Snowflake Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Engineer in Basildon, UK, on a contract basis (Inside IR35) with a pay rate of "TBD." Requires 5+ years of data engineering experience, proficiency in Snowflake, AWS, SQL, Python, and data migration expertise.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
June 6, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Basildon, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Quality #Cloud #Data Integration #Data Warehouse #Scala #Computer Science #Python #"ETL (Extract #Transform #Load)" #Data Engineering #dbt (data build tool) #StreamSets #S3 (Amazon Simple Storage Service) #Data Analysis #Oracle #Airflow #Data Migration #Lambda (AWS Lambda) #Data Modeling #RDBMS (Relational Database Management System) #Snowflake #Storage #Migration #Data Pipeline #Redshift #Datasets
Role description
Role - Snowflake Engineer
Location - Basildon, UK (Onsite)
Type - Contract (Inside IR35)
Job Description:
Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
- Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
- Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements.
- Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
- Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake.
- Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
- Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS
Qualifications:
- Bachelor’s degree in computer science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. >Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.)
- Hands on experience with Oracle RDBMS
- Data Migration experience to Snowflake
- Experience with AWS services such as S3, Lambda, Redshift, and Glue.
- Strong understanding of data warehousing concepts and data modeling.
- Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions.
- Understanding/hands on experience in Orchestration solutions such as Airflow
- Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability
Role - Snowflake Engineer
Location - Basildon, UK (Onsite)
Type - Contract (Inside IR35)
Job Description:
Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
- Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
- Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements.
- Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
- Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake.
- Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
- Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS
Qualifications:
- Bachelor’s degree in computer science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. >Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.)
- Hands on experience with Oracle RDBMS
- Data Migration experience to Snowflake
- Experience with AWS services such as S3, Lambda, Redshift, and Glue.
- Strong understanding of data warehousing concepts and data modeling.
- Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions.
- Understanding/hands on experience in Orchestration solutions such as Airflow
- Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability
