Data Engineer (Cybersecurity, Python, SQL, ETL) 🛡️💸

Join us, and engineer solutions that keep businesses safe and secure!

Kraków - based opportunity with hybrid work model (6 office days per month).

As a Data Engineer, you will be working for our client, a global financial institution committed to cybersecurity excellence. You will be part of the team, specifically focusing on network security data analytics and engineering. Your primary role will be to support the development of a robust Network Security Data Lakehouse within a Cyber Azure Data Lake. You will process billions of records daily, ensuring data is clean, structured, and optimized for security monitoring and automation. This role requires expertise in data pipeline design, database integration, and big data processing, contributing to the security and reliability of global business operations.

Your main responsibilities:

• Designing, building, and testing multi-layered data architecture and efficient data pipelines
• Performing in-depth analysis of large and complex datasets to extract insights and generate statistical metrics
• Developing software and systems to acquire, aggregate, and refine data
• Using data tools to integrate data across different databases, systems, and platforms
• Optimizing data query performance to enhance efficiency and accessibility
• Participating in data ingestion, sourcing, aggregation, APIs, and feature engineering
• Collaborating with stakeholders to understand data and align deliverables with business requirements
• Applying software development best practices to write efficient, reusable, and maintainable code
• Working with Agile development methodologies, including test-driven development
• Continuously developing and enhancing your data engineering and cybersecurity skills

You're ideal for this role if you have:

• Significant experience in Python and SQL programming for data engineering
• Expertise in designing, building, and maintaining data pipelines and ELT workflows
• Strong knowledge of data profiling, analysis, and pipeline design
• Experience with streaming pipelines and big data processing
• Familiarity with Azure DevOps, CI/CD systems, and software versioning control (e.g., Git)
• Understanding of applying data engineering methods to cybersecurity
• Ability to work with structured and unstructured data across various sources
• Strong problem-solving skills and attention to detail
• Experience in working with cloud-based data platforms, particularly Azure Databricks
• Excellent communication and collaboration skills

It is a strong plus if you have:

• Experience in machine learning model development for cybersecurity applications
• Knowledge of Power BI or other data visualization tools
• Understanding of medallion architecture in data lake environments
• Exposure to DevSecOps practices in cybersecurity and data engineering

We offer you:

ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious and driven people. The offer includes:

• Stable and long-term cooperation with very good conditions
• Enhance your skills and develop your expertise in the financial industry
• Work on the most strategic projects available in the market
• Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
• Participation in Social Events, training, and work in an international environment
• Access to an attractive Medical Package
• Access to Multisport Program

#GETREADY

Internal job ID #6745

You can report violations in accordance with ITDS’s Whistleblower Procedure available here.