Apache Spark Jobs in Budapest.
All active Apache Spark roles based in Budapest.
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At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
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?
- You have solid engineering foundations: a BSc or MSc (preferably in a STEM field) and a good grasp of coding in either Python or Java. This is essential, as the program is optimized to level you up in Data Engineering rather than teach basic programming.
- You have proven work experience: at least 1 long-term internship completed (ideally in Software Engineering, BI Development, or a similar field) or real-life work experience as a Software or Data Engineer (but ideally not more than 18 months). While we value work experience greatly, the program is focused on enabling Junior, high-potential talent to become world-class consultants rather than modeling already well-established ways of working.
- You thrive to learn new things: be it technical knowledge or soft skills. As a Junior, we'd expect that curiosity is your second nature. That, coupled with a good level of self-knowledge, will set you up for success in our environment.
- You love solving problems & naturally take ownership: a complex puzzle doesn't make you anxious but rather motivates you to do your best work. And this is because you believe that impact should not be judged in years of experience but in one's commitment and ability to step up and stretch beyond their job title.
- You are a strong communicator & fluent in English: meaning that you can adjust your communication style and articulate complex technical concepts (in English) to all types of audiences.
What do we offer?
- Educational benefits: We invest heavily in your growth from day one. You’ll spend the first 6 months mastering the core pillars of Data Engineering and earning your Databricks certifications through a high-intensity curriculum. This focus on learning doesn’t end here. After you graduate, you’ll have full access to Databricks’ internal and public courses, our internal library, and dedicated learning time during work hours. We also fully fund your professional data and cloud certifications throughout the program and your entire career with us.
- PTO and Working Hours: During the program, your working hours and PTO will be aligned with the curriculum to ensure you and your cohort get the most out of the training. Once you complete the program, you will transition to our standard flexible PTO and working hours scheme.
- Office and Remote Setup: As we believe that high-intensity learning and team integration happen best in person, the first 3 months of the program will be on-site in our Budapest office, which will move to a hybrid setup for the second half of the program. Once you graduate, you will transition to our standard flexible office policy, where we’d expect you to spend one day per week in the office on average.
- 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.
- Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, and standing desks in the office, and whatever else is needed to give your best.
- The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are highly valued at DATAPAO. Additionally, you'll get the chance to make real impact in a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.
- A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and poker nights with the team are also on us.
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.
This program requires EU citizenship or a valid right to work in Hungary. We do not currently offer sponsorship or visa transfers (including Skilled Worker visas). Applicants must have the legal right to work on a full-time basis to be considered for the program.
Want to know more about us?
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
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Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
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Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
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"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.
Ready to apply?
Apply to DATAPAO
Senior Python Engineer - AI Technology
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
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
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuantLead Python Engineer - AI Technology
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
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
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuant
Senior Software Engineer (Python and AWS)
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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)
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Machine Learning Engineer
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The Wow
As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.
A taster of what you will be involved with:
- Design, implement, and optimize machine learning models to solve complex business problems.
- Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
- Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
- Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
- Write and maintain high-quality, production-ready code for machine learning models and services.
- Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
What we are looking for:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
- Proficiency in Python, MLFlow and Spark would be considered an asset.
- Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
- Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
- Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
What we offer
- Fitness-wellness allowance 🧗♂️
- Company mobile phone for private use with 100 GB 📱
- Annual HUF devaluation compensation 💡
- Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
- Private Health Insurance 🩺
- Career development 📈
- Technical and soft-skill training opportunities 🎓
- Breakfast, fruits & lunch 🍎
- Team building events 🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Data Engineer
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The Wow
This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations.
A taster of what you will be involved with:
- Maintaining and evolving our existing data platform;
- Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect.
- Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams.
- Applying transformations to data streams;
- Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault;
- Ensuring data quality by verifying data consistency and accuracy;
- Keeping up to date on research and development of new technologies and techniques to enhance our data platform;
- Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management;
- Full ownership on projects and tasks assigned together with being able to work within a Team;
- Able to document well processes and perform knowledge sharing sessions
What we are looking for:
Must haves:
- Experience with modern cloud database technologies such as Snowflake;
- Experience with orchestrating data pipelines using Airflow;
- Experience with AWS Glue;
- Experience with Apache Iceberg;
- Experience with SQL, and Data Integration Tools
- Experience with any programming language like Python or Scala;
- Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS;
- Development experience in both Microsoft, and Linux/Cloud environments;
- Have strong analytical and problem-solving skills
Nice to have:
- Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault;
- Familiar with AWS Services such as MSK and EMR;
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with Time-series or Analytics Databases such as Elasticsearch;
- Familiar with data streaming using technologies such as Kafka;
- Familiar with software versioning tools like GIT;
- Familiar with infrastructure scripting like Terraform;
- Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch;
- Scripting – Powershell, Unix Scripting;
- At least 2 years experience in Data Engineering;
- Excellent verbal and writing English communication skills;
- Good learning mindset;
- Able to set priorities and multitask
What we offer
- Fitness-wellness allowance 🧗♂️
- Company mobile phone for private use with 100 GB 📱
- Annual HUF devaluation compensation 💡
- Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
- Private Health Insurance 🩺
- Career development 📈
- Technical and soft-skill training opportunities 🎓
- Breakfast, fruits & lunch 🍎
- Team building events 🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Machine Learning Engineer II // Senior Machine Learning Engineer
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At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!
Signifyd’s Machine Learning team builds production ML models and risk management tools that are the core of Signifyd's product. These models are an integral part of all our products.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.
The team has end-to-end ownership of our decision-making engine, from research and development to online performance and risk management.
We value collaboration and team ownership - no one should feel they're solving a hard problem alone.
Together, we help each other develop our skillsets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
How you'll have an impact:
- Research emerging fraud patterns in real-time with our Risk Intelligence team
- Improve the important components of the Signifyd Commerce Protection Platform
- Communicate complex ideas to a variety of audiences, including executives
- Build production machine learning models that identify fraud
- Write production and offline code in python, PySpark
- Work with distributed data pipelines
- Collaborate with engineering teams to strengthen our machine-learning pipeline
Past experience you'll need:
- A degree in computer science or a comparable analytical field
- 3+ years of post-undergrad work experience required
- Strong verbal and written communication skills
- Strong machine learning and statistical background, and a track record of being able to deliver under pressure.
- Write code and review others' in a shared codebase in Python
- Practical SQL knowledge
- Design experiments and collect data
- Familiarity with the Linux command line
Bonus points if you have:
- Previous work in fraud, payments, or e-commerce
- Data analysis in a distributed environment
- Passion for writing well-tested production-grade code
- A Master's Degree or PhD
Benefits:
- Stock Options
- Annual Performance Bonus or Commissions
- Pension matched up to 3%
- ‘Day one’ access to great health insurance scheme
- Paid team social events
- Mental wellbeing resources
- Dedicated learning budget through Learnerbly
Ready to apply?
Apply to Signifyd
At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
We are currently looking for a well-versed (Senior) Data Engineer to work with our EMEA and US customers and help them solve their data engineering, ML and/or ML Ops, and cloud migration puzzles.
As a Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. The majority are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship, alone or along with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by mentoring more junior engineers, evaluating the quality of their work, and contributing to hiring best-in-class data engineers.
What does it take to fit the bill?
- Consultant mindset & passion for customer experience - you prioritize your work with the customer in mind and you seek to advise (rather than purely execute) your customers on the best-in-class technical solutions;
- Excellent communication & presentation skills - you can adjust your communication style, and articulate complex, technical concepts to all types of audiences;
- Solid software engineering foundations - you are a stack-agnostic senior software engineer, have significant experience working on Unix/Linux, and a strong understanding of how Distributed Systems work. Additionally, you are familiar with (and keen to follow) best-in-class software engineering principles;
- Data & Cloud are part of your engineering journey - you played a role in teams that designed and implemented data-intensive applications and you have strong SQL & NoSQL hands-on experience. Exposure to Real-Time Data Processing Systems, Apache Spark, and/or the Big Data ecosystem is an advantage;
- Mentoring skills & strong predisposition to knowledge-sharing - are things that excite you. We consider ourselves a learning organization and believe that these are meaningful tools for one to compound his/her impact across the team and the organization. Thus technical mentoring and/or people management hands-on experience is a big plus;
- You thrive when having to solve problems & take ownership - you solve problems on your own and advise (or coordinate) others on how to do the same. Moreover, you love stepping up as a technical lead or identifying organizational gaps and filling them in - being an organizational process or documentation gap, a customer communication miss-match, or a resource allocation deficiency;
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You are fluent in English and willing to travel (mainly in the EU and normally within a short business trip setup) up to 15% of your time.
What do we offer?
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Educational benefits: There’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library.
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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 the work you do.
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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.
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30 Calendar Days of Paternity Leave (if applicable): We think it’s essential for both parents to be there when it matters the most.
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Private Medical Insurance: We provide a private medical package via Generali.
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Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.
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Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best.
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The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.
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A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are also on us.
The gross salary for this position ranges from gr. 1.200.000 - 1.700.000 HUF/month for a Medior and from gr. 1.700.000 - 2.300.000 HUF/month for a Senior role, depending on your assessed seniority level during the selection process.
Want to know more about us?
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
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Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
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Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
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"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.
Ready to apply?
Apply to DATAPAO