Lisboa, Lisboa, Portugal
Open 4 months, first seen by us 134 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and maintain scalable data solutions for AI applications and analytics
Build and optimize semantic data models with trusted metrics
Support AI initiatives through LLM integration, prompt engineering and RAG
Provide technical leadership through mentoring, code reviews and architecture guidance
Apply causal inference and advanced analytics to generate business insights
Design and maintain scalable data solutions that support AI applications and advanced analytics.
Build and optimize semantic data models, ensuring high-quality, trusted metrics for business and AI consumption.
Support AI initiatives through LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).
Provide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.
Apply causal inference and advanced analytical techniques to generate meaningful business insights.
Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.
5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.
Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.
Strong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.
Experience working with Generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG), and evaluating LLM outputs.
Qualifications - Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field. - 5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
Open 4 monthsWe first saw this posting 134 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 134
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Devoteam’s usual: its jobs come down by about day 22.
From 13,630 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.
44 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI. - Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic. - Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.
- Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic. - Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications. - Strong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.
- 5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles. - Strong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI. - Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
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Lisboa, Lisboa, Portugal
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