Summary: The Senior Data Consultant (Architecture & Engineering) role involves defining data architecture blueprints and developing ETL/ELT pipelines. The position requires collaboration with stakeholders and oversight of data governance and compliance. The consultant will work primarily in Finland and Sweden, focusing on data architecture and engineering tasks. This is a contract position with unspecified location details.

Key Responsibilities:

• Define the data architecture blueprint — including OneLake design, data models, and Fabric workspace structure.
• Select and standardize tools and technologies (e.g., Data Factory vs. Dataflows, Lakehouse vs. Warehouse).
• Design the data modelling strategy (bronze–silver–gold layers, dimensional modelling).
• Oversee governance, security, and compliance integration with Purview and Entra ID.
• Collaborate with Stakeholders, Business Owners etc.
• Develop ETL/ELT pipelines using Data Factory and Spark notebooks in the Data Engineering experience.
• Manage data ingestion from source systems to OneLake.
• Clean, transform, and optimize data in Lakehouses or Data Warehouses.
• Implement data quality checks and monitoring.

Key Skills:

• Experience in data architecture and engineering.
• Proficiency in ETL/ELT processes and tools like Data Factory and Spark.
• Knowledge of data governance and compliance frameworks.
• Ability to collaborate effectively with stakeholders.
• Strong understanding of data modelling strategies.

Salary (Rate): undetermined

City: undetermined

Country: Finland & Sweden

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Ref: #71148

Senior Data Consultant (Architecture & Engineering)

• Practice Data

• Technologies Business Intelligence Jobs and Data Recruitment

• Location , - None Specified -

• Type Contract

Senior Data Consultant (Architecture & Engineering)

Finland & Sweden

Data Architecture -

• Define the data architecture blueprint — including OneLake design, data models, and Fabric workspace structure.
• Select and standardize tools and technologies (e.g., Data Factory vs. Dataflows, Lakehouse vs. Warehouse).
• Design the data modelling strategy (bronze–silver–gold layers, dimensional modelling).
• Oversee governance, security, and compliance integration with Purview and Entra ID.
• Collaborate with Stakeholders, Business Owners etc.

Data Engineering -

• Develop ETL/ELT pipelines using Data Factory and Spark notebooks in the Data Engineering experience.
• Manage data ingestion from source systems to OneLake.
• Clean, transform, and optimize data in Lakehouses or Data Warehouses.
• Implement data quality checks and monitoring.