Data Engineer / Data Engineer M/F

Actual Switzerland
Geneva, Switzerland
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Geneva, Switzerland

Tech stack

Google BigQuery
Continuous Integration
Data Governance
Data Infrastructure
ETL
Data Warehousing
Document-Oriented Databases
Python
Power BI
SQL Databases
Tableau
Management of Software Versions
Data Ingestion
Snowflake
GIT
Data Lake
Data Analytics
Data Management
Looker Analytics
Software Version Control
Data Pipelines
Databricks

Job description

  • You support and lead the operational model change from PowerBI to Looker.
  • You will configure and maintain dashboards and visualisations in Looker, translating complex business needs into actionable KPIs. You will train users on how to best exploit the platform.
  • You will design and implement data marts, applying best development practices (version control, testing).
  • You will build and maintain ETL/ELT pipelines (Airbyte), ensuring seamless data ingestion into BigQuery (SQL tables and flat files).
  • You will monitor the health of the data platform, resolve quality issues and implement data governance as well as access controls dictated by the group strategy.
  • You will maintain and document data origins, ensuring that Looker remains a "single source of truth" for the organisation.

Requirements

  • Master's degree (Bac+5) in computer science, data or equivalent
  • 3 to 7 years of experience in Data Engineering or BI
  • Proficiency in SQL and good knowledge of Python
  • Knowledge of modern data architectures (data warehouse, data lake, data vault, medallion architecture)
  • Mastery of data analytics platforms
  • Experience with pipeline orchestration tools for transformation
  • English level minimum C1

Technical skills

  • Design of ETL / ELT pipelines
  • Proficiency in SQL and Python
  • Experience with data platforms (Snowflake, BigQuery, Databricks )
  • Knowledge of Data Warehouse / Data Lake architectures
  • BI tools (Power BI, Tableau or equivalent) appreciated
  • Versioning with Git and CI/CD practices, * Analytical mind and attention to detail
  • Autonomy and rigour
  • Ability to work in a team
  • Technological curiosity and proactivity
  • Good interpersonal skills

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