44 Empregos para Ciência De Dados - Portugal

Are you passionate about large-scale data engineering and high-performance data pipelines? We're hiring a
Big Data Engineer
to work with cutting-edge Big Data technologies and cloud platforms.

What do you need to be a SMART Big Data Engineer?

• Degree in Computer Engineering, Information Systems, or a related field
• Strong experience with
  Big Data technologies
  : Hadoop, HDFS, Hive, Kerberos
• Proficiency in
  Python
  ,
  Scala
  , and
  Spark
  (including PySpark)
• Experience with
  Oracle
  and
  Hive
• Hands-on experience with
  Shell Script
  and analyzing
  Execution Plans
  for performance tuning
• Familiarity with
  DevOps concepts
  and
  CI/CD tools
  (Git, Azure DevOps)
• Analytical mindset to investigate and resolve complex data issues
• Minimum
  B2 level of English
  (fluency required)

What will your role at SMART be?

• Design, develop, and optimize large-scale data pipelines and workflows
• Analyze and test different architecture and design solutions
• Investigate and resolve data quality and performance issues
• Collaborate with cross-functional teams to implement scalable data solutions
• Contribute to the continuous improvement of performance and reliability of data platforms
• Work closely with DevOps and QA to ensure stable delivery and deployment

Nice to Have

• Experience with
  performance optimization
  in distributed environments
• Exposure to
  cloud platforms
  (GCP, Azure, or AWS)
• Experience with
  data security concepts
  and authentication mechanisms (Kerberos)

Why be SMART?

• We make the projects we work on a reality
• We love what we do and take pride in the results
• We are simple, efficient, and focused
• We value our people above all

Where can you be SMART?

Work model:
Hybrid (Porto or Lisbon)

Candidates must live in
Portugal

Interested?

Send us your
English CV
and become part of something SMART

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:

Decskill Talent: We believe that our people are key to our success.

Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.

Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.

Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.

At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.

We are looking for a Big Data Platform Administrator for
a project based in Lisbon (Hybrid).

Responsibilities:

• Administer and support Cloudera-based Hadoop clusters (on-premise)
• Perform patching, upgrades, and lifecycle management of the platform
• Ensure resource allocation, performance tuning, and hardware optimization
• Manage access controls, including Kerberos authentication, Ranger/Sentry policies, and TLS encryption
• Collaborate with infrastructure teams (network, storage, security) to maintain platform stability
• Automate tasks using Ansible and scripting (Python, Java)
• Monitor and troubleshoot services like YARN, Kafka, and HDFS
• Maintain technical documentation and contribute to knowledge sharing

SKILLS:

• Cloudera or Big Data certifications
• Familiarity with ingestion tools (Kafka, NiFi, Flume)
• Knowledge of ITIL processes
• English- Advanced.

If you're interested in this job please send your CV in English to with reference "ZG/Bigdata

Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality, or any other form of discrimination incompatible with the dignity of the human

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

As a Machine Learning Researcher specializing in STT, NMT, and TTS systems, you will independently and collaboratively conduct research and development of novel models in these domains under the guidance of the Head of R&D. This role requires excellent technical skills and the ability to bring innovative AI solutions from research to robust, production-grade implementations.

RESPONSIBILITIES

• Conduct research and development of novel models in STT, NMT, and TTS, independently or in collaboration with other team members.
• Build and iterate on research prototypes, conducting experiments and evaluations.
• Transition promising research into robust, production-grade implementations.
• Work with cross-functional teams including product, engineering, and design to bring AI solutions to life.
• Stay up-to-date with the latest research in speech and language AI and adapt state-of-the-art ideas to our needs.

REQUIRED EXPERIENCE AND QUALIFICATIONS

• Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research.
• Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of machine learning and deep learning fundamentals.
• Hands-on experience with at least one of:

> Speech recognition models (e.g., experience with open-source toolkits such as Kaldi, DeepSpeech, or ESPnet, or designing and implementing a custom STT system).

> Neural Machine Translation with Transformer-based architectures (e.g., proficiency in frameworks like OpenNMT, Fairseq, or MarianNMT, or hands-on experience developing an end-to-end NMT system).

> Text-to-Speech systems (e.g., familiarity with models like Tacotron, FastSpeech, or WaveGlow, or building a complete TTS pipeline).

> Experience with training, fine-tuning, or adapting large language models such as LLaMA, GPT, Mixtral.

• Familiarity with handling large datasets and conducting rigorous evaluation of models.
• Strong software engineering skills, including experience with version control, modular code design, and working with complex codebases.

PREFERRED QUALIFICATIONS

• Experience deploying ML models to production environments (cloud or on-prem).
• Proficiency in C# and .NET (our broader platform is built in .NET technologies).
• Familiarity with Azure, AWS or other cloud platforms.
• Basic understanding of front-end technologies (e.g., HTML, JavaScript, and CSS) for prototyping demo interfaces.

DESIRED SKILLS AND EXPERIENCE

• Passionate about the intersection of AI research and real-world applications.
• Enjoy experimenting, learning, and iterating with limited specs or guidance.
• Clear and proactive communication with peers and stakeholders.
• Initiative and ownership, especially when navigating ambiguity.
• Openness to working with unfamiliar tools or domains when needed

By applying, I confirm I have read and accept TransPerfect's Privacy Policy:

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

As a Machine Learning Researcher specializing in STT, NMT, and TTS systems, you will independently and collaboratively conduct research and development of novel models in these domains under the guidance of the Head of R&D. This role requires excellent technical skills and the ability to bring innovative AI solutions from research to robust, production-grade implementations.

RESPONSIBILITIES

• Conduct research and development of novel models in STT, NMT, and TTS, independently or in collaboration with other team members.
• Build and iterate on research prototypes, conducting experiments and evaluations.
• Transition promising research into robust, production-grade implementations.
• Work with cross-functional teams including product, engineering, and design to bring AI solutions to life.
• Stay up-to-date with the latest research in speech and language AI and adapt state-of-the-art ideas to our needs.

REQUIRED EXPERIENCE AND QUALIFICATIONS

• Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research.
• Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of machine learning and deep learning fundamentals.
• Hands-on experience with at least one of:

> Speech recognition models (e.g., experience with open-source toolkits such as Kaldi, DeepSpeech, or ESPnet, or designing and implementing a custom STT system).

> Neural Machine Translation with Transformer-based architectures (e.g., proficiency in frameworks like OpenNMT, Fairseq, or MarianNMT, or hands-on experience developing an end-to-end NMT system).

> Text-to-Speech systems (e.g., familiarity with models like Tacotron, FastSpeech, or WaveGlow, or building a complete TTS pipeline).

> Experience with training, fine-tuning, or adapting large language models such as LLaMA, GPT, Mixtral.

• Familiarity with handling large datasets and conducting rigorous evaluation of models.
• Strong software engineering skills, including experience with version control, modular code design, and working with complex codebases.

PREFERRED QUALIFICATIONS

• Experience deploying ML models to production environments (cloud or on-prem).
• Proficiency in C# and .NET (our broader platform is built in .NET technologies).
• Familiarity with Azure, AWS or other cloud platforms.
• Basic understanding of front-end technologies (e.g., HTML, JavaScript, and CSS) for prototyping demo interfaces.

DESIRED SKILLS AND EXPERIENCE

• Passionate about the intersection of AI research and real-world applications.
• Enjoy experimenting, learning, and iterating with limited specs or guidance.
• Clear and proactive communication with peers and stakeholders.
• Initiative and ownership, especially when navigating ambiguity.
• Openness to working with unfamiliar tools or domains when needed

By applying, I confirm I have read and accept TransPerfect's Privacy Policy:

Dotmoovs
is a pioneering startup that combines advanced computer vision algorithms with a global competitive environment for sports. The platform leverages state-of-the-art artificial intelligence (AI) to analyze videos of users performing different exercises in real-time.

This AI-based system functions as a virtual referee, assessing the performance of participants.

The core concept of Dotmoovs revolves around bridging the gap between physical and geographical limitations in sports. It provides a unique solution for amateur athletes and sports enthusiasts to engage in competitive activities, regardless of their location. Users can challenge friends or similarly skilled players from anywhere in the world in their favorite sports.

Locations Supported

This role is on site, and requires you to spend your time in our office in Braga.

About The Opportunity:

Imagine being part of a cutting-edge team where your work not only contributes to the next big technological advancement but also shapes the future of how we interact with sports. At Dotmoovs, you're not just an engineer; you're a trailblazer at the forefront of an exciting, evolving landscape. As a Machine Learning Engineer in our innovative team, you will play a crucial role in developing and improving our AI-driven system, enabling it to analyze and interpret user performance through video in real-time. Your success in this role will be marked by your ability to deliver scalable, robust, and efficient machine learning solutions. You will be a key player in advancing the machine learning models that power our products, contributing significantly to the technological advancement of our platform.

What we offer:

• Competitive Salary + bonus (adjusted according to experience and achievements)
• Flexible and fast-paced environment
• Team events in very cool locations
• Shaping the future of sports
• Other agreed tailored benefits to your needs

Responsibilities:

• Technical Research and Model Development:
  Proactively research and implement cutting-edge machine learning models, especially in the areas of computer vision and deep learning, contributing to continuous improvements in our AI-driven solutions.
• Data Pipeline and Model Training:
  Design and build scalable data pipelines, manage training and testing of models, and ensure models are optimized for real-time performance.
• End-to-End Machine Learning System Management:
  Oversee the specification, development, training, deployment, and continuous monitoring of machine learning models to ensure they are performant and reliable in production environments.
• Code and Model Quality Assurance:
  Conduct thorough model evaluations and code reviews, sharing best practices with the team to maintain high-quality standards.
• Collaborative Teamwork:
  Work closely with product managers, data scientists, and engineers to integrate AI solutions into the broader system, ensuring seamless and reliable functionality.
• Performance and Security:
  Focus on optimizing model performance, minimizing latency, and ensuring adherence to security standards in handling user data.
• Innovation and Continuous Learning:
  Stay updated on emerging trends in machine learning, AI, and related technologies, and apply innovative solutions to enhance our AI capabilities and development workflows.

Minimum Qualifications:

• Education Background:
  Master's degree in IT Engineering, preferably from leading Portuguese universities (e.g., University of Minho, FEUP, IST).
• Professional Experience:
  1-3 years of experience working with machine learning algorithms, with a particular focus on computer vision and deep learning techniques.
• Technical Expertise:
  Strong experience with Python and popular machine learning frameworks such as TensorFlow, PyTorch, or JAX.
• Cloud Experience:
  Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), for deploying and scaling AI models.
• Language Proficiency:
  Fluent in Portuguese and English.

Nice-to-have:

• Contributions to public GitHub repositories with relevant projects.
• Hands-on experience with video processing and real-time model deployment.
• Proactive and eager to solve complex challenges within a fast-paced environment.

How to Apply:

Please fill out the form at:

Join us in shaping the future of sports and gaming through innovative solutions.

About Uphold
Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries.

Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone.

To learn more about Uphold, please visit

The Opportunity
Uphold is looking for a Machine Learning Engineer to join our Data team. This is an incredibly exciting opportunity where you'll get to join a team of engineers, scientists, and analysts who are passionate about data and technology with a great sense of collaboration and responsibility.

As a key member of our dynamic Data Team, you will play a crucial role in the development, deployment and maintenance of machine learning (ML) systems in production. You'll be working on a wide-range of use-cases including unsupervised and supervised machine learning and LLM-based solutions, from retrieval augmented generation (RAG) systems to agentic workflows. You will ensure the robustness and scalability of such systems, critical to support our product and/or internal processes.

At Uphold, you will be able to work in a very fertile environment to bring your ideas to life, while integrated in a fast-paced industry.

What You'll Be Doing Primarily

• Partner with Data Scientists and Data Engineers to deploy and maintain ML systems in production environments;
• Design and implement robust data pipelines and ML workflows using Python, SQL, Snowflake and AWS services;
• Build and maintain reusable components including feature stores, model registries, and experiment tracking systems;
• Implement best practices for monitoring model performance, data drift, and system health in production;
• Develop continuous integration and delivery (CI/CD) workflows for ML using tools like GitHub Actions or similar;
• Design and deploy LLM-based solutions such as retrieval-augmented generation (RAG) systems and intelligent AI agents using LLM frameworks such as LangChain, AutoGen or CrewAI;
• Collaborate with Product Managers and fellow Engineers to bring ML systems to life as product features;

Required Qualifications

• Bachelor's degree in a quantitative field such as Computer Science, Software Engineering, Data Science or related field.
• At least 2 to 3 years of professional experience working with ML in production environments.
• Good knowledge of ML algorithms, data pipelines and engineering best practices.
• Experience using cloud-based architectures for deploying ML solutions.
• Familiarity with experiment tracking and model registry tools such as MLflow or SageMaker.
• Good understanding of Large Language Models and generative AI foundations.
• Good knowledge of the software engineering best practices.
• Strong knowledge of Python and SQL.
• Experience working with data warehousing solutions and leveraging models in a cloud-based environment.
• Ability to lead small projects from conception and design through implementation to delivery and communication.
• Creativity, curiosity, and a growth mindset.
• Team player with the ability to work within cross-functional teams.
• Fluent written and oral English skills.

Bonus If You Have

• Advanced degree preferred.
• Exposure to MLOps tools (e.g. Kedro, MLflow, feast, Kubeflow, Sagemaker).
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (e.g. Kubernetes, Terraform).
• Experience working with database systems such as PostgreSQL and Snowflake.
• Open-source project contributions of any kind, such as tools developed to solve specific problems you've had or fixing issues on existing projects.

Importantly, if you're looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities.

What We Have To Offer You

• An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep innovating and challenging more each day.
• An international team, in a cutting-edge field, working on the most fascinating projects.
• Growth and career opportunities, and the chance to be proactive and creative.
• A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
• Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
• Interesting events that keep you connected with the team and celebrate our success.

Be part of a great company that is revolutionizing financial services. Apply now

EEOC Employer

We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us better.

WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade
.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom , Property24.

Join OLX and see how far you can go
.

JOIN OUR ML TEAM
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.

In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What You Will Be Doing

• Work in the Data Science team focusing on the Motors vertical.
• You will help build the infrastructure needed to create agents as well as models, refine them for optimal performance, test them, and eventually deploy them to production.
• You will see your work in action and measure the true impact of your models on our platform.
• You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner.
• Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers).
• Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
• Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania.
• Most importantly, you will have fun working with us :)

Who We Are Looking For

• At least 2 to 3 years of professional experience as an MLE
• Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
• Good knowledge of the best engineering practices
• Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
• Experience with serving machine learning models at scale
• Excellent knowledge of Python
• Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Nice To Have

• Exposure to MLOps tools
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform
• Understanding of A/B testing and experimentation

Our Hiring Process

• Recruiter Interview
• Hiring Manager Interview
• Live Coding Interview
• System Design Interview

Our Benefits

• Permanent contract
• Salary + annual bonus up to 15% of your annual gross salary
• Work with and impact all OLX websites around the world
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Lisboa)

Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our
Privacy Statement
.