Join our team of cybersecurity professionals and help Swiss Re to fulfil its mission in making the world more resilient.
About the team
The Security Team is the focal point for all security activities across Swiss Re. We are responsible for cybersecurity engineering and operations, governance, risk and compliance. We define, monitor and advance the company´s security strategy. We are looking for a self-starter who is happy to challenge the status quo of existing processes - aiming towards improving their efficiency and developing the solutions supporting them.
As part of the Security Insights team, you will be responsible for enabling the Security team to make data driven decisions, by providing dashboards and insights.
In your role, you will...
- Build and manage robust data infrastructure, including data storage, processing, transformation, and visualization tools, using the Azure cloud-based platform and related technologies (such as Terraform)
- Implement and maintain CI/CD practices for data applications and infrastructure, automating deployment, testing, and monitoring processes
- Collaborate with data analysts, and business stakeholders to understand their requirements and provide technical support to enable seamless data access, transformation, and analysis
- Optimize data processing and ETL workflows, continuously monitoring and improving their performance, reliability, and scalability
- Ensure data security and quality standards are upheld throughout the data lifecycle, implementing appropriate data governance processes and best practices
Your qualifications
Nobody is perfect and meets 100% of our requirements. If you, however, meet some of the criteria below and are curious about the world of cyber security and data insights, we´ll be more than happy to meet you!
What we need from you:
- Experience with data engineering frameworks (e.g., Synapse, Databricks, Apache Spark, Hadoop).
- Experience with automation tools and technologies such as Terraform
- Experience with relational databases (e.g., SQL server, Oracle, SQL, MySQL)
- Proficiency in any programming language, examples include SQL, Python, PowerShell, C#, and R
- Experience with CI/CD pipelines and tools such as Azure Dev-ops, Jenkins or GitLab
- Good communication skills in spoken and written English
Nice-to-have:
- Understanding of technologies related to information security, vulnerability management, and Identity & Access Management
- Relevant work experience as a DevOps Engineer or similar role
- Experience with other cloud platforms such as AWS and GCP
- Experience with containerization technologies such as Docker and Kubernetes
- Experience with Agile and DevOps methodologies
We provide feedback to all candidates. If you have not heard from us, please check your spam folder.
For Spain, the base salary range for this position is between [EUR 41,000] and [EUR 69,000] (for a full-time role). The specific salary offered considers:
the requirements, scope, complexity and responsibilities of the role,
the applicant´s own profile including education/qualifications, expertise, specialisation, skills and experience.
In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.
Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.
Veure més
No et perdis res!
Uneix-te a la comunitat de wijobs i rep per email les millors ofertes d'ocupació
Mai no compartirem el teu email amb ningú i no t'enviarem correu brossa
Subscriu-te araDarreres ofertes d'ocupació de Enginyer/a de Dades a Madrid
Cloud Engineer/jr Architect. AWS y/o AZURE
21 de marçMichael Page
Madrid, ES
DevOps Engineer
21 de marçSerem
Ingeniero/a DevOps
21 de marçCAS TRAINING
Ingeniero/a de Datos - Snowflake Power BI
20 de marçDigital Talent Agency
Data Engineer - Fintech
20 de marçEbury
Madrid, ES
Data Engineer
20 de marçKrell Consulting & Training
Madrid, ES
Data Engineer (Spark Scala SQL)
19 de marçCAS TRAINING
Senior Data Engineer - Fintech
18 de marçEbury
Madrid, ES
Data Engineer
17 de marçrebAI
Madrid, ES