Allianz

2 weeks ago

Data Engineer AWS (DIA Datamarts)(m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Help migrate more than 200 OneDIA data products from legacy systems to Snowflake and AWS by designing data models for tables and datamarts, implementing end-to-end ETL processes, and setting up landing zones, data stores, and data vaults. Build staging using data lake architectures, create customer-specific warehouses and data marts, and develop orchestration pipelines that integrate with the Data Catalog to validate inputs and processing results.

Location: Barcelona

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Create data models for elements such as tables and datamarts.
•Implement end-to-end ETL processes within the OneDIA ecosystem architecture and processes.
•Define and implement landing zones and data stores for ingesting raw data.
•Carry out staging using data lake architecture and processes.
•Set up raw and business data vaults, and create customer-specific data warehouses and data marts, including ETL orchestration pipelines connected to the Data Catalog for validation.

Pay and Benefits

Perks:Annual BonusPensionEquityEmployee DiscountsHealth InsuranceParental LeaveRemote WorkFlexible Working

Key Requirements

•At least 3 years of experience with Snowflake, DBT (including GitHub), and AWS-based data components (e.g., Glue), plus Agile teams and agile delivery.
•Experience with IaaS and container-based components for data processing.
•Strong teamwork and solution-oriented, open-minded approach with effective communication skills.
•Proficiency in English, written and spoken.
•Experience in ETL environments and tools, including orchestration with AWS Step Functions and UC4, plus data catalog/quality with IDMC.

Experience:3+ yearsInsuranceData engineering

Skills:TeamworkSolution-orientedOpen-mindedCommunication

Languages:English

Tech Stack:SnowflakeDBTGitHubAWSGlueIaaSContainersAgileAWS Step FunctionsUC4IDMCData lakeData CatalogETLData modelsData vaultsData warehousesData martsOrchestrationLanding zone

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

2 weeks ago

Data Engineer AWS (DIA Datamarts)(m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Barcelona

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Create data models for elements such as tables and datamarts.
•Implement end-to-end ETL processes within the OneDIA ecosystem architecture and processes.
•Define and implement landing zones and data stores for ingesting raw data.
•Carry out staging using data lake architecture and processes.
•Set up raw and business data vaults, and create customer-specific data warehouses and data marts, including ETL orchestration pipelines connected to the Data Catalog for validation.

Pay and Benefits

Perks:Annual BonusPensionEquityEmployee DiscountsHealth InsuranceParental LeaveRemote WorkFlexible Working

Key Requirements

•At least 3 years of experience with Snowflake, DBT (including GitHub), and AWS-based data components (e.g., Glue), plus Agile teams and agile delivery.
•Experience with IaaS and container-based components for data processing.
•Strong teamwork and solution-oriented, open-minded approach with effective communication skills.
•Proficiency in English, written and spoken.
•Experience in ETL environments and tools, including orchestration with AWS Step Functions and UC4, plus data catalog/quality with IDMC.

Experience:3+ yearsInsuranceData engineering

Skills:TeamworkSolution-orientedOpen-mindedCommunication

Languages:English

Tech Stack:SnowflakeDBTGitHubAWSGlueIaaSContainersAgileAWS Step FunctionsUC4IDMCData lakeData CatalogETLData modelsData vaultsData warehousesData martsOrchestrationLanding zone

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