Data Engineer: AI/ML Pipelines & Digital Twin

Thales Group; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Company transport from MRT

Job summary

Thales Group is seeking a data/AI specialist to design and implement scalable data pipelines, dashboards, and digital twin data inputs. You will collaborate with data scientists and domain experts to translate business problems into measurable analytics and ML solutions.

You will lead data quality, real-time data integration, and AI-focused projects, leveraging PowerBI and Flask to deliver intuitive visualizations for stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• Proficiency in Python and SQL; experience with Hadoop/Spark.
• Hands-on experience with SQL and NoSQL data stores such as PostgreSQL.
• Strong analytical skills and ability to work with large datasets.
• Dashboarding and Web Tech: PowerBI, Flask, building interactive dashboards.
• Data for Digital Twin Simulation: model, simulate, and ingest data via JSON/XML/APIs.
• Familiarity with Retrieval-Augmented Generation (RAG) and chatbot frameworks.

Responsibilities

• Work with data scientists to understand needs and provide required data.
• Translate business problems into analytical/AI modelling and metrics.
• Design, build, and maintain scalable data pipelines and interfaces.
• Lead end-to-end solution cycle: discovery, modelling, pilot, deployment, monitoring.
• Collect and preprocess data; ensure data quality for analysis.
• Collaborate with data engineers to obtain data from industrial sources.

Skills

Python

SQL

Big data

Education

Bachelor's degree

Tools

Hadoop

Spark

PostgreSQL

Job description

Thales Group is seeking a data/AI specialist to design and implement scalable data pipelines, dashboards, and digital twin data inputs. You will collaborate with data scientists and domain experts to translate business problems into measurable analytics and ML solutions.

You will lead data quality, real-time data integration, and AI-focused projects, leveraging PowerBI and Flask to deliver intuitive visualizations for stakeholders.