Lead Data Engineer

Join us, and enhance data analytics capabilities for a secure digital future!

Kraków – based opportunity with hybrid work model (6 days/month in the office)

As a Lead Data Engineer, you will be working for our client, a global leader in cybersecurity and data analytics. The Client’s team focuses on advancing cybersecurity capabilities through innovative data engineering and analytics solutions. You will be contributing to the development and enhancement of their data lake and analytics platform, supporting cutting-edge technologies and cloud infrastructures. Your role will involve collaborating with data engineers and cybersecurity professionals to build scalable data pipelines and ensure the continuous growth of security analytics systems.

Your main responsibilities: Designing and implementing data pipelines for cybersecurity use cases

• Ingesting and provisioning raw datasets and curated data assets
• Driving improvements in the reliability and frequency of data ingestion
• Supporting and enhancing data ingestion infrastructure and pipelines
• Automating and optimizing data engineering workflows
• Identifying and onboarding new data sources for cybersecurity use
• Conducting exploratory data analysis for new schemas
• Collaborating with platform engineers for cloud infrastructure and platform engineering
• Ensuring the operational efficiency of production data pipelines
• Monitoring and enhancing cloud-based data transport and data cleaning processes

You’re ideal for this role if you have:

• 5+ years of experience in data engineering or cloud infrastructure engineering
• Proficiency in programming languages like Python, Java, or C#
• Experience with cloud technologies, especially Azure (Azure Data Factory, Azure Databricks, etc.)
• Strong understanding of data engineering principles and data pipeline design
• Expertise in building and maintaining ETL workflows across disparate datasets
• Knowledge of data acquisition, cloud-based data pipelines, and data transport
• Experience with SQL, Kusto query language, or similar query languages
• Familiarity with cloud cost optimization and data asset curation
• Ability to work in a fast-paced, collaborative environment
• Knowledge of cybersecurity principles (preferred but not required)

It is a strong plus if you have:

• Experience with Infrastructure-as-Code tools such as Terraform or Ansible
• Familiarity with big data technologies like Kafka, Spark, and streaming services
• Previous exposure to Security Information & Event Management (SIEM) systems
• Experience in real-time analytics deployment for large-scale datasets
• Understanding of cybersecurity frameworks such as NIST, ISO27001, or OWASP
• Knowledge of cloud security practices and network protocols
• Experience with cloud-based security orchestration, automation, and response (SOAR) technologies

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #6917