Project specification
Project expertise
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.
Not applying this time?
Get notified about similar projects matching your experience.
Frequently asked questions
The project is based in Berlin, Germany and is fully remote.
The project preferably starts in July 2025 and is planned to end in October 2025 (3 months).
The project requires a commitment of 100% capacity (full-time).
The project is 100% remote. You can work from any location.
The project offers a daily rate of 880 - 1160€ which breaks down to an hourly rate of 110 - 145€/h.
The project requires the following languages: German (Native) and English (Advanced).
The project is related to the following industry: Retail.
The project covers the following business areas: Business Intelligence and Information Technology.
Yes! Recommend a freelancer for the project and earn 30% of FRATCH's profits every time they get placed — for the duration of that project. Simply share your invite link with a colleague to get started.
To apply for the project, click the Apply button on the project page to submit your profile for review. We will forward your resume to the client and get back to you within a few days.
Join other experts who are already part of our network
