

GCP Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer, offering a contract length of "X months" at a pay rate of "$X/hour". Key skills include SQL Server, GCP services, DBT, and GitLab. Industry experience in data engineering is required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
440
-
ποΈ - Date discovered
August 9, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Dataflow #Data Analysis #SQL (Structured Query Language) #dbt (data build tool) #Python #Data Accuracy #Data Pipeline #Version Control #Data Extraction #GCP (Google Cloud Platform) #BigQuery #SQL Server #SQL Queries #Data Lake #GitLab #Data Engineering #Scala #Scripting
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Mandatory Skills: SQL SERVER
Desirable Skills: PYTHON, GCP DATA LAKE
Key Responsibilities:
1. Design, build, and maintain scalable data pipelines using GCP services and DBT.
1. Develop and optimize complex SQL queries for data extraction and transformation.
1. Collaborate with data analysts, engineers, and stakeholders to ensure data accuracy and availability.
1. Manage version control and CI/CD processes using GitLab for data engineering workflows.
Mandatory Skills:
1. Strong expertise in SQL Server for data development and management.
1. Hands-on experience with GCP services related to data engineering (e.g., BigQuery, Dataflow).
1. Proficiency in DBT with both SQL and Python scripting.
1. Experience with GitLab for source control and pipeline management.