Allianz

1 month ago

Lead Data Engineer (m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Lead the design and delivery of scalable data pipelines for Allianz SimpliFi on Azure, enforcing data engineering standards, guiding junior engineers, and ensuring data quality and governance across Raw Data Vault, Business Data Vault, and CORE layers using Databricks, Azure Synapse, and IDMC.

Location: Barcelona

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Define and enforce data engineering standards — pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions.
•Design and oversee end-to-end data pipelines: ingestion, transformation, loading across Raw Data Vault, Business Data Vault, UJT and CORE layers using tools like Databricks, Azure Synapse, and IDMC.
•Ensure data quality at the pipeline level — defining checks, monitoring and resolving data issues before they propagate downstream.
•Guide junior/mid engineers, set the bar for code quality, and conduct reviews to boost team capabilities.
•Collaborate with Data Modellers, MDM/RDM specialists, Data Architects, and IT leads to align technical implementation with business intent and governance requirements.

Pay and Benefits

Perks:Health InsurancePensionEquity

Key Requirements

•Hands-on experience building and operating large-scale data pipelines (batch and streaming) with SQL, Python, and distributed computing (PySpark/Scala)
•Proficiency with Spark, Kafka, Airflow and cloud-native equivalents (Azure Data Factory, Azure Databricks, AWS Glue)
•Experience with modern lakehouse/warehouse platforms (Databricks, Azure Synapse, IDMC) and data modelling (Data Vault, Kimball)
•Strong data quality practices (profiling, validation, lineage) and familiarity with governance tools (IDMC, Purview)
•CI/CD for data pipelines (GitHub Actions, Azure DevOps), infrastructure-as-code (Terraform), containerisation (Docker/Kubernetes)

Experience:FinanceInsuranceSaaS

Skills:LeadershipCommunicationProblem-solvingMentoringCollaboration

Tech Stack:AzureAzure SynapseDatabricksIDMCInformatica IDMCSQLPythonScalaPySparkSparkKafkaAirflowGitHub ActionsAzure Data FactoryTerraformDockerKubernetes

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

1 month ago

Lead Data Engineer (m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Barcelona

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Define and enforce data engineering standards — pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions.
•Design and oversee end-to-end data pipelines: ingestion, transformation, loading across Raw Data Vault, Business Data Vault, UJT and CORE layers using tools like Databricks, Azure Synapse, and IDMC.
•Ensure data quality at the pipeline level — defining checks, monitoring and resolving data issues before they propagate downstream.
•Guide junior/mid engineers, set the bar for code quality, and conduct reviews to boost team capabilities.
•Collaborate with Data Modellers, MDM/RDM specialists, Data Architects, and IT leads to align technical implementation with business intent and governance requirements.

Pay and Benefits

Perks:Health InsurancePensionEquity

Key Requirements

•Hands-on experience building and operating large-scale data pipelines (batch and streaming) with SQL, Python, and distributed computing (PySpark/Scala)
•Proficiency with Spark, Kafka, Airflow and cloud-native equivalents (Azure Data Factory, Azure Databricks, AWS Glue)
•Experience with modern lakehouse/warehouse platforms (Databricks, Azure Synapse, IDMC) and data modelling (Data Vault, Kimball)
•Strong data quality practices (profiling, validation, lineage) and familiarity with governance tools (IDMC, Purview)
•CI/CD for data pipelines (GitHub Actions, Azure DevOps), infrastructure-as-code (Terraform), containerisation (Docker/Kubernetes)

Experience:FinanceInsuranceSaaS

Skills:LeadershipCommunicationProblem-solvingMentoringCollaboration

Tech Stack:AzureAzure SynapseDatabricksIDMCInformatica IDMCSQLPythonScalaPySparkSparkKafkaAirflowGitHub ActionsAzure Data FactoryTerraformDockerKubernetes

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