Databricks Architect

vor 2 Wochen

Basel, Basel-Stadt, Schweiz CLEEVEN Vollzeit CHF 80'000 - CHF 120'000 pro Jahr

Cleeven is a European consulting firm founded on two core beliefs:

  • The excellence of European engineers must be a driving force for global competitiveness
  • Our human mission: to support our consultants in their personal and professional growth

As part of a strategic
data platform initiative
within a leading industrial group, we are looking for an
Azure Data Engineer
to help design and implement a scalable, governed, and analytics-ready data ecosystem based on the Azure stack.

Mission Objectives :

  • Support the company in adopting a
    data-driven approach
    for both business and engineering decisions
  • Build a
    unified data platform in Azure Databricks
    where data from multiple systems becomes consistent, traceable, and ready for analytics
  • Automate the
    ingestion of structured data
    into the
    Bronze layer
    of the Azure Data Lake (ADLS Gen2)
  • Develop
    cleaned and harmonized Delta tables
    in the
    Silver layer
    , ensuring schema validation and data quality checks
  • Deliver
    aggregated, analytics-ready datasets
    in the
    Gold layer
    , serving BI dashboards and advanced reporting
  • Apply
    best practices
    such as partitioning, ACID transactions, Adaptive Query Execution, Z-ORDER optimization, and version control
  • Ensure
    governance and traceability
    of pipelines, transformations, and data changes through Azure DevOps
  • Collaborate closely with
    Data Engineers, Cloud Architects, and BI Analysts
    to align architectural decisions, clarify requirements, and prioritize delivery
  • Contribute to platform
    monitoring and alerting
    through Azure Monitor and Log Analytics

Key Skills :

  • Proven experience with
    Azure Data Factory
    (orchestration and ingestion)
  • Strong expertise in
    Azure Databricks
    ,
    Delta Lake
    , and performance optimization techniques
  • Solid understanding of
    Azure Data Lake (ADLS Gen2)
    and multi-layer architecture (Bronze/Silver/Gold)
  • Experience with
    Azure Synapse
    and
    Power BI
    for data serving and visualization
  • Familiarity with
    Azure DevOps
    (CI/CD, version control)
  • Knowledge of
    data governance, data quality, and schema management
  • Proficiency in
    Python
    and
    SQL
    for data transformation and validation
  • Understanding of
    data modeling principles
    and
    ETL/ELT best practices

Profile :

  • Master's degree (or equivalent) in computer science, data engineering, or information systems
  • Minimum
    5 years of experience
    in data engineering, ideally within Azure environments
  • Strong analytical mindset and problem-solving ability
  • Comfortable working in agile, collaborative, and international teams
  • English fluency required
    –
    German is a strong asset

See you soon

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