Haystack
United Kingdom
New
Data Engineer
- AWS
- Cloud
- Data Warehousing
- Python
AI Summary
Seeking an experienced Data Engineer to own cloud data environments, pipelines, and architecture. Design and implement scalable data storage, ETL/ELT pipelines, and monitoring solutions. Requires 5+ years of experience, strong cloud data platform skills, and advanced SQL.
Key Highlights
5+ years of experience in data engineering or a closely related discipline
Strong hands-on experience with modern cloud data platforms, managed databases, and orchestration services
Advanced SQL skills alongside experience in ETL/ELT pipeline design and API integrations
Proven background in database performance tuning, data governance, and data security standards
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Key Responsibilities
Take ownership of cloud data infrastructure to improve performance, scalability, and cost efficiency
Design and implement scalable data storage, layered data structures, and reliable reporting data models
Build automated ETL/ELT pipelines and integrations between operational systems, third-party platforms, and internal applications
Implement monitoring, scheduling, and alerting to ensure data pipeline and database reliability
Collaborate with cross-functional technical teams and non-technical stakeholders to deliver robust data solutions
Technical Skills Required
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Benefits & Perks
Competitive salary
Comprehensive company benefits
Remote-first working arrangement
Job Description
An established organisation is seeking an experienced Data Engineer to take ownership of its cloud data environment, pipelines, and architecture.
The Role
- Take ownership of cloud data infrastructure to improve performance, scalability, and cost efficiency
- Design and implement scalable data storage, layered data structures, and reliable reporting data models
- Build automated ETL/ELT pipelines and integrations between operational systems, third-party platforms, and internal applications
- Implement monitoring, scheduling, and alerting to ensure data pipeline and database reliability
- Collaborate with cross-functional technical teams and non-technical stakeholders to deliver robust data solutions
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