We are looking for an experienced
Data Engineer
to join an international technology project focused on building and evolving a data-processing platform that handles structured and unstructured information from multiple sources.

You will work on
multi-format data ingestion, data normalization, entity reconciliation, relational data modeling and classification workflows
, helping transform heterogeneous information into reliable and standardized datasets.

? What will you work on?
- Build and maintain Python pipelines for processing
Excel, PDF and XML
sources.
- Extract structured records and specification lists from Excel using
pandas and openpyxl
.
- Process unstructured requirements from PDF documents using
pypdf
.
- Parse XML documents securely using
defusedxml
, including protection against XXE vulnerabilities.
- Map raw source fields into a
canonical data model
.
- Normalize categorical and hierarchical attributes such as product line, variant, region and language.
- Reconcile inconsistent terminology and entity names using
fuzzy and approximate matching
.




- Maintain relational data models using
PostgreSQL and SQLAlchemy ORM
.
- Support and improve existing
scikit-learn classification workflows
.
- Retrain and evaluate models and adjust decision thresholds according to
precision, recall and F1 requirements
.

?️ What are we looking for?
- Strong professional experience with
Python
.
- Experience with
Django
for backend development and data-driven applications.
- Experience working with
pandas
and
openpyxl
.
- Experience processing or extracting information from
PDF and XML documents
.
- Knowledge of
data normalization, schema mapping and canonical data models
.
- Experience with fuzzy matching techniques, ideally using
rapidfuzz
.
- Strong knowledge of
SQL and PostgreSQL
.
- Experience with
SQLAlchemy ORM
.
- Practical experience with
scikit-learn classification workflows
.
- Understanding of classification metrics such as
precision, recall and F1-score
.
- Exp

📌 Data Engineer (Madrid)
🏢 Infoser Technological Solutions, Hardware, Big Data Experts
📍 Madrid