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Thales

Data engineer

Thales is hiring a Data engineer in Bucharest, Romania. 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.
  • Level classifies it as a mid-level role.
  • Level lists 3,600+ other open roles at Thales.
  • The role was posted in the last few days.

AI in this role

Location: Bucharest, Romania

This role is part of a large-scale SAP ECC6 to S/4HANA migration program for a major international organization. As a core member of a dedicated Data Migration Squad, you will be responsible for building and maintaining the transformation and loading pipelines that sit at the heart of the migration

delivery.

You will work closely with the Technical Lead and your fellow data engineers to ensure that data flows reliably, accurately, and on time from the source ECC6 environment to the target S/4HANA platform.


WHO ARE YOU?

You have solid hands-on experience designing and building ETL pipelines in complex data environments?

You are comfortable working with large volumes of heterogeneous data, and you know how to handle edge cases, rejections, and transformation complexity?

You are rigorous and detail-oriented — you care about the quality of what you deliver, not just whether it runs?

You enjoy working in a team, sharing knowledge, and improving practices collectively?

You are curious about SAP data landscapes, or already have some exposure to them?

Then this role is made for you.

WHAT WE CAN ACHIEVE TOGETHER

You will join a dedicated squad of 4 data professionals, embedded within a broader SAP program team.

You will work in close collaboration with the Technical Lead and contribute to the delivery of migration pipelines across all in-scope data objects, in an agile delivery mode with iterative development and

regular validation cycles.

By joining us, you will play a hands-on role in one of the most technically challenging phases of a major international transformation program.


Your mission will include:

• Designing, developing, and maintaining ETL pipelines for data extraction, transformation, and loading

• Implementing transformation rules based on mapping specifications defined with the Technical Lead

• Participating in data quality checks, reconciliation processes, and error handling

• Documenting pipeline logic, transformation rules, and technical decisions

• Contributing to the continuous improvement of delivery practices within the squad

WHAT YOU BRING

Senior Data Engineer

• 2–4 years of experience in data engineering or ETL-focused roles

• Comfortable implementing pipelines based on defined specifications

• Eager to grow in a structured migration context


ETL & Data Engineering

• Solid hands-on experience with at least one ETL platform (Talend, Informatica, SSIS, or equivalent)

• Strong understanding of data transformation patterns and pipeline design

• Experience working with large and complex datasets

• Familiarity with data quality concepts — validation rules, rejection handling, reconciliation


Soft Skills

• Rigorous and detail-oriented approach to delivery

• Ability to work collaboratively in a small, fast-moving team

• Good communication skills — able to discuss technical topics with both engineers and functional stakeholders


NICE TO HAVE

Exposure to SAP data structures or SAP migration projects

Familiarity with SAP migration tools (BODS, Syniti/SNP, or equivalent)

Experience working in an agile delivery environment

Knowledge of cloud-based data platforms (Azure, GCP, AWS)



YOUR CAREER AT THALES

Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competencies 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.

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 defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.

How we rate this

Data engineer at Thales rates 30 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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