Middle Data Engineer

The people we all rely on to make the world go round – they rely on Thales.  Thales rely on its employees to invent the future: right here, right now.

Present in Romania for over 40 years, Thales is expanding its presence in the country by growing its Digital capabilities and by developing a Group Engineering Competence Centre (ECC). Operating from Bucharest, Thales delivers solutions in a number of core businesses, from ground transportation, space and defence, to security and aeronautics.
Several professional opportunities have arisen. If you are looking for the solidity of a Global Group that is at the forefront of innovation, but with the agility of a human structure that tailors to the personal development of its employees and allows opportunities for evolution in an international environment, then this is the place for you!

Background:

We are seeking a passionate Data Engineer to join our Engineering Project Dashboard team aiming to provide KPIs and metrics to monitor engineering activities of projects' engineering work packages. Customers of Engineering Dashboard digital services are spread all around the world, leading teams with different granularity, and looking for contextual information related to their projects.

Mission:

Our Data Engineer colleague will define and implement data transformation from a Data Lake dedicated to engineering in order to be exploited through Power BI. The goal is to produce Engineering Project Dashboard team aiming to provide KPIs and metrics to monitor engineering activities of projects' engineering work packages.

Main responsibilities:

• Data Transformation: clean, normalize, and transform data to ensure it is in a suitable format for the organization needs. This may involve data manipulation, joining different datasets, applying statistical functions, converting data types.

• Handling vague metrics, deciphering inherited projects, and defining customer records.

• Data Extraction: identify and extract relevant data from various sources, including databases, CSV files, APIs, PDF, and other systems.

• Data Loading: load transformed data into appropriate storage systems

• Data Validation and Quality Assurance: ensure the accuracy and integrity of data throughout all stages of the ETL process. Perform and integrate quality checks and tools to identify and correct errors or discrepancies.

• Documentation: create and maintain documentation related to data flows and model, transformations applied, and validation procedures.

• Data Analysis: use loaded data analyze data distributions, visualize patterns, to extract valuable insights, generate reports, identify trends, and support data-driven decision-making.

• Stay in touch with the Group Data Management in various function, to ensure alignment with the recommendations and strategies.

• Maintain clear and close collaboration with both the development team and the project stakeholders/ key users.

Who are you:

• Bachelor's degree in Computer Science, Information Systems, Data Modeling, Data Science, or a relevant experience

• High-value skills to tackle specific analytical problems

• Good knowledge of Power BI and dashboarding

• Proven data engineering skills

• Very good statistical data analysis skills, including processes, tools and attention to detail

• Good knowledge of relational SQL database

• Good communication and relationship with the stakeholders and team members

• Capable to give and receive feedback; able to listen and share, able to give constructive feedback

• English knowledge; French would be a plus

• Agile mindset & practices