Barcelona, Barcelona, Spain
Live, first seen by us 59 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
This role is part of the Digital Resilience as a Service framework, collaborating closely with Group Information Security and Allianz Technology to turn security data into reliable risk insight and Group-wide reporting standards.
Integrate data from SIEM, EDR, IAM, DLP, vulnerability management, ITSM, cloud, and HR systems to build a single source of truth for security metrics, leveraging Azure Cloud services (Synapse Analytics, Data Factory) and data-lake architectures.
Build and maintain automated data pipelines (PySpark, Azure Data Factory) for security KPI/KRI computation
Integrate security, IT and HR data sources into a single source of truth on Azure
Build and govern executive and operational Power BI dashboards and datasets
Document data dictionaries, lineage, validation checks and ingestion SOPs
Present findings and recommendations to technical and non-technical stakeholders
This role is part of the Digital Resilience as a Service framework, collaborating closely with Group Information Security and Allianz Technology to turn security data into reliable risk insight and Group-wide reporting standards. You will work within a modern analytics environment that spans cloud platforms, automated data pipelines, and advanced visualization.
Integrate data from SIEM, EDR, IAM, DLP, vulnerability management, ITSM, cloud, and HR systems to build a single source of truth for security metrics, leveraging Azure Cloud services (Synapse Analytics, Data Factory) and data-lake architectures.
Design, build, and maintain automated data pipelines (PySpark, Azure Data Factory) for scheduled ingestion, transformation, and KPI/KRI computation
Integrate data from SIEM, EDR, IAM, DLP, vulnerability management, ITSM, cloud, and HR systems to build a single source of truth for security metrics
Build executive and operational Power BI dashboards with clear metric definitions, documentation, and governed datasets
Establish data dictionaries, lineage documentation, validation checks, and SOPs for data ingestion, transformation, and reporting
Present findings and recommendations to stakeholders across SecOps, GRC, and IT, adapting the message to technical and non-technical audiences
Bachelor's degree in Computer Science, Data Science, Engineering, Information Security, or related field (or equivalent experience).
Experience defining or working with security/risk KPIs and KRIs.
Experience with at least one cloud data platform (Azure Synapse, Azure Data Factory, or similar) and familiarity with data-lake or data-warehouse concepts.
Hands-on experience with NoSQL databases (MongoDB or similar).
Experience working with data governance practices: data dictionaries, validation, documentation.
Ability to communicate data insights clearly to non-technical stakeholders.
Must have - Bachelor's degree in Computer Science, Data Science, Engineering, Information Security, or related field (or equivalent experience). - Solid hands-on experience with Power BI (DAX, Power Query) for data modelling and visualization at a professional/advanced level.
From the employer’s posting.
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Day 59
Up longer than most. 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.
65 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience with at least one cloud data platform (Azure Synapse, Azure Data Factory, or similar) and familiarity with data-lake or data-warehouse concepts. - Working knowledge of a programming or scripting language for data manipulation (Python, PySpark, SQL, or similar). - Experience working with data governance practices: data dictionaries, validation, documentation.
- Use Power BI (DAX, Power Query) and, where appropriate, Excel (Power Query, Power Pivot) for rapid prototyping, ad hoc modelling, and data validation. - Work with cloud-based and on-premises data stores (Azure Synapse, SQL databases, MongoDB, or similar) to query, transform, and model security data at scale. - Conduct ad hoc analysis, root-cause investigations, and trend reporting.
What you do: - Integrate data from SIEM, EDR, IAM, DLP, vulnerability management, ITSM, cloud, and HR systems to build a single source of truth for security metrics, leveraging Azure Cloud services (Synapse Analytics, Data Factory) and data-lake architectures. - Design, build, and maintain automated data pipelines (PySpark, Azure Data Factory) for scheduled ingestion, transformation, and KPI/KRI computation (vulnerability remediation SLAs, patch cadence, phishing training outcomes, MTTR, control health, audit readiness, risk heatmaps, vendor risk, policy compliance).
- Integrate data from SIEM, EDR, IAM, DLP, vulnerability management, ITSM, cloud, and HR systems to build a single source of truth for security metrics, leveraging Azure Cloud services (Synapse Analytics, Data Factory) and data-lake architectures. - Design, build, and maintain automated data pipelines (PySpark, Azure Data Factory) for scheduled ingestion, transformation, and KPI/KRI computation (vulnerability remediation SLAs, patch cadence, phishing training outcomes, MTTR, control health, audit readiness, risk heatmaps, vendor risk, policy compliance). - Build executive and operational Power BI dashboards with clear metric definitions, documentation, and governed datasets; implement scheduled refreshes, Row-Level Security (RLS), and dataset governance.
- Solid hands-on experience with Power BI (DAX, Power Query) for data modelling and visualization at a professional/advanced level. - Experience with at least one cloud data platform (Azure Synapse, Azure Data Factory, or similar) and familiarity with data-lake or data-warehouse concepts. - Working knowledge of a programming or scripting language for data manipulation (Python, PySpark, SQL, or similar).
- Build executive and operational Power BI dashboards with clear metric definitions, documentation, and governed datasets; implement scheduled refreshes, Row-Level Security (RLS), and dataset governance. - Use Power BI (DAX, Power Query) and, where appropriate, Excel (Power Query, Power Pivot) for rapid prototyping, ad hoc modelling, and data validation. - Work with cloud-based and on-premises data stores (Azure Synapse, SQL databases, MongoDB, or similar) to query, transform, and model security data at scale.
- Genuine interest in Generative AI and practical experience or curiosity about applying it to reporting automation, anomaly detection, or natural-language analytics. - Advanced Excel skills (Power Query, Power Pivot) for rapid prototyping and ad hoc analysis. - Additional languages beyond English.
- Experience defining or working with security/risk KPIs and KRIs. - Hands-on experience with NoSQL databases (MongoDB or similar). - Genuine interest in Generative AI and practical experience or curiosity about applying it to reporting automation, anomaly detection, or natural-language analytics.
- Design, build, and maintain automated data pipelines (PySpark, Azure Data Factory) for scheduled ingestion, transformation, and KPI/KRI computation (vulnerability remediation SLAs, patch cadence, phishing training outcomes, MTTR, control health, audit readiness, risk heatmaps, vendor risk, policy compliance). - Build executive and operational Power BI dashboards with clear metric definitions, documentation, and governed datasets; implement scheduled refreshes, Row-Level Security (RLS), and dataset governance. - Use Power BI (DAX, Power Query) and, where appropriate, Excel (Power Query, Power Pivot) for rapid prototyping, ad hoc modelling, and data validation.
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Security, or related field (or equivalent experience). - Solid hands-on experience with Power BI (DAX, Power Query) for data modelling and visualization at a professional/advanced level. - Experience with at least one cloud data platform (Azure Synapse, Azure Data Factory, or similar) and familiarity with data-lake or data-warehouse concepts.
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Yes. We’ve followed 3 other Data Engineer jobs there since June 2026. One came down after 1 day. 2 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 7% 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 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.
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.
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
This role is part of the Digital Resilience as a Service framework, collaborating closely with Group Information Security and Allianz Technology to turn security data into reliable risk insight and Group-wide reporting standards. You will work within a modern analytics environment that spans cloud platforms, automated data pipelines, and advanced visualization.
What you do:
What you bring:
Must have
Nice to have
What we offer:
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
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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