Full-Stack Data Engineer / Scientist - MLOps / DevOps (Full Remote)

About the Position

Full-Stack Data Engineer / Scientist – MLOps / DevOps (Full Remote)

CGM Consulting S.r.l. is seeking a Full-Stack Data Engineer/Scientist for a full remote position. This role requires a versatile professional capable of working across data analytics, data science, data engineering, and MLOps/DevOps. You will be responsible for data collection and modeling, ETL/ELT pipelines, machine learning, data visualization, and observability/quality/lineage, translating complex requirements into clear solutions for both technical and non-technical stakeholders.

Responsibilities

• Define and maintain technical/production documentation.
• Design and develop ETL/ELT pipelines and data-driven cloud environments.
• Model data for analysis and train/model ML when useful for the use case.
• Build user-friendly and maintainable dashboards/reports.
• Set up observability (metrics/logs/traces), data quality, and lineage on key domains.

Requirements

• Core Skills:
  • SQL and Python (solid experience).
  • Documentation and requirement gathering (clarity and completeness).
  • ETL/ELT and workflow in cloud environments; data modeling for analytics/ML.
  • Basic/advanced ML modeling and data visualization.
  • Observability, data quality, and data lineage (principles and tools).
  • Soft skills: proactivity, organized management under pressure, effective communication with technical and business stakeholders, curiosity beyond one's comfort zone.

Nice to Have

• Secondary Skills:
  • Git, Bash, orchestration (Argo Workflows or Apache Airflow).
  • Grafana or Tableau for monitoring/visualization.
  • Prometheus for metrics; Docker for packaging.
  • GCP or AWS; NoSQL basics.
  • Basic knowledge of Kubernetes and IaC (Terraform).

We Offer

• Buoni pasto (meal vouchers)
• Aziendale computer (company computer)

About the Company

CGM Consulting promotes an inclusive work environment and carefully evaluates candidates under articles 1 and 18 of Law 68/99.

Application

All applications will be evaluated. The searches refer to both genders (L. 903/77).

Apply now as a Full-Stack Data Engineer / Scientist.

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Tag annuncio: Airflow, AWS, Data Engineering, Data Science, Docker, ETL, Full Stack Data, GCP, Grafana, MLOps, Python, Tableau

Posizioni simili:

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Lavoro per città

Corsi in programma:

• Corso TypeScript, React e Next.js con l’AI – Online (248 ore)

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Connettiti!

CGM Consulting S.r.l.

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