Senior AWS Data Engineer - Lakehouse & Spark Pipelines
Technopride Ltd
Greater London
On-site
GBP 75,000 - 95,000
Full time
14 days+
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Job summary
A leading tech solutions provider in London is seeking an experienced Senior Data Engineer to help shape the architecture of a next-generation data platform. Responsibilities include designing scalable data pipelines, implementing ETL processes, and orchestrating workflows using AWS. The ideal candidate will have over 10 years of experience in engineering and a strong background in cloud-native technologies. Competitive compensation and a collaborative work environment offered.
Qualifications
10+ years of hands-on engineering experience required.
Experience writing clean, maintainable code using modern practices.
Solid understanding of data pipelines and ETL processes.
Responsibilities
Design and develop scalable, testable data pipelines using Python.
Implement batch workflows and ETL processes per modern standards.
Orchestrate data workflows using AWS services.
Build monitoring and observability into data flows.
Skills
Python programming
Data engineering fundamentals
Apache Spark
AWS services (S3, Glue, Lambda)
Agile environment experience
Tools
Apache Spark
AWS Glue
CI/CD tools
Job description
A leading tech solutions provider in London is seeking an experienced Senior Data Engineer to help shape the architecture of a next-generation data platform. Responsibilities include designing scalable data pipelines, implementing ETL processes, and orchestrating workflows using AWS. The ideal candidate will have over 10 years of experience in engineering and a strong background in cloud-native technologies. Competitive compensation and a collaborative work environment offered.