CareerPlanGet AI match score →

Full/stack Developer

Lisboa, Lisbon, Portugal💼 Full-time🗓 2026-06-06 → 2026-07-21

Core

Design and maintain data integration solutions, ETL processes, and front-end applications that support business analytics and data platforms.

Role type

Data Developer

Builds

Data pipelines, ETL processes, and front-end data applications

Domain

Cloud-based data engineering and business intelligence

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, Python, R, JavaScript, Azure, Databricks, Power BI, Git, REST APIs

Responsibilities

Develop and maintain robust data pipelines and ETL processes; Collaborate with data scientists, analysts, and business stakeholders to understand data needs; Optimize data workflows for performance and scalability in a cloud environment; Ensure data integrity, security, and compliance with internal standards; Contribute to the documentation and industrialization of data processes; Participate in the development of front-end applications that interact with data platforms.

Rewrite
## Company Description Inetum is a European leader in digital services. Inetum's team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum's solutions aim at contributing to its clients' performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023. ## Job Description Are you passionate about transforming data into actionable insights? Inetum is looking for a skilled Data Developer to support and enhance data solutions within a dynamic and cloud-based environment. ### 🔍 About the Role As a Data Developer, you will be responsible for maintaining and evolving data pipelines and applications that support advanced analytics and business intelligence. You'll work closely with cross-functional teams to ensure data quality, performance, and scalability across platforms. ### 🛠️ Key Responsibilities - Develop and maintain robust data pipelines and ETL processes. - Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver effective solutions. - Optimize data workflows for performance and scalability in a cloud environment. - Ensure data integrity, security, and compliance with internal standards. - Contribute to the documentation and industrialization of data processes. ### 💡 Technical Environment You'll work in a modern data ecosystem that includes: - **Languages & Tools:** SQL, Python, R, JavaScript - **Platforms:** Microsoft Azure, Databricks - **Technologies:** Power BI, Hadoop, Git, VS Code, REST APIs ### 📦 Deliverables - Design and maintain data integration solutions that support business applications and analytics. - Support the transformation and loading of structured and unstructured data from various sources. - Participate in the development of front-end applications that interact with data platforms. - Ensure smooth operation and continuous improvement of data service. ### ✅ Qualifications **What We're Looking For** - Proven experience in data development and cloud-based data platforms. - Strong knowledge of SQL and scripting languages such as Python or R. - Familiarity with Azure, Databricks, and data visualization tools like Power BI. - Ability to work in an international, collaborative environment. - Excellent problem-solving and communication skills in English.
Sourced via linkedin · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on LinkedIn ↗