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Staff Data Engineer

Sonar · Genève

New
Hybrid 🇬🇧 English
Python PySpark Databricks AWS Glue RedShift S3 CloudWatch Lambda CloudFormation CDK Terraform

Job description

About the role

We are looking for a Staff Data Engineer to join Sonar’s Data & ML Platform team. You will design and develop the data platform that supports product, marketing, sales and engineering domains, enabling data‑driven decisions across the company.

Key responsibilities

  • Design and implement data storage, transformation, and load capabilities for pipelines.
  • Continuously enhance the data platform and propose data handling services for stakeholders.
  • Build end‑to‑end pipelines including data cleaning, modelling and connectors to source systems.
  • Maintain up‑to‑date documentation of data flows across systems.
  • Collaborate on data governance, security standards and incident management.

Required profile

  • Solid software engineering experience focused on data engineering pipelines and cloud storage.
  • Motivated by both technical and functional aspects of services and able to work collaboratively.
  • Friendly, enthusiastic, organized team player who shares knowledge and receives feedback.

Required skills

  • Python for building ETL/ELT pipelines.
  • Experience with batch or streaming technologies (e.g., PySpark, Databricks).
  • AWS services such as Glue, RedShift, S3, CloudWatch, Lambda, CloudFormation.
  • Knowledge of data engineering concepts (Data Lake, Data Warehouse).
  • Infrastructure‑as‑code tools (CDK, CloudFormation, Terraform).
  • Fluent English communication.

What we offer

  • Hybrid work model with three mandatory office days per week.
  • Flexible work policy supporting work‑life balance.
  • Growth mindset with continuous learning opportunities.
  • Diverse and inclusive global workforce.

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Published 1 day ago

Expires 1 month from now

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Sonar

Genève