GCP Data Engineer
gb
Xcede
London, UK
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
Β£104,000.0
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Microsoft Azure
BigQuery
Continuous Integration
Information Engineering
Data Integration
Extract Transform Load (ETL)
Data Warehousing
Data Flow Control
Python (Programming Language)
SQL Databases
+10 more
Cloud Platform System
Azure Data Factory
Snowflake
Microsoft Fabric
Pyspark
Apache Kafka
Spark Streaming
Stream Processing
Data Pipelines
Databricks
Requirements
- Strong experience in Data Engineering across GCP, Azure and/or AWS.
- Hands-on experience with BigQuery, Databricks, Snowflake or Microsoft Fabric.
- Strong Python, SQL and PySpark development skills.
- Experience building scalable ETL/ELT pipelines and data integration solutions.
- Experience with DBT, Airflow, Azure Data Factory or Dataflow.
- Knowledge of data modelling, data warehousing and Lakehouse architectures.
- Experience with data quality, governance and CI/CD pipelines.
- Exposure to Kafka, Spark Streaming or real-time data processing would be advantageous.
Requirements:
- Ideally 7+ years of commercial Data Engineering experience.
- Strong hands-on technical background in cloud-based data platforms.
- Must be UK-based and available for occasional client office visits.
About the company
| Senior Data Engineer - GCP / Azure / AWS2 Contract Positions | Β£400 per day | Outside IR35 | Fully Remote (UK) |
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