In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

JOB OBJECTIVE

As Data Engineer, you will participate in the different phases of Thales
Digital Transformation Projects by collecting, modeling, and rendering our data in order to help end user to perform an accurate analysis of their business through reports and Dashboards.

Roles and Responsibilities

• Assembling large, complex sets of data that meet non-functional and
  functional business requirements
• Developing reusable ETL Jobs use cases
• Conception of connectors/jobs
• Development of Talend Jobs, deployment and commissioning
  of the interfaces
• Identifying, designing and implementing internal process
  improvements including re-designing infrastructure for greater
  scalability, optimizing data delivery, and automating manual
  processes
• Building required infrastructure for optimal extraction,
  transformation and loading of data from various data sources
  using ETL and SQL technologies
• Building analytical tools to utilize the data pipeline, providing
  actionable insight into key business performance metrics including
  operational efficiency and customer acquisition
• Significate experience on data engineering Cloud environment
  (azure), especially on data services (incl. ADLS Gen 2, Synapse,
  ADF, Azure SQL DB, Analysis Services, Power Bi Services
• Highly skilled in Microsoft SQL Server Stack (Data Base Engine,
  Integration Services, Analysis Services, Power BI Reporting
  Services
• Advanced SQL, DAX, MDX and Query performance tuning Skills
• Very good Knowledge on Design Pattern of Data Product
• Demonstrate ability to manage multiple interfaces & deal with IT
  resources in international context
• Familiar with fully automated CI/CD Pipelines (Azure DevOps)
  for code deployment, integration and test automation, code
  quality and orchestration for automated build and release.
• Ability to manage Row Level Security on each Layer of the data
  Chain
• Familiar with ETL Feeding mechanisms (Delta/Full Loading
  ,Historical data)
• Experience Building and Interacting with Data Lake Solutions
• Good knowledge on agile methodology
• Working with stakeholders including data, design, product and
  executive teams and assisting them with data-related technical
  issues
• Build Data Warehouses, Data Marts and Data Cubes
• Maintain the ETL in operational condition
• Working with stakeholders including the Executive, Product, Data
  and Design teams to support their data infrastructure needs while
  assisting with data-related technical issues
• Experience using dbt for data transformation and modeling.
• Familiarity with distributed query engines such as Trino (or
  equivalent).
• Knowledge of object storage systems such as MinIO (or
  equivalent).
• Strong understanding of modern data architectures, including the
  medallion architecture
• Nice to have: Experience with scalable data pipelines on GCP
  (BigQuery, GCP, Dataproc)
• Support the qualification of the projects, extraction, transformation
  and load of the data (Data Scoping / Discovery)
• Technical Framing : Feasibility study, expression of needs,
  estimation of the load and timeframe
• Writing Technical Specifications
• Ensure documentation of achievements
• Enrich solution components catalogue
• User Support
• Customer oriented
• Quality minded and proactive approach

QUALIFICATION, CERTIFICATION & EDUCATIONAL REQUIREMENTS

• Tools:

Talend Studio, Talend Data Integration Platform, Gitlab, Azure
DevOps, Visual Studio, SQL server Management Studio, Dax Studio,
Tabular editor

• Expertise:

CI/CD notions, Data Modeling, Talend, SQL,Agile,SSAS

• Educational:

In a master’s degree in computer science/statistics/mathematics fields

PREFERRED SKILLS

• Fluency in English, both written and verbal.
• Excellent communication and presentation skills.
• Team work and willing to perform trough cooperation.
• Strong attention to details.
• Willingness for change and solving problem.
• Be passionate about digital transformation.
• Strong analytical mindset.
• Data oriented.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!