Data Platform Engineer — AWS, Snowflake & AI

Creditsafe Group; Dublin; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Bonus Scheme

Cycle to work

Global company gatherings

E-learning and career progression

Job summary

Creditsafe Group is building a new data and AI platform with data quality, lineage and auditability as core goals. The team will use AWS services like S3, Iceberg, Aurora, DynamoDB, Lambda, Fargate, ECS, Airflow, Spark and will integrate with Snowflake and Databricks to serve customers with high-throughput data insights.

You will work on end-to-end data pipelines, design scalable architectures, and contribute to AI capabilities on top of the platform, using Python and Terraform for

Qualifications

• Proven experience building production data pipelines in Python.
• Hands-on with modern cloud data platforms (Snowflake/Databricks).
• Strong understanding of data engineering best practices.

Responsibilities

• Contribute to codebase and participate in peer reviews.
• Design and build metadata-driven, event-based data processing pipelines.
• Integrate AWS data lake with Snowflake and Databricks.
• Design, develop and deploy scalable, low-latency data systems.
• Scale data pipelines with both batch and streaming approaches.
• Leverage AI tools to enhance data capabilities.

Skills

Python

Data engineering

Distributed systems

Cloud computing

Big data

Tools

Snowflake

Databricks

Terraform

Airflow

S3

DynamoDB

Iceberg

Lambda

Kinesis

Job description

Creditsafe Group is building a new data and AI platform with data quality, lineage and auditability as core goals. The team will use AWS services like S3, Iceberg, Aurora, DynamoDB, Lambda, Fargate, ECS, Airflow, Spark and will integrate with Snowflake and Databricks to serve customers with high-throughput data insights.

You will work on end-to-end data pipelines, design scalable architectures, and contribute to AI capabilities on top of the platform, using Python and Terraform for