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1–2 jobs· newest first

Platform Engineering ll
Tokio Marine Group of Companies · Bala Cynwyd, US
$90K–$125K
Senior Data Engineer
RWS Group · Dublin, Ireland
Hybrid · Full-time · Senior

+10K new in the last hour

Platform Engineering ll

Tokio Marine Group of Companies · Posted Nov 5, 2026

Bala Cynwyd, Pennsylvania, United States
$90K–$125K per year
2–5 years

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Build, extend, and maintain a shared data platform on Databricks Lakehouse for multiple group companies.

Compensation

Salary range $90,000 to $125,000. Ultimate salary offered will be based on factors such as applicant experience and geographic location. Our company offers a competitive benefits package and bonus eligibility on top of base.

Responsibilities

Build and configure new Databricks workspaces, Unity Catalog structures, and compute resources across environments
Design and develop new Databricks Terraform modules for repeatable provisioning
Manage and optimize compute configurations balancing cost, performance, and isolation
Implement and maintain platform-level security controls
Build and maintain Azure DevOps pipelines for automated deployment

Requirements

Nice to have: Experience with TMNAS engineering standards
Nice to have: Experience with Azure DevOps CI/CD pipelines or equivalent
Nice to have: Experience with Bicep / ARM templates
Nice to have: Experience supporting multi-tenant or multi-environment platform configurations
Nice to have: P&C Insurance industry experience

Skills

Databricks Terraform provider Declarative Automation Bundles Git Azure DevOps Python Bash Azure cloud services Azure Entra ID Azure Key Vault Azure Storage Accounts Azure Networking Bicep ARM templates Databricks Unity Catalog Databricks Lakehouse Delta Lake Observability tooling Azure Monitor Grafana Datadog Databricks Terraform Azure

Benefits

competitive benefits package

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Senior Data Engineer

RWS Group · Posted Nov 5, 2026

Dublin, Leinster, Ireland
Hybrid
Full-time · Senior

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Own the data platform that tracks and powers TrainAI’s AI data services, built on Databricks.

Responsibilities

Own the Databricks lakehouse: design, build and run the platform end to end
Build medallion pipelines: ingestion and transformation through bronze, silver and gold layers on Delta Lake
Integrate source systems: ingest data from platform databases, SaaS APIs and partner feeds
Orchestrate and monitor: schedule and monitor multi-stage workflows with Databricks Workflows/Jobs
Optimize performance and cost: tune Delta tables, cluster sizing and job design

Requirements

Nice to have: Databricks certification
Nice to have: Databricks Asset Bundles
Nice to have: Databricks Terraform provider
Nice to have: Delta Live Tables / Lakeflow declarative pipelines
Nice to have: Auto Loader

Skills

Databricks Delta Lake Databricks Workflows/Jobs Unity Catalog PySpark

Delta Live Tables

Automated testing

Data pipeline ownership

Databricks Terraform provider

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