Level

Thales

Data Engineer

Thales is hiring a Data Engineer in Singapore, Singapore. Level rates it ; you can apply on Thales.

Level's read on this job

  • On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a mid-level role.
  • Thales has 3,200+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

As a Data Engineer, you will be part of a multidisciplinary team.

Under the supervision of the Head of PMO, you will bring your expertise and cooperate closely with the other members of the Regional Company: Partnership coordinator, Legal Director, Legal Counsels, Partnership Managers, COO, CCO and CFO.

You will also be required to interact directly with internal stakeholders based in France, Europe and the ASIA region.


Responsibilities

  • Design, Develop and Optimize Data Pipelines: Maintain and develop our current data pipelines using Knime, Power Query and SQL.

 

  • Manage Databases: Oversee the organization’s databases, ensuring they are optimized for performance and security and coordinate with the various database owners.

 

  • Data Integration: propose the integration of new data management technologies and software engineering tools to optimize the operational process of the department.

 

  • Data Quality Assurance: Collaborate with all the data owners to implement processes that ensure data reliability, efficiency, and quality, including data cleaning and validation. Implement and maintain a robust Row-Level Security.

 

Collaboration:

  • Work closely with all the department stakeholders (Operation, Legal and Finance) to understand their data needs and provide the necessary support for data-driven decision-making
  • Coordinate with peers based in Dubai and Madrid to benchmark, support and deploy BI solutions.
  • Coordinate data collection from the ASIAN region Key Account managers to centralize and report to Thales Operating Units
  • undefined

Data Organization and Information Communication: 

  • Create and maintain our current dynamic data report on Power BI.
  • Propose evolutions or new data reports to support evolving business needs and decisions making.
  • Document the whole technical process developed 

Perform additional duties as required to support the evolving needs and objectives of the department 


Requirement 

  • Master's degree in computer science, Information Security, or a related field (or equivalent experience).
  • Minimum 3 years' experience of Data Engineering/Analyst.
  • Strong experience with data visualization tools (e.g., Power BI, Qliksense, Tableau), preferably Power BI with at least 3 years’ experience with it.
  • Experience in ETL: KNIME (mandatory minimum 1 year), Power Query, Talend
  • Familiarity with cloud-based data platforms (e.g., Power Platform, Sharepoint, Cryptobox), Power Platform is highly desirable.
  • Proficiency in SQL, DAX, M, VBA, Python.
  • Strong understanding of database systems (e.g., Oracle, SQL Server, MySQL, PostgreSQL, Access) and RLS (access management).
  • Proven experience in database migration.

Desired Competencies

  • You have excellent problem-solving skills, and communication skills to engage technical and non-technical audiences.
  • Demonstrated ability to achieve effective outcomes in a multidiscipline, multi-culture environment.
  • Capability to engage and align multiple stakeholders with distinct objectives.
  • Proficient in delivering and receiving feedback, fostering open dialogue, and offering actionable input.
  • A positive attitude combined with excellent interpersonal and motivational skills.
  • Agile mindset & practices.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

How we rate this

Data Engineer at Thales rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

Typical data engineer job
$150k

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