Data Scientist & Fullstack Data Engineer

Decskill; Lisboa; On-site; EUR 42,000 - 70,000; Full time

Job summary

Decskill is expanding its data team in Portugal. We seek a Data Scientist & Fullstack Data Engineer to design, develop, deploy and maintain data analytics apps on an AWS cloud platform using Python and SQL.

You will operate in a small, dynamic team, collaborate with business units, and contribute to architecture discussions, PoCs and production deployments. Fluent English is mandatory.

Qualifications

• Bachelor's degree in Software or Computer Engineering or related field.
• Experience with Python for data manipulation and processing.
• Experience with SQL and data analysis on production systems.
• Familiarity with relational and NoSQL databases.
• Fluent English is mandatory.

Responsibilities

• Develop end-to-end features on a cloud-based Big Data platform (AWS) for data analysis and processing.
• Participate in architecture discussions, defining data flows for new features.
• Develop PoCs to validate technical approaches and solutions.
• Create production-ready solutions and perform testing.
• Deploy solutions across development, QA, and production environments.
• Monitor operations, debugging, troubleshooting, and maintenance.
• Document features, solutions and processes.
• Provide data extraction and exploratory data analysis support.
• Collaborate with technical and business teams to solve problems.
• Contribute to improving data solution quality, performance and reliability.

Skills

Python

SQL

Git

Fluent English

Agile methodologies

JIRA

Confluence

Relational databases

NoSQL databases

Education

Bachelor's degree in Software/Computer Engineering

Tools

AWS

Apache Spark / PySpark

Jupyter Notebooks

CloudFormation / CDK

Job description

We are growing. And we are looking for talented people.

At Decskill, we believe that technological excellence is driven by human talent.

We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.

As part of the Astek Group, we combine a strong local culture with a global presence, being active in around 23 countries across 4 continents. This allows us to offer an international context, diverse challenges, and long-term career opportunities, while staying close to our teams.

Data Scientist & Fullstack Data Engineer!

Mission

The ideal candidate has experience with Python and SQL and is capable of developing, operating, and maintaining data analytics applications on a cloud-based Big Data platform in AWS. The candidate should have an interest in Data Science, be able to work independently and proactively, and collaborate effectively within a small and dynamic team.

Responsabilities:

• Develop end-to-end features on a cloud-based Big Data platform (AWS), focused on data analysis and processing.
• Actively participate in the architecture discussions, defining the data flows and processes required for new features.
• Develop Proofs of Concept (PoCs) to validate technical approaches and solutions.
• Develop production-ready solutions and perform testing.
• Deploy solutions across development, quality assurance, and production environments.
• Monitor the initial operation of deployed solutions and perform debugging, troubleshooting, and maintenance.
• Document the features, solutions, and processes developed.
• Provide support with data extraction and exploratory data analysis.
• Collaborate with technical and business teams to identify and solve problems.
• Contribute to the continuous improvement of the quality, performance, and reliability of data solutions

Requirements

Technical Skills and Experience

• Up to 5 years of professional experience in the role to be contracted.
• Bachelor's degree in Software Engineering, Computer Engineering, or a related field.
• Experience with Python, particularly for data manipulation and processing.
• Experience with SQL.
• Experience in programming, debugging, and technical problem-solving.
• Experience with relational and NoSQL databases.
• Experience developing and/or operating applications in production environments.
• Experience with model deployment to production environments and model lifecycle management.
• Interest in and knowledge of Data Science.
• Knowledge of Git.
• Knowledge of Agile methodologies, JIRA, and Confluence.
• Strong written and verbal communication skills.
• Fluent English is mandatory.

Nice-to-Have Skills

• Experience with AWS cloud services, such as: S3, Lambda, Athena, EC2, Glue, CDK / CloudFormation, Step Functions, Batch, Fargate.
• Experience with Apache Spark / PySpark.
• Experience with Jupyter Notebooks.
• Knowledge of GDPR.
• Experience working in global and multicultural teams.

Soft Skills

• Proactive mindset and strong initiative.
• Ability to work independently and autonomously.
• Strong analytical and critical-thinking skills, with a problem-solving mindset.
• Ability and willingness to independently research and identify solutions to technical challenges.
• Strong teamwork and collaboration skills.
• Willingness and motivation to learn new technologies and develop new skills.
• Strong commitment to the quality of deliverables.

Are you looking for an environment that values curiosity and commitment? Here, your contribution has real impact and individual growth is taken seriously.

Find with us the right opportunity to grow!

What you can expect from us:

• Long-term projects with national and international context (if applicable)
• Opportunities to grow technically and professionally
• A people-first culture, focused on transparency and trust
• Teams that value ownership, collaboration and stability.

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.