Data Engineer (Software Asset Management)

Thales is hiring a Data Engineer (Software Asset Management) in Jakarta, Indonesia. Level rates it ; you can apply on Thales.

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Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
Thales has 3,600+ other open roles on Level.
Posted in the last few days.

AI in this role

Location: Jakarta, Indonesia

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.

Thales has been present in the Republic of Indonesia for 45 years in the defence, aerospace and space domains, delivering a wide range of civil and defence solutions that highlight our strong commitment to working with the Indonesian government and local stakeholders. In recent years, our innovative solutions in air traffic management systems and telecom satellites have further strengthened our presence in the country alongside our digital portfolio of solutions such as biometrics, data protection and cybersecurity now serving the needs of diverse customers in civil sectors.

Data Engineering

CANDIDATES THAT WOULD IMPRESS US

PROFILE:

Bachelor's degree in computer science or related fields
Fluent in English

COMPETENCIES:
Professional Experience

Experience in gathering prescriber requirements and writing the corresponding low-level requirements

Experience in designing, developing and deploying analytics / PKI solutions

Technical Skills

· Advanced knowledge in algorithms, development in Python, Visual Basic, M language (Power Query in Power BI ) as well as ETL

· Advanced proficiency in an analytics tool (e.g., Power BI) è design and build reports with UX considerations

Soft Skills

· Autonomy in a time-zone-shifted management (while staying within the guidelines).

· Ability to interact with counterparts remotely and produce concise reporting

· Ability to escalate appropriately (strong analytical and problem-solving skills).

· Strong verbal and written communication skills for both technical and non-technical audiences.

· Ability to effectively manage relationships with prescribers and end-user of the application

LIFE AS A THALES DATA ENGINEERING ROLE

As a Data Engineering Role within Thales, you will:

· Write / consolidate detailed specifications in collaboration with the Service Owner (IS-IT SwAM team)

· Identify and design the underlying data model

· Identify the relevant data sources, coordination with the teams responsible for the data sources (data lake/warehouse)

· Establish a development / delivery schedule, keeping it updated, report on progress, and raise alerts if necessary

· Implement / develop the monitoring / KPI solutions (applying internal guidelines, development best practices)

Document the implementation and operating procedures / user guide

YOUR CAREER AT THALES

Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas:

Room and attention to personal development
Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution
Choose between a technical expertise or a leadership path
Build an international career within a leading Engineering Group

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 (Software Asset Management) at Thales rates 29 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.