Decskill, founded in **** 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 an Backend Engineer | Data Layer!
Responsabilities:Design, implement, and maintain data pipelines for complex enterprise SaaS applications.Integrate with and manage data from platforms such as Databricks, Snowflake, PowerBI, Tableau, and other ETL systems.Develop and maintain Python codebases for data ingestion, transformation, and modeling.Collaborate with backend, product, and analytics teams to deliver business-critical data features.Optimize data models and storage for performance, scalability, and reliability.Ensure data quality, integrity, and security across all data flows.Monitor and troubleshoot data pipelines and participate inRequirements:Experience building and maintaining the data layer for large-scale, enterprise SaaS applications.Proficient in Python and familiar with data modeling concepts.Hands-on experience with at least one data platform (Databricks, Snowflake, PowerBI, Tableau, or similar).
Experience with ETL pipeline development and orchestration.Familiarity with cloud platforms (AWS, Azure, or GCP) and their native data services.Strong understanding of data quality, governance, and security best practices.Fast learner, able to pick up new technologies and adapt to evolving requirements.Clear communicator, capable of working effectively with cross-functional teams.Ownership mindset; takes responsibility for end-to-end delivery and reliability.Experience with multiple data platforms or multi-cloud environments.
PLUSExposure to backend development (TypeScript, GraphQL) or infrastructure automation (Terraform, CI/CD).
PLUSExperience in high-growth or product-focused SaaS companies.
PLUSFamiliarity with AI/ML data pipelines.
PLUSWe look for engineers who add new skills or perspectives to the team.Technical fundamentals, learning ability, and ownership are prioritized over credentials.Clear communication and problem-solving are key.If you meet the criteria above and are motivated to work on challenging data problems with real impact, we encourage you to apply.Fluent English (spoken and written – important).
If you're interested in this job, please send your CV to ****** with reference "CA/DataLayer".
Thank You!