Senior Cybersecurity Data Engineer – Azure

Empower cybersecurity through data — build intelligent pipelines that turn complex information into measurable risk reduction!

Krakow-based opportunity with a hybrid work model, including a minimum of 6 days per month from the office and up to 3 remote days per week.
As a Senior Cybersecurity Data Engineer, you will be working for our client, supporting the Cybersecurity Risk Quantification team in developing, implementing, and managing a mathematical model that measures how improvements to the control environment reduce risk exposure. Working within the wider Cyber Science & Analytics team, you will enable cybersecurity functions to protect the organization through reliable data engineering and innovative capabilities.

Your main responsibilities:
• Design, implement, improve, and support data flows and data-related technologies for analytics initiatives.
• Build and maintain data pipelines and data buses that collect information from disparate internal and external sources.
• Transport and deliver data to data warehouses and data lakes in the required format.
• Apply advanced data manipulation techniques to ensure data availability and usability throughout data flows.
• Ensure data quality, security, and compliance in line with regulatory and system requirements.
• Provide ongoing technical support to stakeholders within and outside the science and analytics environment.
• Implement data governance controls, including lineage, metadata, data quality rules, access controls, and retention policies.

You're ideal for this role if you have:
• At least 5 years of experience in data engineering.
• Experience deploying complex cloud data and big data systems.
• Experience applying data engineering methods within the cybersecurity domain.
• Proven ability to design, build, and maintain data pipelines and ETL workflows across disparate datasets.
• Experience with Azure Data Factory, Azure Databricks, Azure Functions, Azure Logic Apps, Azure Monitor, Azure Log Analytics, Azure Data Lake Store, S3, Synapse Analytics, and/or Power BI.
• Practical knowledge of Azure DevOps, Bash or PowerShell, Azure CLI, Python, Spark, SQL, Kusto Query Language, Git, and CI/CD systems.
• Advanced understanding of data transport, data pipelining, data cleansing, and data quality methods.
• Experience analyzing incoming datasets, understanding schemas, and deriving schemas for data without existing structures.
• Understanding of model lifecycle controls and experience working within data governance frameworks in a regulated environment.
• Ability to communicate complex technical issues clearly and effectively to diverse audiences.

It is a strong plus if you have:
• Experience with PMP or PRINCE2 methodologies.
• Knowledge of Scrum or Kanban program management methods.

Language Required for the role: Fluent English.Eligibility for the role: Only candidates with an existing legal right to work in Europe will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.