Data Engineer (Azure)

ALTEN Polska

Kraków

Hybrid

PLN 180,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Medicover medical care
Medicover dental care
Medicover Benefits platform
Medicover Sport card
Referral Program
Layette for a newborn employee’s child
Group life insurance
Pension scheme

Job summary

ALTEN Polska is seeking a Data Engineer in Kraków to join the Cyber Science and Analytics team within the Data Engineering practice. You will design and build data pipelines, leverage cloud technologies, and contribute to data-driven security measures and business decisions.

The role requires strong data engineering and collaboration skills, with exposure to Azure data services and governance practices. Hybrid work arrangement and long-term opportunities are offered.

Qualifications

  • Strong background in data engineering with experience deploying complex cloud data and big data systems.
  • Experience applying data engineering methods to the cybersecurity domain.
  • Familiarity with project management methods (PMP/Prince2, SCRUM, Kanban) is a bonus.
  • Ability to communicate complex technical issues clearly to diverse audiences.

Responsibilities

  • Design, improve, and implement data pipelines and data buses collecting data from multiple sources.
  • Process data to be available in data warehouses and data lakes across systems.
  • Ensure data quality, security and compliance within regulatory requirements.
  • Provide ongoing support to customers within and external to the CS&A environment.
  • Apply data governance: lineage, metadata, data quality rules, access control and retention.

Skills

Strong data engineering background
Cybersecurity domain data engineering
PM/Prince2/SCRUM/Kanban knowledge
Clear communication of complex topics

Tools

Azure Data Factory
Azure Databricks
Azure Functions
Azure Logic Apps
Azure Monitor
Azure Log Analytics
Azure Data Lake Store
Synapse Analytics
PowerBI
Azure DevOps
Python
SQL / Kusto
Git / CI/CD

Job description

Why us?

We are part of the ALTEN Group – a leading European provider of engineering and technology consulting servics.

Join ALTEN Polska and let’s grow together!

Location: Kraków- hybird work (6 x month)

In this role, you will:

The Data Engineer will work very closely with wider Cyber Science and Analytics (CS&A) team under the Principal Engineer in the Data Engineering practice. This function is enabling the Cyber function to protect company by leveraging data and innovative capabilities to create effective and proactive security measures, as well as enabling data driven business decisions.

Tasks associated with this role include:
  • Designing, improving and implementing data pipelines and data buses that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to our data warehouses and data lakes.
  • Using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring such data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow.
  • Working within the regulatory, and system requirements, to ensure data quality, data security, data compliance needs are met.
  • Provide ongoing support to the customers within, and external to, the science and analytics environment.
  • Apply data governance controls: lineage, metadata, data quality rules, access controls and retention where required.
Key Skills and Qualifications:
Skills
  • A strong background in data engineering, with experience in deploying complex cloud data and big data systems
  • Understanding in applying data engineering methods to the cyber security domain
  • Experience in PMP/Prince2, SCRUM, and Kanban program management methods (nice to have)
  • An ability to communicate complex and technical issues to diverse audiences, orally and in writing, in an easily-understood, authoritative and actionable manner.
Technical Skills
  • Experience designing, building, and maintaining data pipelines and ETL workflows across disparate data sets
  • Experience with common data engineering tooling such as Azure Data Factory, Azure Databricks, Azure functions, Azure Logic App, Azure Monitor, Azure Log Analytics, Azure Data Lake Store, S3, Synapse Analytics and/or PowerBI.
  • Experience with Azure DevOps, ability to script (bash/Powershell, Azure CLI), code (Python, Spark), query (SQL, Kusto query language) coupled with experience with software versioning control systems (e.g. git) and CI/CD systems.
  • Advanced understanding of data transport, data pipelining, data cleaning, and data quality methods
  • Demonstrated ability to analyze incoming data sets and rapidly understand schemas of same, coupled with the ability to investigate and derive schemas for data sets for which we have no existing schema.
  • Understanding of model lifecycle controls (e.g., model documentation, monitoring, change control) and experience working within data governance frameworks (data quality, lineage, metadata, access control) in a regulated environment.
We offer

We offer a full-time employment contract

  • Stable and long-term cooperation
  • Well-defined career path at the European leader in engineering & IT consulting
  • Opportunity to relocate and work in different ALTEN Polska branches
  • After completion of the project, opportunity to engage in a subsequent one within the company
  • Introduction and cooperation with dedicated Competences Manager
Benefits:
  • Medicover medical care
  • Medicover dental care
  • Medicover Benefits platform
  • Medicover Sport card
  • Referral Program
  • Layette for a newborn employee’s child
  • Group life insurance
  • Pension scheme

We also offer cooperation based on a B2B or Contract of mandate (UZ)

We also guarantee:
  • Access to professional certifications with our technology partners (e.g. Google, ISTQB)
  • Access to relevant industry events
  • Access to the Knowledge Sharing Program
  • Access to Referral program

NOTICE: We kindly inform you that we will contact the selected people.

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