Senior Cybersecurity Data Engineer - Hybrid, Flexible Hours

ITDS Polska Sp. z o.o.

Kraków

Hybrid

PLN 180.000 - 280.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Stabilna i długoterminowa współpraca
Atrakcyjny pakiet medyczny
Karta Multisport
Dostęp do Pluralsight
Elastyczne godziny pracy

Qualifikationen

  • Co najmniej 5 lat doświadczenia w inżynierii danych.

Aufgaben

  • Projektowanie, implementacja, ulepszanie i wsparcie przepływów danych oraz technologii związanych z analizą.
  • Budowa i utrzymanie potoków danych i busów danych pobierających informacje z różnych źródeł.
  • Transport i dostarczanie danych do hurtowni danych i jezior danych w wymaganym formacie.
  • Stosowanie zaawansowanych technik manipulacji danymi, aby zapewnić dostępność i użyteczność danych.
  • Zapewnianie jakości, bezpieczeństwa i zgodności danych z wymogami regulacyjnymi i systemowymi.
  • Wsparcie techniczne dla interesariuszy w środowisku naukowym i analitycznym.
  • Wdrażanie kontroli zarządzania danymi, w tym pochodzenia, metadanych, reguł jakości danych, kontroli dostępu i polityk retencji.

Kenntnisse

Data engineering
Cybersecurity awareness
Communication to diverse audiences

Tools

Azure Data Factory
Azure Databricks
Azure Functions
Azure Logic Apps
Azure Monitor
Azure Log Analytics
Azure Data Lake
S3
Synapse Analytics
Power BI
Azure DevOps
Bash/PowerShell
Azure CLI
Python
Spark
SQL
Kusto
Git
CI/CD

Jobbeschreibung

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
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