DATA SCIENTIST SENIOR

Decskill; Lisboa; On-site; EUR 48,000 - 75,000; Full time

Job summary

Decskill is seeking an Azure Data Engineer to join our Lisbon team. You will work on data engineering projects, cloud-based data platforms, and production ML workflows, collaborating with global teams to deliver value through data-driven solutions.

The ideal candidate has deep experience with Python, relational and NoSQL databases, ML frameworks (TensorFlow, PyTorch), and GenAI integrations, plus strong English communication.

Qualifications

• Up to 10 years of experience in the role.
• Degree in Software Engineering or Computer Engineering or related field.
• Good written and verbal communication skills.
• Knowledge of the Energy & Utilities market and GDPR.
• Ability to work in a collaborative environment with global teams.
• Experience with Agile methodology, JIRA, and Confluence.
• Experience in strategic projects.
• Language proficiency: English required; Portuguese and Spanish plus.

Skills

Azure

Python

Machine Learning

GenAI integration

NoSQL databases

SQL databases

English proficiency

Portuguese language

Spanish language

JIRA

Confluence

Education

Software/Computer Engineering degree

Tools

TensorFlow

PyTorch

Keras

Caffe

Azure Cloud

JIRA

Confluence

Job description

Decskill was founded in 2014 as an IT Consulting Company and their main mission is to delivery value through the knowledge. We enable companies to meet the chalenges of digital world by providing our clients with business models that ensure technological capacity, flexibility and agility. We are more than 500 consultants with offices in Lisbon, Porto and Madrid.

DECSKILL operates in 3 main areas:

• DECSKILL TALENT: Through which we provide our clients with an extension to their IT teams;
• DECSKILL BOOST: Through which we provide our client with software development models to increase capacity and optimize Time-to-Market, where we create and manage teams that deliver according to their needs, at the desired speed;
• DECSKILL CONNECT: Through which we provide our client with consulting services, as well as the implementation and management of information technology infrastructures.

Our practice results in the creation of value for our customers, either by delivering qualified and value-added services, or through highly qualified and motivated professionals, as well as technology solutions that allow us to operate and transform the business of our customers.

We are searching for a Azure Data Engineer!

RESPONSABILITES & REQUIREMENTES:

• Up to 10 years of experience in the role required for the service.
• Degree in Software Engineering or Computer Engineering or related field.
• Good written and verbal communication skills.
• Knowledge of the Energy & Utilities market and GDPR. (PLUS)
• Ability to work in a collaborative environment with global teams.
• Critical analysis skills focused on problem-solving.
• Knowledge of Agile methodology, JIRA, and Confluence. (PLUS)
• Commitment to quality deliverables.
• Experience in strategic projects. (PLUS)
• Language proficiency (written and spoken): English (required), Portuguese (PLUS), and Spanish (PLUS)
• Experience with relational and NoSQL databases.
• Experience developing machine learning projects (Python, R, or SAS), deploying models to production environments, and managing the model lifecycle.
• Experience with machine learning frameworks. (Ex. PyTorch and Tensorflow).
• Highly valued: Experience developing analytical solutions involving AI.
• Valued: Previous experience implementing interactive data visualization solutions for presenting complex results.
• Highly complex analytical models (combinatorial models, deep learning on structured and unstructured data at rest).
• Code implementation (R, Python) and/or proficient use of PaaS cloud services (Azure preferred) and advanced analytics libraries (TensorFlow, Keras, Caffe, PyTorch).
• Models or applications capable of integrating GenAI (such as LLMs or diffusion models) into real-world workflows, such as text generation, summarization, contextual classification, image creation, autonomous agents, or intelligent co-pilots.
• Robust pipelines involving preprocessing, fine-tuning of base models (e.g., LLaMA, Mistral, T5), evaluation with specific metrics (such as BLEU, ROUGE, perplexity), and controlled deployment (e.g., via API) demonstrate technical mastery and good machine learning engineering practices geared towards GenAI.

Thank You!

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 being.