Barcelona, Barcelona, Spain
Actively hiring, first seen by us 10 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
Define and maintain the target data architecture for the platform
Lead and execute technology migrations between data platforms, including data parity checks
Design, build and publish data products with contracts, quality rules and SLAs
Develop pipelines and transformations with dbt, PySpark and T-SQL
Review and validate external provider deliveries before production
Define and maintain the target data architecture of the platform (ingestion, Data Vault, consumption layers)
Lead and execute technology migrations between data platforms and engines.
Design, build and publish data products with clear ownership, data contracts, quality rules, documentation and SLAs
Develop data pipelines and transformations with dbt, PySpark and T-SQL on Azure Synapse
Review and validate deliveries from external providers (code quality, data contracts, DDL, performance and security)
Experience in data architecture and modelling (Data Vault 2.0, dimensional modelling, lakehouse patterns on Delta Lake) and in delivering data products and platform migrations.
5+ years in data engineering and/or data architecture roles, with at least 2 years designing solutions on Azure. Experience working in agile teams (Scrum/Kanban), with hands-on use of Jira to manage epics, user stories, sprints and backlogs.
Bachelor's or Master's degree in Computer Science, Software or Data Engineering, Mathematics, or a related field (or equivalent professional experience).
Familiarity with Machine learning is a strong advantage.
- 5+ years in data engineering and/or data architecture roles, with at least 2 years designing solutions on Azure. Experience working in agile teams (Scrum/Kanban), with hands-on use of Jira to manage epics, user stories, sprints and backlogs. - Bachelor's or Master's degree in Computer Science, Software or Data Engineering, Mathematics, or a related field (or equivalent professional experience). - Familiarity with Machine learning is a strong advantage.
From the employer’s posting.
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
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Day 10
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Well past Allianz Insurance’s usual: its jobs come down by about day 3.
From 9,462 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
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- Solid hands-on experience with Azure data services, especially Azure Synapse Analytics (Spark Pools, Dedicated SQL Pools, pipelines) and Azure Data Lake Storage. - Strong data engineering skills in SQL (T-SQL) and Python/PySpark, plus experience with dbt and Git-based CI/CD (GitHub, pull requests, automated testing). - Experience in data architecture and modelling (Data Vault 2.0, dimensional modelling, lakehouse patterns on Delta Lake) and in delivering data products and platform migrations.
- Design, build and publish data products with clear ownership, data contracts, quality rules, documentation and SLAs, ready for consumption by business and analytics teams. - Develop data pipelines and transformations with dbt, PySpark and T-SQL on Azure Synapse (Spark Pools and Dedicated SQL Pools) and Databricks, applying Git-based CI/CD practices. - Apply AI-assisted development across the delivery lifecycle (AI-SDLC): specification, design, coding, testing, documentation and code review. Use spec-driven development (SDD) frameworks so that specifications act as the source of truth for AI-generated work.
What you bring - Solid hands-on experience with Azure data services, especially Azure Synapse Analytics (Spark Pools, Dedicated SQL Pools, pipelines) and Azure Data Lake Storage. - Strong data engineering skills in SQL (T-SQL) and Python/PySpark, plus experience with dbt and Git-based CI/CD (GitHub, pull requests, automated testing).
- Proven practical use of AI technologies in day-to-day work, with knowledge of AI-SDLC and of spec-driven development (SDD) frameworks (e.g. GitHub Spec Kit, or similar) and AI coding assistants (e.g. Claude Code, GitHub Copilot). You know how to prompt, supervise and validate AI output critically. - 5+ years in data engineering and/or data architecture roles, with at least 2 years designing solutions on Azure. Experience working in agile teams (Scrum/Kanban), with hands-on use of Jira to manage epics, user stories, sprints and backlogs. - Bachelor's or Master's degree in Computer Science, Software or Data Engineering, Mathematics, or a related field (or equivalent professional experience).
Join the BI&Data Architecture team of Allianz Technology Iberolatam, which supports the Allianz Data Platform (ADP) across several Operating Entities. You will combine architecture ownership with hands-on engineering. You will lead technology migrations (towards Databricks and Microsoft Fabric) and build reusable data products. You will do this as an AI-augmented professional, using AI-driven development lifecycles and spec-driven approaches to deliver faster and with higher quality. What you do
What you do - Define and maintain the target data architecture of the platform (ingestion, Data Vault, consumption layers), ensuring solutions are portable across Synapse, Databricks and Fabric, based on open formats such as Delta Lake. - Lead and execute technology migrations between data platforms and engines. This includes assessing the current state, designing the target, defining the migration approach, and validating data parity.
- Experience in data architecture and modelling (Data Vault 2.0, dimensional modelling, lakehouse patterns on Delta Lake) and in delivering data products and platform migrations. - Working knowledge of Databricks (Unity Catalog, workflows, cost model); knowledge of the Microsoft Fabric ecosystem (OneLake, Lakehouse, Direct Lake) and of FinOps principles is a strong plus. - Proven practical use of AI technologies in day-to-day work, with knowledge of AI-SDLC and of spec-driven development (SDD) frameworks (e.g. GitHub Spec Kit, or similar) and AI coding assistants (e.g. Claude Code, GitHub Copilot). You know how to prompt, supervise and validate AI output critically.
- Strong data engineering skills in SQL (T-SQL) and Python/PySpark, plus experience with dbt and Git-based CI/CD (GitHub, pull requests, automated testing). - Experience in data architecture and modelling (Data Vault 2.0, dimensional modelling, lakehouse patterns on Delta Lake) and in delivering data products and platform migrations. - Working knowledge of Databricks (Unity Catalog, workflows, cost model); knowledge of the Microsoft Fabric ecosystem (OneLake, Lakehouse, Direct Lake) and of FinOps principles is a strong plus.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Join the BI&Data Architecture team of Allianz Technology Iberolatam, which supports the Allianz Data Platform (ADP) across several Operating Entities. You will combine architecture ownership with hands-on engineering.
You will lead technology migrations (towards Databricks and Microsoft Fabric) and build reusable data products. You will do this as an AI-augmented professional, using AI-driven development lifecycles and spec-driven approaches to deliver faster and with higher quality.
What you do
What you bring
What we offer
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 Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, 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.
109374 | Data & AI | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent
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Barcelona, Barcelona, Spain
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).
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