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Senior Data & AI Transformation Expert

Barcelona, Barcelona, Spain

Live, first seen by us 23 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting

What you’ll work on

Full posting

Are you passionate about data platforms and eager to see how modern data architectures transform the world’s leading insurance brand?

Own the technical engagement lifecycle: current-state assessment, target architecture design, migration strategy, solution scoping, delivery governance, and measurable outcomes.

  • Own technical engagement lifecycle from assessment to target architecture and outcomes

  • Define migration roadmaps, cutover plans and key architecture and tooling decisions

  • Lead technical alignment with engineering teams and executives on goals and KPIs

  • Run delivery cadence, review designs and code, and resolve blockers and technical risks

  • Identify follow-on modernization and decommissioning opportunities

From the employer’s posting
Are you passionate about data platforms and eager to see how modern data architectures transform the world’s leading insurance brand? Join Allianz Services as a Data & AI Transformation Expert (m/f/d) and lead hands-on data modernization and migration programs within our Data & AI Transformation team. Collaborate with a dynamic, international team to re-platform legacy data estates, decommission legacy technologies, and stand up cloud-native data, AI & GenAI services. We're seeking technically strong leaders who can architect solutions, get into the detail with engineers, and drive real delivery to "Make Data & AI Transformation Happen." Apply now and become a key player in modernizing the data foundations of Allianz.
Own the technical engagement lifecycle: current-state assessment, target architecture design, migration strategy, solution scoping, delivery governance, and measurable outcomes.
Own the technical engagement lifecycle: current-state assessment, target architecture design, migration strategy
define migration roadmaps, sequencing, and cutover plans, and make the key architecture and tooling decisions
build trust with engineering and architecture teams as well as executives, align on technical goals and KPIs
run delivery cadence, review designs and code where needed, track KPIs and technical risks, manage dependencies, resolve blockers
identify follow-on modernization and decommissioning opportunities

About Allianz Insurance

Allianz Group is one of the most trusted insurance and asset management companies in the world.

In the employer’s words · Read in context

Apply at Allianz Insurance

Posting record

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Status in our records
Live
First seen by us
Oct 21, 202623 days ago
Recorded sightings
46
Last seen by us
Nov 13, 2026
Reposted
once since Sep 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 23

Similar jobs usually come down between day 6 and day 56.

Well past Allianz Insurance’s usual: its jobs come down by about day 3.

From 13,630 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.

Allianz Insurance is hiring

65 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • SAS
  • Azure
  • Databricks
  • Snowflake
Where the posting names them
- Strong hands-on expertise in Data Engineering, Data Architecture and Solution Architecture, including data modeling, ETL/ELT pipelines, and cloud data platforms (e.g. Azure, Databricks, Snowflake,). - Proven experience steering data migrations: legacy-to-cloud re-platforming, decommissioning of legacy systems (e.g. SAS, on-prem warehouses), data validation, and cutover management. - Expert technical scoping and estimation; ability to assess legacy estates and design pragmatic, cost-aware migration and modernization approaches.
- At least 5 years in hands-on data delivery roles, including 2+ years leading data modernization or migration programs. - Strong hands-on expertise in Data Engineering, Data Architecture and Solution Architecture, including data modeling, ETL/ELT pipelines, and cloud data platforms (e.g. Azure, Databricks, Snowflake,). - Proven experience steering data migrations: legacy-to-cloud re-platforming, decommissioning of legacy systems (e.g. SAS, on-prem warehouses), data validation, and cutover management.

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

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.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Us / Who you will join:

130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it.

 

Role overview

Are you passionate about data platforms and eager to see how modern data architectures transform the world’s leading insurance brand? Join Allianz Services as a Data & AI Transformation Expert (m/f/d)  and lead hands-on data modernization and migration programs within our Data & AI Transformation team. Collaborate with a dynamic, international team to re-platform legacy data estates, decommission legacy technologies, and stand up cloud-native data, AI & GenAI services. We're seeking technically strong leaders who can architect solutions, get into the detail with engineers, and drive real delivery to "Make Data & AI Transformation Happen." Apply now and become a key player in modernizing the data foundations of Allianz.
 

Key responsibilities / You will get to:

 

  • Own the technical engagement lifecycle: current-state assessment, target architecture design, migration strategy, solution scoping, delivery governance, and measurable outcomes.
  • Steer data modernization and migration efforts: define migration roadmaps, sequencing, and cutover plans, and make the key architecture and tooling decisions.
  • Lead technical stakeholder alignment: build trust with engineering and architecture teams as well as executives, align on technical goals and KPIs, and secure architecture decisions in complex organizations.
  • Translate business and data requirements into technical delivery plans: define target-state architecture, data models, migration approach, resourcing, timeline, and measurable success criteria.
  • Govern execution hands-on: run delivery cadence, review designs and code where needed, track KPIs and technical risks, manage dependencies, resolve blockers, and ensure delivery quality and customer satisfaction.
  • Drive continuous improvement: identify follow-on modernization and decommissioning opportunities, and provide technical thought leadership on data platforms, migration patterns, and best practices.

 

Key requirements / What we hope you bring: 

 

  • At least 5  years in hands-on data delivery roles, including 2+ years leading data modernization or migration programs.
  • Strong hands-on expertise in Data Engineering, Data Architecture and Solution Architecture, including data modeling, ETL/ELT pipelines, and cloud data platforms (e.g. Azure, Databricks, Snowflake,).
  • Proven experience steering data migrations: legacy-to-cloud re-platforming, decommissioning of legacy systems (e.g. SAS, on-prem warehouses), data validation, and cutover management.
  • Expert technical scoping and estimation; ability to assess legacy estates and design pragmatic, cost-aware migration and modernization approaches.
  • Strong communication skills across technical and executive audiences; able to explain architecture trade-offs and influence without formal authority.
  • Cross-functional technical leadership across engineering, data, and architecture teams; fluency in delivery methodologies (Agile/Lean) and modern DataOps/CI-CD practices.
  • Deep experience in data platforms and modernization is essential; broader ML, AI & GenAI exposure is a strong plus.
  • Insurance domain knowledge preferred.
  • Genuine hands-on attitude — comfortable getting into designs, data models, and code alongside technical teams.
  • Fluent English is a must, additional languages a plus.

*We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.*


108382 | IT & Tech Engineering | Professional | Allianz Services | Full-Time | Permanent

 

About Allianz 

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.
We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions.
Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.
We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.


Join us. Let's care for tomorrow.

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Barcelona, Barcelona, Spain

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