Data engineer in cybersecurity

Allianz Services; Barcelona; Hybrid; EUR 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Гибридная работа

Бонусная программа компании

Пенсия

Программа акций сотрудников

Здоровье и благополучие

Zusammenfassung

Allianz Services ищет специалиста по данным и BI для интеграции источников данных и построения единого источника правды по безопасности. Ваша работа охватит разработку пайплайнов, моделирование данных и создание дашбордов для управленческих и операционных целей.

Требуется опыт работы с Power BI, Azure Synapse/Data Factory, Python/PySpark и NoSQL. Предпочтение кандидатам с опытом в SIEM/EDR и генеративным ИИ; гибридный формат работы, поддержка обучения и развития.

Qualifikationen

• Требуется степень в области CS/DS/инженерии/информационной безопасности либо эквивалентный опыт.
• Глубокие навыки Power BI (DAX, Power Query) на продвинутом уровне.
• Опыт работы в облачных платформа Azure Synapse, Data Factory или аналогичных.
• Навыки программирования/скриптов (Python, PySpark, SQL).
• Опыт в управлении данными: словари данных, валидация, документация.
• Свободное владение английским языком; умение презентовать данные не техническим стейкхолдерам.
• Плюсом: опыт с SIEM/EDR/IAM/DLP и/или NoSQL; интерес к Generative AI.

Aufgaben

• Интегрировать данные из SIEM/EDR/IAM/DLP и ITSM для единого источника правды по метрикам безопасности.
• Разрабатывать автоматизированные пайплайны данных (PySpark, Azure Data Factory) и KPI/KRI.
• Строить дашборды Power BI и управлять наборами данных, включать RLS и governance.
• Работать с облачными и локальными хранилищами данных (Azure Synapse, SQL, MongoDB).
• Проводить разрезы, корневые причины, тренды; документировать словари данных и SOP.

Kenntnisse

Коммуникация данных для не тех.заказ

Английский язык

Ausbildung

Bachelor's degree in CS/Data Science/Engineering/InfoSec

Tools

Power BI

Azure Synapse

Azure Data Factory

Python

PySpark

SQL

NoSQL (MongoDB)

Excel (Power Query/Power Pivot)

Jobbeschreibung

Описание

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.

Задачи

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. 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. Establish data dictionaries, lineage documentation, validation checks, and SOPs for data ingestion, transformation, and reporting. Maintain controls for data minimization, secure handling, encryption, and least‑privilege access. Explore and apply Generative AI capabilities to enhance reporting and analytics workflows. For example, automating narrative summaries of dashboards, using NLP to surface patterns in unstructured security data, or building AI‑assisted anomaly detection in risk metrics. Present findings and recommendations to stakeholders across SecOps, GRC, and IT, adapting the message to technical and non‑technical audiences.

Требования

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. 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. Proficient English. Ability to communicate data insights clearly to non‑technical stakeholders. Будет плюсом: Prior exposure to security or IT risk data (SIEM, EDR, IAM, DLP, vulnerability management, or similar). No need to have worked with all of them; 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; Advanced Excel skills (Power Query, Power Pivot) for rapid prototyping and ad hoc analysis; Additional languages beyond English.

Условия

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.