We're working with a fast-growing tech company looking for a Data Engineer with expertise in Snowflake and Datalake architectures to help optimise and scale their data infrastructure. You’ll be part of an experienced Data Team working on high-impact projects that drive business intelligence, analytics, and scalable storage solutions.
What You’ll Do :
Architect scalable Datalakes using Snowflake and cloud-based storage solutions.
Build and optimise ETL / ELT pipelines for efficient data ingestion and transformation.
Enhance real-time data processing with event-driven architectures.
Improve security and performance across data platforms.
Support business intelligence initiatives to maximise data insights.
Data Warehousing : Snowflake, Redshift, BigQuery
ETL Pipelines : dbt, Airflow, Kafka, Apache Spark
Monitoring & Security : Grafana, Prometheus, IAM & RBAC
What We’re Looking For :
Strong expertise in Snowflake (architecture, schema design, optimisation).
Experience designing scalable and secure data pipelines .
Familiarity with containerisation (Docker), CI / CD pipelines, and Agile / Scrum .
A structured, detail-oriented approach to data governance and best practices.
Curiosity and a proactive mindset —you enjoy tackling technical challenges.
Why Join?
Work on cutting-edge data projects with a team of skilled engineers.
Enjoy a hybrid work model with flexibility ( 3 days WFH ).
Be part of a company that values innovation, collaboration, and growth .
If you're looking for an exciting opportunity to shape the future of scalable data solutions, apply now!
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