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Reach out to us if you are interested in working with us on the project.
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(Senior) Cloud Data Engineer (m/f/d) with focus on Azure

Industry
Retail
Areas
Business Intelligence
Information Technology (IT)

Project info

  • Period
    28.07.2025 - 28.10.2025
  • Capacity
    100%
  • Daily rate
    880 - 1160€
  • Location
    Berlin, Germany
  • Languages
    • German
      (Native)
      ,
    • English
      (Advanced)
  • Remote
    100%

Description

Design and build a modern data platform in the Azure Cloud for an e-commerce company. Implement scalable data pipelines and a lakehouse architecture.

  • Typical responsibilities:
  • Design and implement ETL/ELT processes with Azure Data Factory/Databricks.
  • Build and manage data infrastructure (Data Lake, Synapse).
  • Develop data models and ensure data quality.
  • Automate deployments using IaC (Terraform).
  • Performance tuning and coordination with stakeholders.
  • Relevant technologies, tools & methods:
  • Azure Data Factory, Synapse, Databricks, Data Lake Storage.
  • Apache Spark, Delta Lake.
  • Python (PySpark), SQL.
  • Terraform, Azure DevOps.
  • Typical KPIs & success metrics:
  • Data latency, pipeline uptime (>99.9%), query performance, cost efficiency.
  • Key challenges & risks:
  • High data volumes, GDPR compliance, avoiding data silos.
  • Deliverables:
  • Production-ready data pipelines, structured data lake/warehouse, IaC scripts, technical documentation.

Requirements

  • Must-haves:
  • Extensive project experience as an Azure Data Engineer.
  • Deep knowledge of Azure Data Factory, Databricks or Synapse.
  • Strong Python and SQL skills.
  • Experience with Apache Spark and IaC (Terraform).
  • Nice-to-haves:
  • Azure certification (DP-203).
  • E-commerce experience.
  • Knowledge of data modeling (Kimball/Data Vault).
  • Personal traits & mindset:
  • 'You build it, you run it' mentality, pragmatic problem solving, team player.