experience working with Linux operating systems (Ubuntu, Amazon Linux) and applications (i.e. NGINX, Cassandra)

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity in the form of Restricted Stock Units (RSUs)
• Private healthcare
• Life insurance
• Parental leave
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The gross base yearly salary range for this position is: 14,311,100 to 17,888,900 HUF. This range is specifically for Budapest, Hungary. 

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive wellness, education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

The Technical Partner Management (TPM) team owns the end-to-end technical health, expansion, and evolution of Yext’s Publisher Network.

As a Technical Partner Manager (TPM), you will operate at the intersection of Product, Engineering, Publisher Partnerships, and Operations to design, implement, and maintain high-impact publisher integrations across Yext’s Listings ecosystem. TPMs combine systems thinking, integration architecture, technical investigation, and execution leadership to ensure publisher integrations are scalable, reliable, and continuously improving.

This is a highly technical, cross-functional role that blends integration ownership, operational rigor, and structured solution design. TPMs are trusted technical leads for the Publisher Network and play a critical role in reducing Engineering overhead while increasing integration quality and velocity.

What You’ll Do

Own End-to-End Publisher Integrations

• Lead technical discovery for new and existing publisher integrations by analyzing API documentation, changelogs, and system behavior
• Define detailed functional and technical requirements for integrations, new fields, and feature expansions
• Partner directly with Engineering to drive implementation from specification through QA and release
• Validate edge cases and ensure integrations meet expected behavior and performance standards prior to launch
• Continuously evolve integrations as publisher capabilities and Yext products expand

Drive Integration Health & System Reliability

• Define, monitor, and continuously improve KPIs for integration health
• Build and maintain monitoring using SQL, Snowflake, Python, and observability tools (e.g., dashboards, alerting systems)
• Proactively identify systemic issues and implement scalable solutions rather than one-off fixes
• Investigate complex production issues across databases, APIs, and integration layers
• Determine whether issues originate on the Yext or publisher side and coordinate resolution paths accordingly

Technical Investigation & Root Cause Analysis

• Leverage modern development and AI-assisted tools to analyze system behavior and trace integration issues
• Identify configuration, logic, or workflow gaps contributing to defects
• Propose and collaborate on code-level or architectural improvements with Engineering
• Submit well-scoped change requests when appropriate and partner closely with Engineering through resolution

While TPMs are not Software Engineers, they operate with a strong understanding of system architecture and code behavior.

Improve & Expand the Publisher Network

• Drive delivery of new fields, features, and capabilities to existing integrations
• Partner with strategic publishers (e.g., Tier 1 platforms) to beta test and adopt new functionality
• Identify product gaps and advocate for scalable solutions that improve customer outcomes
• Contribute to automation initiatives that reduce manual operational work across Yext

Strategic Stakeholder Leadership

• Act as the technical liaison between Engineering, Product, Publisher Partnerships, Support, and Publisher contacts
• Translate complex technical issues into clear business impact for non-technical stakeholders
• Escalate systemic risks appropriately and influence prioritization when integration health is at risk
• Support high-impact strategic client escalations involving Tier 1 publishers when needed

What Makes This Role Unique

TPM is not a traditional support function. It is a technical ownership role responsible for the architecture, reliability, and evolution of Yext’s publisher ecosystem.

TPMs reduce Product and Engineering load by:

• Conducting integration R&D
• Defining requirements with precision
• Filtering and resolving false escalations
• Building monitoring and automation systems
• Driving scalable improvements

This role requires comfort operating in ambiguity, making technical recommendations independently, and influencing cross-functional outcomes without formal authority.

What You Have

• BA/BS in Engineering, Computer Science, or related technical field (or equivalent technical depth through experience)
• Strong systems thinking and ability to reason through APIs, data flows, and integration architectures
• Experience working with APIs and reading technical documentation
• Proficiency with SQL and data analysis (Snowflake or similar data warehouses)
• Experience writing scripts in Python (or similar language) to automate workflows or analyze data
• Strong technical debugging and root cause analysis skills
• Ability to write structured functional and technical documentation
• Excellent communication skills across both technical and non-technical audiences
• High ownership mentality and ability to operate independently in ambiguous environments

Success in This Role Looks Like

• Publisher integrations launch on time with minimal post-release defects
• Integration health metrics trend positively over time
• Systemic issues are solved at scale rather than via one-off fixes
• Engineering load related to publisher integrations is reduced through TPM ownership
• Strategic publisher relationships result in expanded capabilities and improved customer outcomes

#LI-JS2

Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

At Formlabs, software isn’t a side dish—it’s core to how we design, manufacture, and deliver world-class 3D printing products. Our Dashboard is the nervous system that connects printers, customers, data, and teams. We’re looking for a Lead Full Stack Software Engineer to help own and evolve this platform from the ground up.

This is a high-ownership, high-impact role where you’ll shape architecture, ship meaningful features, and help define best practices as we scale.

The Job:

• Be a foundational engineer for the Dashboard and its backend infrastructure, influencing long-term technical direction.
• Design, build, and scale reliable, high-performance web applications using Python and Django at the core.
• Develop user-facing frontend features (React) and collaborate closely with Marketing and Design to deliver polished, intuitive experiences.
• Own projects end-to-end—from technical design and implementation to rollout and iteration.
• Contribute to architectural decisions, engineering standards, and best practices across the team.
• Balance speed and quality with a pragmatic mindset, always optimizing for long-term maintainability.

You:

• A strong track record of building, shipping, and maintaining production web applications.
• Deep experience with Python/Django and modern frontend frameworks such as React.
• A primary-owner mentality: you take pride in your systems, sweat the details, and see projects through to completion.
• A high bar for code quality—clean, documented, testable, and readable.
• Comfort collaborating across disciplines, especially with Design, Marketing, and Engineering partners.
• The ability to thrive outside your comfort zone, quickly learning new tools and technologies as needed.

Bonus Skills:

• Familiarity with infrastructure and orchestration: Kubernetes, Docker, Go, Kafka, GCP, AWS etc.
• Experience with CI/CD pipelines
• Passion for 3D printing and emerging technologies
• Experience in a fast-growing startup environment

We Offer:

• Hybrid work
• Catered lunch at the office 3 days per week
• Private health insurance with Medicare (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Shares in the company (we're a double unicorn company!)
• Free beverages and snacks at the office
• All You Can Move sports pass with 9500 HUF monthly allowance
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site
• Fun team events
  

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

Business Intelligence Consultant

Budapest, hybrid

This role is part of our Creative & Media team. Our team is a vibrant mix of talents, ranging from Creatives, Influencer Marketers, Brand & Content Strategists to Account Managers, Programmatic and Marketing Automation Consultants. Together, we blend imaginative storytelling and performance-driven strategies with cutting-edge technology to create engaging digital experiences that build lasting relationships with our clients like Netflix, Canva, Foot Locker, Philips & Biscoff. 

JOB PURPOSE

As a Business Intelligence Consultant at DEPT®, you help our clients turn complex data into clear, actionable insight. You work closely with stakeholders to understand how their business is run, what decisions they need to make, and which KPIs truly matter – then translate this into smart BI solutions and dashboards that people actually use.

As a Business Intelligence Consultant, you are the absolute expert in translating business questions into data products, designing clear dashboard concepts and validating data with stakeholders. You know how to work with multiple data sources, set up and maintain data connections, and guide clients in choosing and using the right BI tools. You help clients not only get the right data in the right place, but also feel confident using it to steer their marketing, ecommerce and wider business performance. The BI Consultant will also actively contribute to the ongoing growth and success of the department and team. 

The BI Consultant joining the expert team, will take on a portfolio of well known clients and manage multiple, diverse projects, from strategic advice, solution design to hands-on implementation.

KEY RESPONSIBILITIES

• Lead and facilitate discovery workshops with clients to understand their business model, stakeholders, KPIs and reporting needs;
• Translate business questions into clear BI requirements, data models and dashboard concepts;
• Design, prototype and build dashboards that serve both management and specialist users, ensuring they are intuitive, insightful and actionable;
• Set up, validate and maintain data integrations from multiple sources (e.g. marketing platforms, CRM, ecommerce, internal systems);
• Conduct audits of existing BI and reporting setups, assessing data quality, tooling, processes and overall data maturity;
• Collaborate closely with client- and in-house teams to guide them on best practices for data collection, modelling and visualisation;
• Enable and onboard clients on their dashboards and reports, ensuring stakeholders understand, adopt and use them to drive decisions;
• Continuously identify opportunities to improve and automate reporting, streamlining recurring analysis and freeing up time for insight-driven work.

WHAT WE ARE LOOKING FOR

• Relevant experience in a data-related role (e.g. BI Consultant, Data Analyst, Data Specialist, Marketing Analyst)
• Strong SQL expertise for data manipulation, transformation and data models (e.g. starschema’s).
• Strong experience in one or more reporting tools: PowerBI, Looker Studio, Looker, or Tableau
• Experience with data analysis and/or data analysis tools (e.g. Python, R, SPSS)
• An understanding of marketing data (e.g. campaign performance, attribution, website tracking)
• An analytical, independent and proactive profile with strong stakeholder management and communication skills, who feels at home in a client-facing environment.

Nice to have

• Fluent Dutch 

WHO ARE WE? 

We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating. 

Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world.

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.

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. 

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
• Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
• Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We are looking for an Embedded Software Engineer for our Embedded team with a user focused mindset and strong technical background. Our embedded team is the essential component that ties software, hardware and electronics together that pushes the limits of 3D printing. They are responsible for designing and implementing our firmware. 

**This is a Hybrid role which requires weekly presence in our Budapest office.

The Job:

• Design, build, test, and ship development tools and prototype code for your fellow R&D engineers working on new, unlaunched Formlabs products. 
• Design, build, test and ship code for new printer features to the tens of thousands of Formlabs devices in the field
• Ensure code re-use with a strong focus on maintainability, testing and CI
• Collaborate with different stakeholders (product managers, designers) to ensure we build the right features for our customers, existing and future. 

You:

• Have written code that lives on hardware products 
• Program with modern languages used for embedded software stacks, ideally in C++, and/or Python
• Easily implement common embedded software architecture patterns for things like filtering, control loops, and remote procedure calls
• Are willing to take initiative and learn from failures
• Distill complex things simply when communicating with non-software stakeholders. 

We Offer:

• Hybrid work
• Shares in the company (RSUs)
• Catered lunch at the office 3 days per week
• Private health insurance with Medicover (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Free beverages and snacks at the office
• All You Can Move sports pass with 9500 HUF monthly allowance
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

At Formlabs, software isn’t a side dish—it’s core to how we design, manufacture, and deliver world-class 3D printing products. Our Dashboard is the nervous system that connects printers, customers, data, and teams. We’re looking for a Senior Full Stack Software Engineer to help own and evolve this platform from the ground up.

This is a high-ownership, high-impact role where you’ll shape architecture, ship meaningful features, and help define best practices as we scale.

The Job:

• Be a foundational engineer for the Dashboard and its backend infrastructure, influencing long-term technical direction.
• Design, build, and scale reliable, high-performance web applications using Python and Django at the core.
• Develop user-facing frontend features (React) and collaborate closely with Marketing and Design to deliver polished, intuitive experiences.
• Own projects end-to-end—from technical design and implementation to rollout and iteration.
• Contribute to architectural decisions, engineering standards, and best practices across the team.
• Balance speed and quality with a pragmatic mindset, always optimizing for long-term maintainability.

What you bring:

• A strong track record of building, shipping, and maintaining production web applications.
• Deep experience with Python/Django and modern frontend frameworks such as React.
• A primary-owner mentality: you take pride in your systems, sweat the details, and see projects through to completion.
• A high bar for code quality—clean, documented, testable, and readable.
• Comfort collaborating across disciplines, especially with Design, Marketing, and Engineering partners.
• The ability to thrive outside your comfort zone, quickly learning new tools and technologies as needed.

Bonus Skills:

• Familiarity with infrastructure and orchestration: Kubernetes, Docker, Go, Kafka, GCP, AWS etc.
• Experience with CI/CD pipelines
• Passion for 3D printing and emerging technologies
• Experience in a fast-growing startup environment

We Offer:

• Hybrid work
• Catered lunch at the office 3 days per week
• Private health insurance with Medicare (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Shares in the company (we're a double unicorn company!)
• Free beverages and snacks at the office
• All You Can Move sports pass with 7000 HUF monthly allowance
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site
• Fun team events
  

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

Job Responsibilities:

Technical Leadership & Architecture

• Guide architectural decisions for computer vision and multimodal systems
• Drive implementation of novel ML approaches and best practices
• Lead technical design reviews and architecture discussions
• Establish patterns for model development and deployment
• Evaluate and introduce new technologies and methodologies
• Ensure technical excellence across ML initiatives

Team Mentorship & Growth

• Mentor senior and junior machine learning engineers
• Foster a culture of engineering excellence and knowledge sharing
• Guide career development of team members
• Lead technical discussions and learning sessions
• Review and provide feedback on technical approaches
• Help build and maintain high engineering standards

Technical Implementation & Scale

• Lead development of complex ML systems and architectures
• Guide optimization of model performance and efficiency
• Establish frameworks for model evaluation and validation
• Drive improvements in development and deployment processes
• Ensure production readiness and system reliability
• Architect scalable ML solutions

Job Requirements:

Education & Experience

• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 8+ years of experience in Machine Learning/AI
• Deep expertise in computer vision and deep learning
• Proven track record of leading successful ML projects
• Experience mentoring engineers and driving technical excellence

Technical Expertise

• Expert knowledge of computer vision and multimodal architectures
• Deep understanding of ML system design and scalability
• Strong programming skills in Python and modern ML frameworks
• Extensive experience with production ML systems
• Proven ability to solve complex technical challenges
• Strong background in performance optimization

Leadership & Communication

• Demonstrated ability to mentor and grow engineers
• Strong track record of driving technical decisions
• Excellence in technical communication and documentation
• Experience leading architectural discussions
• Ability to influence and drive consensus
• Track record of fostering team growth

This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.

Here are some of our local benefits:

Here’s a summary of the role:  

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product
• Design and implement a 7-agent architecture: OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor
• Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models
• Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready
• Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one

These are the essentials you’ll need to get an interview:

• A degree in Computer Science, Software Engineering, or a related IT discipline
• Demonstrable understanding of AI/ML concepts, including LLMs and agent-based systems
• Ability to write clean, well-tested code — Python preferred
• Strong experience of shipping real AI products - not chatbots!
• Strong communication skills and a collaborative mindset

It would be great if you had these to, but we’ll support you if you don’t:

• Exposure to AWS services, especially Amazon Bedrock or similar LLM hosting platforms
• Familiarity with GRC concepts (governance, risk, compliance) or cybersecurity frameworks such as ISO 27001 or SOC 2
• Any experience with agent orchestration libraries (e.g. LangChain, CrewAI, AutoGen)

Position overview:

We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform. 

You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development. 

This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who: 

• Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences. 

• Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands. 

• Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions. 

• Wants to lead by example and elevate the team — technically, culturally, and strategically. 

Key Responsibilities 

• Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. 

• Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value. 

• Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices. 

• Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches. 

• Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility. 

• Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration. 

• Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability. 

• Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly. 
• Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions. 

What You’ll Bring 

• 7+ years of professional software engineering experience, including 3+ years in a people management role. 

• A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs. 

• A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right. 

• Strong experience leading teams in agile environments, balancing delivery speed with technical quality. 

• Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc. 

• Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development. 

• Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible). 

• Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly. 

Preferred Experience 

• Hands-on background in .NET, Angular, Python or Node.js 

• Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases 

• Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems. 

• Track record of shipping high-quality, user-centered products. 

• A natural drive to push boundaries, learn fast, and make others better around you. 

#LI-Hybrid

Here’s a summary of the role:   

You’ll use your applied machine learning and generative AI skills to design and ship LLM powered product experiences that solve real problems for real users. You turn messy documents and complex language into smart assistants, agentic solutions, and search experiences that feel fast, reliable, and trustworthy. 

In this role you work end-to-end: framing problems, shaping prompts and workflows, orchestrating tools and retrieval, and partnering with engineers and product managers to bring modern AI into production. If you enjoy building with large language models and care deeply about evaluation, safety, and impact, you’ll feel at home here. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Design, prototype, and refine LLM based features over large document sets. 

• Orchestrate multistep, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text. 

• Define evaluation frameworks, experiments, and metrics so you can measure model quality, relevance, and safety with confidence. 

• Use AWS services (i.e. AWS Bedrock) to deliver reliable, secure, and scalable AI capabilities. 

• Work closely with domain experts, PMs and software engineers to turn prototypes into reliable, production ready services. 

• Handle complex, domain specific text (e.g. legal, financial, or regulatory content) with a strong focus on accuracy, robustness, and privacy. 

• Communicate your findings clearly, share best practices, and stay up to date with the latest ML and AI research that can improve your solutions. 

These are the essentials you’ll need to get an interview: 

• Hands-on experience building LLM powered applications or features (for example RAG systems, chatbots, assistants, agentic solutions or document centric workflows) — not just using chat interfaces. 

• Strong Python skills and everyday comfort with the modern data / AI ecosystem (e.g. pandas, NumPy, basic ML libraries, HTTP APIs, and SDKs for cloud AI services). 

• Practical experience with LLM powered solution design, evaluation, and iteration: you know how to test, compare approaches, and choose the one that works best with real data. 

• Familiarity with at least one cloud platform (ideally AWS) and building or contributing to services or pipelines that run in production. 

• A degree in Computer Science, Data/Applied Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience. 
  
• Clear communication skills, collaborative mindset, and a genuine interest in learning, sharing knowledge, and iterating quickly based on feedback. 

It would be great if you had these to, but we’ll support you if you don’t: 

• Experience designing and implementing agentic workflows (multistep reasoning, tool calling, planners) and/or building MCP servers or similar tool integrations. 

• Hands-on experience with AWS Bedrock or comparable platforms (model selection, configuration, guardrails, evaluation, and cost/performance trade-offs). 

• Experience with semantic search, vector databases, and information retrieval techniques in production systems. 

• Familiarity with observability and evaluation for LLM applications (e.g. logging, feedback loops, offline and online evaluation, safety checks). 

• Experience working with complex or regulated content such as legal, risk, compliance, financial, or governance documents. 

#LI-Hybrid

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite. 

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose. 

Key Responsibilities: 

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. 

• Build automated AI testing and evaluation frameworks. 

• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. 

• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization. 

• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services. 

• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.  

• Document and communicate your approach, progress, and results to the broader team and to other development teams. 

Required experience/skills: 

• 5+ years of relevant experience. 

• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles. 

• Proven proficiency in Python and TypeScript. 

• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers). 

• Ability to contribute to a high-performing agile team, and to product innovation. 

• Keen to improve processes and share knowledge across the team. 

Nice to have:  

• Hands-on AWS CDK experience 

• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers. 

• Experience with full AI-based solution lifecycle.

#LI-Hybrid

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We are looking for an Embedded Software Engineer for our Embedded team with a user focused mindset and strong technical background. Our embedded team is the essential component that ties software, hardware and electronics together that pushes the limits of 3D printing. They are responsible for designing and implementing our firmware. 

**This is a Hybrid role which requires weekly presence in our Budapest office.

The Job:

• Design, build, test, and ship development tools and prototype code for your fellow R&D engineers working on new, unlaunched Formlabs products. 
• Design, build, test and ship code for new printer features to the tens of thousands of Formlabs devices in the field
• Ensure code re-use with a strong focus on maintainability, testing and CI
• Collaborate with different stakeholders (product managers, designers) to ensure we build the right features for our customers, existing and future. 

You:

• Have written code that lives on hardware products 
• Program with modern languages used for embedded software stacks, ideally in C++, and/or Python
• Easily implement common embedded software architecture patterns for things like filtering, control loops, and remote procedure calls
• Are willing to take initiative and learn from failures
• Distill complex things simply when communicating with non-software stakeholders. 

We Offer:

• Hybrid work
• Shares in the company (RSUs)
• Catered lunch at the office 3 days per week
• Private health insurance with Medicover (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Free beverages and snacks at the office
• All You Can Move sports pass with 7000 HUF monthly allowance
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

Here’s a summary of the role:   

This is a principal-level role for someone who has already operated at Staff or Principal Engineer level in a sizeable engineering organization and can point to specific platform decisions — in production today — that they own. You'll set the technical direction for our AI-enabled platform: architecting secure, scalable, serverless systems on AWS, defining the patterns and governance practices that multiple teams adopt, and guiding where AI genuinely adds value across the stack. 

Your leverage comes from the systems, architectures, and standards you put in place — not from individual output. You'll mentor senior engineers, lead org-wide design decisions, and be the person other technical leaders turn to when the hard calls need to be made. You'll still write code, but that's not where your impact is measured. 

If you've led complex platform or AI initiatives at scale, have strong opinions about AI governance in production systems, and want the scope to shape an entire platform's future, this is that role. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Shape engineering strategy with broad organizational impact — you'll influence long-term architectural direction across multiple teams and products, not just within your own squad. 

• Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns. 

• Lead architectural discussions and design reviews where the stakes are real — making clear trade-offs around performance, security, reliability, and maintainability, and getting alignment across teams with competing priorities. 

• Own AI architectural decisions end-to-end: design AI-enabled systems with built-in governance, monitoring, and regulatory readiness baked in from the start, not retrofitted. Define where AI adds genuine value and where it doesn't. 

• Act as the organization's AI thought leader — educate engineering teams on model behavior, agentic systems, and responsible AI practices, and raise the overall maturity of how we design and deploy AI. 

• Mentor and stretch senior and staff engineers, building technical leadership depth across the organisation and holding a high bar for engineering standards. 

These are the essentials you’ll need to get an interview: 

• Principal-level track record at scale. 10+ years of software engineering experience, including at least 3 years' operating at Staff or Principal Engineer level in an organization of 100+ engineers. You've led large, complex platform or AI initiatives where you were the decision-maker, not a contributor. 

• Deep, opinionated AWS platform expertise. You've designed multi-account AWS architectures and made the call on when serverless is the wrong choice. You work fluently with Infrastructure as Code — Terraform or CDK preferred — and have strong views on observability, resilience, and security that you've translated into org-wide patterns. 

• Production AI systems experience. You've shipped AI-enabled systems — RAG pipelines, agentic frameworks, LLM orchestration, or similar — into production and can discuss the architectural decisions, failure modes, and trade-offs involved. "Understanding AI concepts" is not enough; we need someone who has built and run these systems. 

• AI governance in practice. You've defined and implemented AI governance in real production environments — bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies — not just read about it. This is essential, not a bonus. 

• API design and backend platform delivery. Proven track record designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript. You understand frontend concerns well enough to set API contracts that serve product teams effectively, even if you're not writing React day-to-day. 

• Org-level communication and influence. You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders. You're as comfortable in a board-level conversation as you are in a design review. 

It would be great if you had these to, but we’ll support you if you don’t: 

• Experience building platform components or SDKs that multiple product teams depend on, including the documentation and enablement work that makes them adoptable. 

• Involvement in architecture forums, tech councils, or similar bodies that define org-wide standards — either running them or playing a leading role. 

• Experience optimising cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning. 

• Leadership of major modernisation efforts — legacy migration to serverless, multi-region architecture, or platform consolidation across product lines. 

• A public technical presence — conference talks, open-source contributions, published writing — that demonstrates thought leadership beyond your current organisation. 
  
  #LI-Hybrid

Here’s a summary of the role:   

This is a principal-level role for someone who has already operated at Staff or Principal Engineer level in a sizeable engineering organization and can point to specific platform decisions — in production today — that they own. You'll set the technical direction for our AI-enabled platform: architecting secure, scalable, serverless systems on AWS, defining the patterns and governance practices that multiple teams adopt, and guiding where AI genuinely adds value across the stack. 

Your leverage comes from the systems, architectures, and standards you put in place — not from individual output. You'll mentor senior engineers, lead org-wide design decisions, and be the person other technical leaders turn to when the hard calls need to be made. You'll still write code, but that's not where your impact is measured. 

If you've led complex platform or AI initiatives at scale, have strong opinions about AI governance in production systems, and want the scope to shape an entire platform's future, this is that role. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Shape engineering strategy with broad organizational impact — you'll influence long-term architectural direction across multiple teams and products, not just within your own squad. 

• Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns. 

• Lead architectural discussions and design reviews where the stakes are real — making clear trade-offs around performance, security, reliability, and maintainability, and getting alignment across teams with competing priorities. 

• Own AI architectural decisions end-to-end: design AI-enabled systems with built-in governance, monitoring, and regulatory readiness baked in from the start, not retrofitted. Define where AI adds genuine value and where it doesn't. 

• Act as the organization's AI thought leader — educate engineering teams on model behavior, agentic systems, and responsible AI practices, and raise the overall maturity of how we design and deploy AI. 

• Mentor and stretch senior and staff engineers, building technical leadership depth across the organisation and holding a high bar for engineering standards. 

These are the essentials you’ll need to get an interview: 

• Principal-level track record at scale. 10+ years of software engineering experience, including at least 3 years' operating at Staff or Principal Engineer level in an organization of 100+ engineers. You've led large, complex platform or AI initiatives where you were the decision-maker, not a contributor. 

• Deep, opinionated AWS platform expertise. You've designed multi-account AWS architectures and made the call on when serverless is the wrong choice. You work fluently with Infrastructure as Code — Terraform or CDK preferred — and have strong views on observability, resilience, and security that you've translated into org-wide patterns. 

• Production AI systems experience. You've shipped AI-enabled systems — RAG pipelines, agentic frameworks, LLM orchestration, or similar — into production and can discuss the architectural decisions, failure modes, and trade-offs involved. "Understanding AI concepts" is not enough; we need someone who has built and run these systems. 

• AI governance in practice. You've defined and implemented AI governance in real production environments — bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies — not just read about it. This is essential, not a bonus. 

• API design and backend platform delivery. Proven track record designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript. You understand frontend concerns well enough to set API contracts that serve product teams effectively, even if you're not writing React day-to-day. 

• Org-level communication and influence. You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders. You're as comfortable in a board-level conversation as you are in a design review. 

It would be great if you had these to, but we’ll support you if you don’t: 

• Experience building platform components or SDKs that multiple product teams depend on, including the documentation and enablement work that makes them adoptable. 

• Involvement in architecture forums, tech councils, or similar bodies that define org-wide standards — either running them or playing a leading role. 

• Experience optimising cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning. 

• Leadership of major modernisation efforts — legacy migration to serverless, multi-region architecture, or platform consolidation across product lines. 

• A public technical presence — conference talks, open-source contributions, published writing — that demonstrates thought leadership beyond your current organisation. 
  
  #LI-Hybrid
  #LI-Hybrid

We are currently looking for a well-versed (Senior) Data Scientist to join the team to deliver consulting expertise our EMEA and US-based customers.

What (exactly) will you do?

As a (Senior) Data Scientist, your responsibilities will span across the following dimensions:

Project Planning & Delivery

In the planning phase of a project, you're expected to lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules. After the planning phase is over, you'll deliver the project on your own or within a mixed DS/DE team setup where you'll oftentimes take the role of a technical lead. Furthermore, during the project delivery, you will be client-facing, acting as DATAPAO's interface or SPOC to our customers.

During non-delivery cycles, you will provide ML/DS consultancy to technical teams for our EMEA customers. Our customers are either direct DATAPAO customers or coming via our Databricks partnership.

Data Science & AI consultancy

As a consultant, you will work closely with Databricks and cloud providers to understand the needs and requirements of clients. Based on your understanding, you will recommend solutions that leverage Databricks or native cloud features. Additionally, you will be responsible for conducting workshops to enable clients on these platforms.

Internal Solution Development

Besides customer projects, you’ll also work on internal solution development and research initiatives. Furthermore, you will be expected to grow your industry-specific knowledge and learn new technologies & methodologies by participating in the Data Science Group and by delivering solutions for internal usage.

Wider Organizational Initiatives

Occasionally, you can participate in developing Data Science and Machine Learning courseware (for our Education arm) to be delivered to customers or internal teams. You could also add value by providing technical (pre-sales) support for our Sales Team or creating content for marketing and sales.

Last but not least, if you would like to and have the required people skills, you can mentor other members of the data science guild. This includes regular tech mentorship meetings, one-on-ones, knowledge sharing sessions, and participation in performance reviews among others.

What does it take to fit the bill?

Soft Skills

Tech Skills

• Solid software engineering foundations (git, clean code principles, OO programming, etc.);

What do we offer?

• Flexible PTO and Working Hours - we’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and getting the work done.

• Flexible Office - it is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average. 

• 30 Calendar Days of Paternity Leave (if applicable) - we think it’s essential for both parents to be there when it matters the most. 

• Private Medical Insurance - we provide a private medical package via Generali. Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.

This role is located in Budapest, Hungary – We are a hybrid work environment and are in the office 3+ days per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You

The Tulip Embedded team focuses on development of the Tulip OS, maintaining and supporting bootloader, kernel, and userspace development for Tulip Hardware (Edge MC, Edge IO) and beyond. In this role, you will also work alongside product management and customers to identify key features, product performance, and contribute to strategic planning.

• Built large embedded (Linux) products in past roles (specifically user-facing products).
• Worked or designed connected edge/cloud environments and architected systems.
• Worked independently on problems and learned in the process.
• Collaborated on an interdisciplinary and diverse team.
• Partnered with Product and Design teams to help scope work.

What skills do I need?

• 6+ years of experience building embedded products used daily by customers
• Experience with a systems language (C, C++, Rust)
• Experience in an OS build system (Yocto, Buildroot, Android)
• Experience with shell scripting and command line environments
• Familiarity with an interpreted language (e.g., JavaScript, Python)
• Familiarity with common hardware buses and devices (e.g., I2C, SPI, PCIe)
• Working understanding of fundamental web and networking concepts, including HTTP, DNS, TCP/IP, SSL/TLS, sockets, proxy servers
• Experience in designing and implementing RESTful APIs over a microservice architecture (bonus)
• Experience with Redux, Node.js, Go, Electron, MongoDB, Postgres, WebSockets (bonus)
• Experience as a team lead or technical lead for a software team (bonus)
• Bias for action and impact

Key Responsibilities

• Maintain the Tulip Operating System (e.g., building, packaging, and supporting the OS)
• Configure and maintain routing, networking, and device configurations
• Maintain and add bootloader, kernel patches, and device trees on Tulip hardware
• Port the Tulip OS to other hardware targets
• Maintain and support OS toolchain and versioning
• Debug and resolve customer issues with support staff and technical teams
• Support security-related tooling for engineering firmware releases and release process

Key Collaborators

• Hardware and Software Engineers
• Hardware Manufacturing
• Software QA
• Applications Engineering
• Product Management

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private healthcare insurance
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team lunches in KFT Hub and office snacks
• Learning & Development incentive
• HU eyeglass benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.