Allianz

15 hours ago

Principal Data Engineer/Data Analytics (m/f/d) (Bangkok, Bangkok, TH, 10310)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Design and implement scalable data solutions for mobile projects, partnering with cross-functional teams to gather and analyze data requirements. Build and optimize data pipelines and integration architectures, ensuring data quality, compliance, and high-performance processing. Leverage AI technologies to enhance analytics capabilities, generate insights that improve user experience and business value, and mentor junior data engineers and analysts while staying current with emerging data engineering trends.

Location: Bangkok

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines and architectures for mobile projects.
•Collaborate with stakeholders to gather and analyze data requirements aligned to business objectives.
•Implement data integration solutions ensuring interoperability with mobile applications.
•Optimize data processing and storage for performance; conduct data analysis to generate actionable insights.
•Ensure data quality and compliance, and mentor junior data engineers and analysts.

Pay and Benefits

Equity and Bonus:Equity

Perks:PensionHealth InsuranceEquityGym MembershipRemote WorkParental Leave

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent work experience).
•Proven experience as a Data Engineer or Data Analyst, with a focus on mobile projects and strong data architecture principles.
•Experience with cloud platforms such as AWS, Azure, or Google Cloud, plus proficiency in Python, SQL, or R.
•Familiarity with data processing frameworks like Apache Spark or Hadoop.
•Ability to work collaboratively and communicate complex technical concepts to non-technical stakeholders.

Experience:Data engineeringData analyticsMobile projects

Education:Bachelor's in Computer Science, Engineering, Data Science

Skills:Problem-solvingCollaborationCommunicationMentoringContinuous improvement

Tech Stack:AWSAzureGoogle CloudPythonSQLRApache SparkHadoopAIMachine learningData pipelinesData architectureData integrationMobile applications

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

15 hours ago

Principal Data Engineer/Data Analytics (m/f/d) (Bangkok, Bangkok, TH, 10310)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Bangkok

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines and architectures for mobile projects.
•Collaborate with stakeholders to gather and analyze data requirements aligned to business objectives.
•Implement data integration solutions ensuring interoperability with mobile applications.
•Optimize data processing and storage for performance; conduct data analysis to generate actionable insights.
•Ensure data quality and compliance, and mentor junior data engineers and analysts.

Pay and Benefits

Equity and Bonus:Equity

Perks:PensionHealth InsuranceEquityGym MembershipRemote WorkParental Leave

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent work experience).
•Proven experience as a Data Engineer or Data Analyst, with a focus on mobile projects and strong data architecture principles.
•Experience with cloud platforms such as AWS, Azure, or Google Cloud, plus proficiency in Python, SQL, or R.
•Familiarity with data processing frameworks like Apache Spark or Hadoop.
•Ability to work collaboratively and communicate complex technical concepts to non-technical stakeholders.

Experience:Data engineeringData analyticsMobile projects

Education:Bachelor's in Computer Science, Engineering, Data Science

Skills:Problem-solvingCollaborationCommunicationMentoringContinuous improvement

Tech Stack:AWSAzureGoogle CloudPythonSQLRApache SparkHadoopAIMachine learningData pipelinesData architectureData integrationMobile applications

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn