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Time's up! We are no longer accepting applications.
(Senior) Cloud Data Engineer (m/f/d) with focus on Azure
Project info
- Period28.07.2025 - 28.10.2025
- Capacity100%
- Daily rate880 - 1160€
- LocationBerlin, Germany
- Languages
- German(Native),
- English(Advanced)
- German
- Remote100%
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.