Inetum is looking for a Data Engineer to join our team and help build scalable highquality data solutions that support asset management analytics and operational decisionmaking. If you enjoy transforming raw data into reliable pipelines and intuitive dashboards this role is for you.
As a Data Engineer you will:
- Develop robust data pipelines for ingestion processing and analysis of assetrelated data.
- Automate report generation by integrating data from multiple sources (databases spreadsheets APIs).
- Ensure automatic data updates and scheduled report delivery.
- Collaborate with data scientists to convert analytical notebooks and scripts into reusable software products.
- Build interactive dashboards using Streamlit to visualize operational KPIs.
Qualifications :
- 1 year of experience in data engineering software engineering or related fields.
- Strong experience with Python and familiarity with Pandas and Polars (desirable).
- Solid knowledge of SQL and integration with relational databases (SQL Server).
- Experience working with REST and SOAP APIs.
- Experience with FastAPI or Flask and good software engineering practices (CI/CD automated testing version control).
- Experience deploying analytical models and operationalizing machine learning pipelines.
- Experience with Azure DevOps for CI/CD.
- Familiarity with MLflow and Airflow for MLOps.
Additional Information :
- Location: Ermesinde
- Work Model: Hybrid
Remote Work :
No
Employment Type :
Full-time
Inetum is looking for a Data Engineer to join our team and help build scalable highquality data solutions that support asset management analytics and operational decisionmaking. If you enjoy transforming raw data into reliable pipelines and intuitive dashboards this role is for you.As a Data Enginee...
Inetum is looking for a Data Engineer to join our team and help build scalable highquality data solutions that support asset management analytics and operational decisionmaking. If you enjoy transforming raw data into reliable pipelines and intuitive dashboards this role is for you.
As a Data Engineer you will:
- Develop robust data pipelines for ingestion processing and analysis of assetrelated data.
- Automate report generation by integrating data from multiple sources (databases spreadsheets APIs).
- Ensure automatic data updates and scheduled report delivery.
- Collaborate with data scientists to convert analytical notebooks and scripts into reusable software products.
- Build interactive dashboards using Streamlit to visualize operational KPIs.
Qualifications :
- 1 year of experience in data engineering software engineering or related fields.
- Strong experience with Python and familiarity with Pandas and Polars (desirable).
- Solid knowledge of SQL and integration with relational databases (SQL Server).
- Experience working with REST and SOAP APIs.
- Experience with FastAPI or Flask and good software engineering practices (CI/CD automated testing version control).
- Experience deploying analytical models and operationalizing machine learning pipelines.
- Experience with Azure DevOps for CI/CD.
- Familiarity with MLflow and Airflow for MLOps.
Additional Information :
- Location: Ermesinde
- Work Model: Hybrid
Remote Work :
No
Employment Type :
Full-time
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