Negotiable
Undetermined
Remote
United Kingdom
Summary: The Data Engineer/Lead role focuses on leveraging Azure Data Factory and SQL expertise to build and optimize data infrastructure and analytical solutions. The position requires a skilled professional with over 6 years of experience to transform raw data into actionable insights and support various business functions. Key responsibilities include developing complex SQL queries, designing scalable data models, and ensuring data accuracy through validation and testing. The role offers the possibility of remote work from anywhere in the UK.
Key Responsibilities:
- Develop, optimize, and maintain complex SQL queries for data extraction, transformation, and loading (ETL/ELT) processes within Azure Data Factory.
- Design and implement scalable data models and schemas in Snowflake to support analytical reporting and business intelligence initiatives.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Perform data validation, testing, and quality assurance to ensure data accuracy and integrity.
Key Skills:
- Expertise in Azure Data Factory.
- Strong SQL skills.
- Experience with ETL processes.
- Minimum of 6 years of experience in data engineering.
- Knowledge of Snowflake for data modeling.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role Title: Data Engineer / Lead (ADF , Strong SQL and ETL) Possibility of remote work: Yes Contract duration: 6 months Location: Remote from anywhere in the UK
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JOB DETAILS
Required Core Skills: Azure SQL ETL Minimum years of experience: 6+ years
Job Description: We are seeking an 6+ year skilled and highly motivated Data professional with expertise in Azure Data factory and SQL to help us build, maintain, and optimize our data infrastructure and analytical solutions. You will be instrumental in transforming raw data into actionable insights, supporting various business functions.
- Develop, optimize, and maintain complex SQL queries for data extraction, transformation, and loading (ETL/ELT) processes within ADF.
- Design and implement scalable data models and schemas in Snowflake to support analytical reporting and business intelligence initiatives.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Perform data validation, testing, and quality assurance to ensure data accuracy and integrity.