Data / Analytics Engineer ETL,POWER BI AND SQL
Summary
Builds ETL pipelines and Power BI dashboards for a Singapore bank, integrating logs and infra data to feed AI-driven AIOps analytics and incident insights.
We are looking for
Data / Analytics Engineer with good knowledge on ETL, Power BI and SQL
for ourBanking customer in Singapore for a 1-year contract. you will be based inSingapore. Role Overview We are looking for a Data& Analytics Engineer to support AI-driven operations analytics, focusing onlog analysis, incident insights, and data modelling for AIOps. This role bridges data engineering + analytics + AIenablement. Key Responsibilities 1. Data Engineering & Pipeline . Design and build data pipelines for logs, incidents,infrastructure data . Integrate with tools like Elastic / Splunk / monitoringplatforms . Structure and prepare data for AI/analytics use 2. AI-Driven Analytics . Enable log correlation and intelligent reasoning using AItools . Work with AI teams to feed structured data into models 3. Operations Analytics Use Cases . Deliver analytics for: o Incident management o Storage and infra metrics o Logs and monitoring insights 4. Dashboard & Visualization . Build dashboards using: o Power BI / Elastic / other tools . Present insights to leadership (support demo &rollout) 5. Data Modelling & Governance . Design data models for operational analytics . Ensure data quality, consistency, and scalability Requirements Technical Skills . Strong experience in: o SQL / data modelling o ETL / data pipelines . Hands-on with: o Power BI (or similar BI tools) o Log/monitoring platforms (Elastic/Splunk) . Exposure to: o AI/ML concepts or LLM integration Other requirements: . Experience with: o Azure OpenAI / AI analytics pipelines o Infrastructure or operations domain data . Ability to translate raw logs into actionable insights . Strong data + infra understanding Please send us your resume in word(.doc) format to:(HIDDEN TEXT)
Data / Analytics Engineer with good knowledge on ETL, Power BI and SQL
for ourBanking customer in Singapore for a 1-year contract. you will be based inSingapore. Role Overview We are looking for a Data& Analytics Engineer to support AI-driven operations analytics, focusing onlog analysis, incident insights, and data modelling for AIOps. This role bridges data engineering + analytics + AIenablement. Key Responsibilities 1. Data Engineering & Pipeline . Design and build data pipelines for logs, incidents,infrastructure data . Integrate with tools like Elastic / Splunk / monitoringplatforms . Structure and prepare data for AI/analytics use 2. AI-Driven Analytics . Enable log correlation and intelligent reasoning using AItools . Work with AI teams to feed structured data into models 3. Operations Analytics Use Cases . Deliver analytics for: o Incident management o Storage and infra metrics o Logs and monitoring insights 4. Dashboard & Visualization . Build dashboards using: o Power BI / Elastic / other tools . Present insights to leadership (support demo &rollout) 5. Data Modelling & Governance . Design data models for operational analytics . Ensure data quality, consistency, and scalability Requirements Technical Skills . Strong experience in: o SQL / data modelling o ETL / data pipelines . Hands-on with: o Power BI (or similar BI tools) o Log/monitoring platforms (Elastic/Splunk) . Exposure to: o AI/ML concepts or LLM integration Other requirements: . Experience with: o Azure OpenAI / AI analytics pipelines o Infrastructure or operations domain data . Ability to translate raw logs into actionable insights . Strong data + infra understanding Please send us your resume in word(.doc) format to:(HIDDEN TEXT)