
Technology Architect (Cloud Integration - Azure Data Factory)
Posted Today by eTeam Workforce Limited
Negotiable
Inside
Hybrid
London, UK
Summary: The Technology Architect role focuses on cloud integration using Azure Data Factory, requiring strong data engineering skills, particularly in PySpark and Databricks. The position is based in London with a hybrid working arrangement, involving 12 days in the office per month. The contract is for a duration of 6 months and falls under inside IR35 regulations.
Key Responsibilities:
- Develop and manage data pipelines and orchestration using Azure Data Factory.
- Implement data transformation processes and Medallion architecture with Databricks.
- Conduct end-to-end data engineering, including conceptual diagrams and models.
- Perform data modelling, including dimensional modelling and schema design.
- Utilize CI/CD practices with GitHub Actions/Workflows.
- Document source-to-target mapping and performance tuning during data transformation.
- Engage in requirement gathering and communicate effectively with clients and engineering teams.
- Collaborate with cross-functional teams to solve problems and manage technical projects.
Key Skills:
- Strong hands-on experience with PySpark.
- Proficiency in Azure Data Factory (ADF) and Databricks.
- Experience in data engineering and Medallion architecture using Azure services.
- Knowledge of data modelling techniques and tools like Erwin.
- Familiarity with CI/CD processes and tools.
- Proficient in Python, JSON, and YAML for configuration and pipelines.
- Ability to write KQL queries and perform Log Analytics (nice-to-have).
- Strong client-facing communication and problem-solving skills.
Salary (Rate): £387/day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Role: Technology Architect (Cloud Integration - Azure Data Factory)
Location: London (Hybrid - 12 days WFO/month)
Rate: 387 pounds/day on inside Ir35
Duration: 6 months
Must-Have Skills:
- PySpark - Strong hands-on data engineering experience
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Azure Data Factory (ADF) - Pipelines, orchestration
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Databricks - Data transformation & Medallion architecture
Technical Skills & Experience (10-15 Years):
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Data Engineering (end-to-end, including conceptual diagrams, models)
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Medallion Architecture using Azure services
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Data modelling: Dimensional modelling, normalization, data harmonization, schema design
-
Erwin for data modelling
-
CI/CD (GitHub Actions/Workflows)
-
Python, JSON, YAML for config & pipelines
-
Performance tuning during transformation
-
Source-to-target mapping documentation
-
KQL queries & Log Analytics (nice-to-have)
Soft Skills:
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Strong client-facing communication
-
Requirement gathering & explanation to engineering team
-
Problem-solving & technical project management
-
Collaboration with cross-functional teams