56 Empregos para Ciência De Dados - Portugal

Would you like to join a rapidly expanding company?

What if we told you that, in just 18 years, PrimeIT has grown to 2,360 employees?

Imagine being part of this story.

Discover the 10 benefits of being a Primer ( and see why we are much more than just a technology company.

We are looking for a Big Data Platform Administrator (not a Data Engineer) with:

• Experience administering and supporting Cloudera-based Hadoop clusters (on-premise)

• Strong background in patching, upgrades, and lifecycle management of big data platforms

• Knowledge of resource allocation, performance tuning, and hardware optimization

• Experience with Kerberos authentication, Ranger/Sentry policies, and TLS encryption

• Collaboration skills with infrastructure teams (network, storage, security)

• Automation experience using Ansible, Python, or Java scripting

• Strong troubleshooting skills in YARN, Kafka, and HDFS services

• Familiarity with Linux administration, JVM tuning, and system-level debugging

• Knowledge of PostgreSQL and SQL databases

• Understanding of microservices and on-premise architectures

Location: Lisbon - If you are from EUROPE, BRAZIL or TUNISIA and are willing to come to lisbon you can apply!

Project Type: Portugal, Lisbon - Hybrid!

Level of Experience: Senior (6+ years) + Mid (3-6 years)

Salary Package & Benefits: €1,200 to €2,000 (salary base) + Food Allowance + Flex Benefits

Need more reasons?

Send your CV to and find out how far your career can go at PrimeIT!

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

Your connection with Aubay starts in the following lines:

Aubay Portugal is a multinational French company, in Portugal since 2007. We have offices in Lisbon and Oporto and we are a specialized consultant in Management, Implementation, Development and Maintenance of Information Systems. We have more than 150 active partners and we operate in sectors such as banking, insurance, telecommunications, services, energy and transports.

What are we looking for?

• +5 years of hands-on experience designing and implementing scalable machine learning products;
• Solid understanding of ML algorithms, pipelines, and data transformation processes;
• Proficiency in Python, SQL, and software design patterns;
• Proven experience deploying ML solutions within microservices architectures in production environments;
• At least 2 years of experience working with GCP tools in ML workflows (Vertex AI, BigQuery, Cloud Composer, Cloud Storage);
• Demonstrated expertise with LangChain, NLP, LLMs, RAGs, and embedding models;
• Strong background in MLOps, automation, and CI/CD for ML workflows;
• Experience with testing methodologies (unit, integration, end-to-end) and proficiency in Docker and Kubernetes;
• Experience mentoring and guiding other ML developers (is a plus);
• Background in the Retail or eCommerce sector (is a plus);
• Familiarity with server-driven architectures and advanced search agents (is a plus);
• Strong focus on automation and AI productivity tools (is a plus);
• Willingness to work in a
  hybrid regime in Lisbon, Braga, or Coimbra
  (mandatory);
• Fluency in English, spoken and written (mandatory).

What do we have to offer you?

• Health Insurance;
• Feedback&Coffee – the system that includes Aubay's Performance Management Cycle, with regular moments of feedback and the Career Progression Model;
• Working model: hybrid;
• A Training Academy designed to think of you and your needs. You can count on technical and behavioural training sessions (e-Learning and classroom), Meet&Techs, Webinars and Mentoring;
• Events and Teambuildings.

What makes us different?

• Our organizational culture is based on values such as transparency, team spirit, regular feedback and continuous learning;
• Reference prizes and birthday present;
• We don't have a dress code;
• We know your name and all address each other informally;
• You will grow in good company.Isn't this one of the ways in which to develop professionally?

If we got your attention, we now hope to spark your enthusiasm. Ready for the first phase?
We are waiting for you

Personal Data collected by AUBAY PORTUGAL as Data Controller, regarding the identification, contact and professional capabilities of the candidates, in the present procedure, will be processed for the application analysis, having in consideration that the processing is conducted in order to to take the steps, at the request of the data subject, prior to entering into a contract;

Personal data sent through the present application will be kept by Aubay during the application procedure and will remain stored whilst updated (for two years period).

The collected data might be transferred or include other processing actitivites, as long as the data subject is informed, in the occurrence of a standard application and selection procedure, for the compliance of legal obligations for the time required by law.

For any queries or request regarding personal data protection rights, the Data Subject may contact AUBAY PORTUGAL's headquarters in Avenida Duque D`Ávila, nº46 em Lisboa or use the DPO's e-mail - The Data Subject also has the right to file a complaint with the National Data Protection Authority –

(please do not include data regarding racial or ethnical origins, political opinions, religion, philosophy, biometrical data, health data, sexual life and orientation, or relating to o criminal convictions and offences.)

Are you passionate about scaling Machine Learning Models and making sure that the Business KPIs are being checked? We are looking for a ML Engineer!

Before getting to all that you need to know about this opening I need you to understand that even though we are a portuguese company (you'll find more info about us below), this project will demand a lot of English interactions, therefore is really important that you understand, write and are able to speak it fluently.

What will you be doing?

• Design Machine Learning, Inference and CI/CD pipelines
• Design and optimize ambience packages for infrastructure configuration of each ML and Inference Pipeline
• Monitor and reduce operational risks of data or model drift

What will you have to deliver?

• SQL, Python or Scala, Spark snippets
• Machine Learning and hyper-parameter optimization
• CI/CD pipelines for Analytics with MLOps
• Inference pipelines monitorization schemes
• Datasets Access configuration through ML Pipelines

What checkboxes should you fill?

• 5-10 year of experience in similar role
• Bachelor in Software Engineering or similar
• Agile Methodologies, JIRA and Confluence
• Technical Knowledge of SQL, Python, Scala
• Technical Knowledge of Spark: RDD, Dataset, Streaming APIs and Spark MLib
• Knowledge of MLOps and CI/CD pipelines
• Knowledge of Feature Engineering, Machine Learning Techniques and Hyper-Parameter Optimization

If you feel like sending something custom and special, you can contact me at .

--

ABOUT PRIMEIT

PrimeIT is a leading company with 20 offices around the globe and with over 18 years of experience in providing IT, Telecommunications, and Engineering technological services.

Specialized in Team Extension, Managed Services, Custom Software, and Nearshore, we currently have a team of over 2350 professionals collaborating on national and international projects across various technologies and countries.

LISBOA | PORTO | MADRID | BARCELONA | PARIS | LYON | NANTES | LILLE | AIX-EN-PROVENCE | BORDEAUX | GRENOBLE | GENÈVE | KATOWICE | WARSZAWA | LONDON | SÃO PAULO

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals.

The 3 G’s of RE:

“Get Shit Done.”

“Get Over Shit.”

“Give a Shit.”

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

Responsibilies:

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability.
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions.
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python.
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline.

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial.
• Embrace change with a positive outlook.
• Confident to challenge, and receptive to being challenged.
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

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

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry's leading companies, our global talent has helped many clients achieve their goals.

The 3 G's of RE:

"Get Shit Done."

"Get Over Shit."

"Give a Shit."

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

Responsibilies:

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability.
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions.
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python.
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline.

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial.
• Embrace change with a positive outlook.
• Confident to challenge, and receptive to being challenged.
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Are you passionate about scaling Machine Learning Models and making sure that the Business KPIs are being checked? We are looking for a ML Engineer!

Before getting to all that you need to know about this opening I need you to understand that even though we are a portuguese company (you'll find more info about us below), this project will demand a lot of English interactions, therefore is really important that you understand, write and are able to speak it fluently.

What will you be doing?

• Design Machine Learning, Inference and CI/CD pipelines
• Design and optimize ambience packages for infrastructure configuration of each ML and Inference Pipeline
• Monitor and reduce operational risks of data or model drift

What will you have to deliver?

• SQL, Python or Scala, Spark snippets
• Machine Learning and hyper-parameter optimization
• CI/CD pipelines for Analytics with MLOps
• Inference pipelines monitorization schemes
• Datasets Access configuration through ML Pipelines

What checkboxes should you fill?

• 5-10 year of experience in similar role
• Bachelor in Software Engineering or similar
• Agile Methodologies, JIRA and Confluence
• Technical Knowledge of SQL, Python, Scala
• Technical Knowledge of Spark: RDD, Dataset, Streaming APIs and Spark MLib
• Knowledge of MLOps and CI/CD pipelines
• Knowledge of Feature Engineering, Machine Learning Techniques and Hyper-Parameter Optimization

If you feel like sending something custom and special, you can contact me at

--

ABOUT PRIMEIT

PrimeIT is a leading company with 20 offices around the globe and with over 18 years of experience in providing IT, Telecommunications, and Engineering technological services.

Specialized in Team Extension, Managed Services, Custom Software, and Nearshore, we currently have a team of over 2350 professionals collaborating on national and international projects across various technologies and countries.

LISBOA | PORTO | MADRID | BARCELONA | PARIS | LYON | NANTES | LILLE | AIX-EN-PROVENCE | BORDEAUX | GRENOBLE | GENÈVE | KATOWICE | WARSZAWA | LONDON | SÃO PAULO