Senior Cybersecurity Data Engineer – Azure

ITDS; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

ITDS in Kraków is seeking a Senior Cybersecurity Data Engineer to join our Cyber Science & Analytics team. You design and maintain data pipelines, build data lakes, and implement governance controls to measure how security improvements reduce risk.

The role is hybrid, with 6+ days in the office and up to 3 remote days per week. You will work with Azure data services, Python, SQL, Spark, and CI/CD, collaborating with stakeholders to deliver reliable, compliant data for analytics and risk

Qualifications

• At least 5 years of experience in data engineering.
• Experience deploying cloud data and big data systems.
• Experience in cybersecurity domain data engineering.

Responsibilities

• Design, implement, and support data flows and analytics data technologies.
• Build and maintain data pipelines and data buses from multiple sources.
• Deliver data to data warehouses and data lakes in required formats.
• Apply data manipulation to ensure availability and usability across data flows.
• Ensure data quality, security, and compliance with regulations.
• Provide ongoing technical support to stakeholders.
• Implement data governance including lineage, metadata, and retention policies.

Skills

Data engineering

Big data systems

Data governance

Stakeholder communication

Tools

Azure Data Factory

Azure Databricks

Azure Functions

Azure Logic Apps

Azure Monitor

Azure Data Lake Store

S3

Synapse Analytics

Power BI

Python

Spark

SQL

Kusto Query Language

Git

CI/CD

Bash/PowerShell

Azure CLI

Job description

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.