Senior Data Engineer & Architect (Hybrid)

Accenture PLC

Barcelona

Hybride

EUR 55 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Health insurance
Wellness programs
Stock purchase plans
Flexible hours

Résumé du poste

Accenture is leading the reinvention of businesses through technology and data, offering roles in Madrid or Barcelona with hybrid work. You will join a high-caliber team delivering advanced data architectures, ingestion, governance and scalable solutions for global clients across industries.

We value expertise in Python, PySpark, SQL/NoSQL, cloud platforms, and ML/AI with a strong collaborative culture. The role includes training paths, diverse teams and opportunities to impact operations and

Qualifications

  • Advanced programming in Python and PySpark (R optional).
  • Proficiency with SQL and NoSQL technologies.
  • Experience with Big Data tech like Spark, HDFS, Parquet.
  • REST APIs proficiency.
  • Experience with Public Cloud (AWS, Azure, GCP) or Private Cloud (Palantir, Splunk, Cloudera).
  • Snowflake experience is a plus.
  • CI/CD (DevOps, Git, Jira, IaC) exposure preferred.
  • ML/AI/DL with focus on MLOps (MLFlow, Prefect, TFX) is a plus.
  • Experience with Graph Databases (Neo4j) and data modelling.

Responsabilités

  • Ingest, quality, and ETL to design scalable data solutions.
  • Develop data models and architecture schemas for governance and data availability.
  • Collaborate with clients on data processing and management.

Connaissances

Python
PySpark
SQL
NoSQL
Spark
REST APIs
Public Cloud
Snowflake
CI/CD
ML

Formation

Bachelor's or Master's in CS/Data Eng/Math

Outils

HDFS
Parquet
Neo4j
Palantir
Snowflake

Description du poste

Accenture is leading the reinvention of businesses through technology and data, offering roles in Madrid or Barcelona with hybrid work. You will join a high-caliber team delivering advanced data architectures, ingestion, governance and scalable solutions for global clients across industries.

We value expertise in Python, PySpark, SQL/NoSQL, cloud platforms, and ML/AI with a strong collaborative culture. The role includes training paths, diverse teams and opportunities to impact operations and

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