Senior Cybersecurity Data Engineer – Azure

Nasze wymagania:
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.

Mile widziane:
Experience with PMP or PRINCE2 methodologies.
Knowledge of Scrum or Kanban program management methods.

O projekcie:
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.
Only candidates with an existing legal right to work in Europe will be considered for this role.

Zakres obowiązków:
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.

Oferujemy:
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 hours