Mid-Level, Senior

Forward Developed Engineer

Barcelona, Spain · Hybrid

About the role

The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP), a PaaS offering that comprises the necessary capabilities to store, transfer and analyse data, as well as running data & analytics products.

Are you energised by building and implementing the data platforms that thousands of colleagues depend on at one of the world's largest financial services groups?

If so, this role puts you at the centre of that work. You will implement and engineer the platforms behind the Allianz Data Platform, working hands-on with Databricks, Azure Synapse, and Microsoft Fabric, and turning platform capabilities into services that Operating Entities can adopt with confidence. The role sits at the crossroads of engineering, data, and operations, which means the pipelines, integrations, and controls you build shape how thousands of colleagues across Allianz Group turn data into decisions. To get there, you will work forward with the Operating Entities themselves, assisting in the deployment and configuration of platform components, integration of source systems, and extending our offering into so that analytics and AI use cases run on solid, governed foundations.

What you do

Consult with OEs in the implementation and configuration of core platform components across Databricks, Azure Synapse, and Microsoft Fabric, from initial deployment through to stable production.
Assist in building data integration pipelines that connect OE source systems to central platforms, using both batch and streaming patterns.
Configure platform capabilities with high availability, strong access controls, and end-to-end observability.
Extend the platform offering into AI and GenAI scenarios, including Azure AI Foundry, so that model-based use cases run on governed foundations.
Partner directly with Operating Entities to translate business needs into working platform implementations and reusable solutions.
Implement governance, security, and data control layers in line with financial services expectations for data handling, auditability, and operational resilience.
Build and refine CI/CD and infrastructure-as-code pipelines to keep deployment cycles fast, secure, and repeatable.
Collaborate closely with security, risk, compliance, architecture, and data governance teams to clear the path for platform adoption.
Deliver reusable components, reference architectures, and engineering best practices that accelerate platform rollout across the group.
Support the rollout of central platform solutions to the OEs, and build business-specific use cases on top of them.
Coach and mentor engineers across the organisation, and drive continuous improvement in tooling, standards, and ways of working.

What you bring

Essential skills and experience:

BS/MS in Computer Science, Information Systems, Engineering, or an equivalent technical discipline.
5+ years of hands-on experience implementing or engineering data and analytics platforms in enterprise environments, ideally within financial services, insurance, or another regulated industry.
Significant experience with Databricks, including Delta Lake, Unity Catalogue, workflows, and production pipelines.
Practical experience with Azure data services such as Azure Synapse Analytics and Microsoft Fabric.
Strong data integration skills, covering ETL and ELT design, orchestration (e.g., Azure Data Factory, Airflow), and both batch and streaming sources.
Solid engineering skills in Python and SQL, with experience building and maintaining production-grade code.
Experience with CI/CD pipelines, source control management, and infrastructure-as-code (e.g., Terraform, Bicep).
Working knowledge of platform security and governance concepts, including access controls, encryption, and data lineage.
Familiarity with end-to-end (E2E) Data Product Management, including data governance, quality, and lifecycle management.
Excellent communication and stakeholder management skills in English (additional languages are a plus).

It would be great if you also have (not required):

7+ years of experience in platform engineering, data engineering, or cloud infrastructure.
Exposure to Azure AI Foundry or comparable AI platform tooling, including the deployment of model-based services.
Familiarity with MLOps practices and tools such as MLflow, feature stores, and model lifecycle governance.
Experience with Kubernetes, Docker, and cloud-native architectures.
Hands-on familiarity with the wider modern data stack (e.g., Spark, dbt, Kafka, Snowflake, or similar).
Experience with observability and monitoring tools such as Azure Monitor, Datadog, or Prometheus.
Relevant certifications such as Databricks Certified Data Engineer, Microsoft Azure Data Engineer, or equivalent.

If you don’t tick every box, that’s okay—your growth mindset matters. We welcome applicants who bring the essentials and are eager to learn the rest.

What we offer

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

About Allianz Technology

With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience.

We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction.

In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.

Find us at: www.linkedin.com/company/allianz-technology.

Commitment to Integrity, Fairness & Inclusion

Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life. Ultimately, our greatest strength as a company lies in the unique skills, experiences, and backgrounds our employees contribute.

We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

To Recruitment Agencies:

Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters.

When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.

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