Senior Data Engineer
ViVA Tech Talent
Belfast, UK
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Amazon S3
Data Analysis
BigQuery
Information Engineering
Data Infrastructure
Data Warehousing
Python (Programming Language)
SQL Databases
Data Streaming
Workflow Management Systems
+5 more
Snowflake
Cloudformation
Event Driven Architecture
Terraform
Amazon Redshift
Job description
- Designing and building a scalable data platform on AWS
- Creating robust batch and streaming data pipelines
- Owning analytical data models (SQL / dbt) used across the business
- Partnering with engineering teams on data modelling and data contracts
- Optimising for cost, scale, governance, and data quality in a high-volume environment
Requirements
- 5+ years in data engineering / data platform roles
- Strong AWS experience (e.g. S3, Lambda, Glue, Kinesis)
- Expert SQL and solid Python
- Experience with modern data warehouses (Snowflake, Redshift, BigQuery)
- Orchestration tools (Airflow, Dagster, Prefect) and dbt
- Comfortable operating at architecture level, not just pipelines
Nice to have
- Streaming or event-driven architectures
- IoT / high-volume telemetry data
- IaC (Terraform / CloudFormation)
- Scale-up or startup experience
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