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.
Join us, and engineer solutions that keep businesses safe and secure!
Kraków – based opportunity with hybrid work model (6 office days per month).
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
requirements-expected :
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
offered :
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
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to MultiSport Program
Access to Pluralsight
Flexible working hours
benefits :
sharing the costs of sports activities
private medical care
flexible working time
fruits
integration events
corporate gym
mobile phone available for private use
computer available for private use
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
