Alpha X Technology

Alpha X Technology provides AI-powered automation and robotics to improve manufacturing efficiency. It uses AI, machine learning, and robotic systems to optimize production processes. The company targets B2B manufacturing customers across high-tech industries, integrating automation and AI-driven insights. Its solutions aim to raise product quality, reduce waste, and support sustainable operations.

AI Driven Manufacturingalphaxtec.com

Alpha X Technology

AI Driven Manufacturingalphaxtec.com

HQSingapore, SG

Team Size14

Open Jobs14

Total Funding-

Latest FundraiseUnknown

Join the Team

Data Engineer

On-SiteSG

On-Site • SG

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Frontend Developer

ContractLondon, GB

Contract • London, GB

DevOps Engineer

ContractNiš, RS

Contract • Niš, RS

Backend Developer

ContractHaifa

Contract • Haifa

Mobile Developer

Full-timeBerlin, DE

Full-time • Berlin, DE

Product Designer

InternshipRotterdam, NL

Internship • Rotterdam, NL

DevOps Engineer

Part-timeBerlin, DE

Part-time • Berlin, DE

We are looking for a Data Engineer to join our team and contribute to a major project within the semiconductor manufacturing domain. The role involves designing and implementing data pipelines, managing data environments, and supporting end-to-end BI processes — from data ingestion to visualization. This position is based on-site at our partner’s advanced manufacturing facility in the East, offering hands-on exposure to large-scale industrial data systems.

Key Responsibilities

Design and create robust data models to support efficient querying and reporting.
Define relationships, hierarchies, and calculated columns/measures that align with business logic
Design, develop, and maintain data pipelines and ETL workflows for manufacturing data (ERP, MES, SPC, FDC, etc.).
Implement and optimize database logic, including stored procedures, functions, and PL/SQL scripts.
Build and manage staging schemas, data validation processes, and data transformation logic.
Develop and maintain data marts and dimensional models to support analytics and reporting.
Collaborate with BI developers and analysts to deliver Power BI dashboards, KPI reports, and visual analytics.
Ensure data accuracy, consistency, and completeness across multiple source systems.
Support data governance, documentation, and performance tuning efforts.
Partner with internal and external stakeholders to ensure timely and high-quality data delivery for business use.
Perform any ad-hoc duties assigned by the Company as and when required.

Qualifications & Skills

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
Minimum 3 years of experience in data engineering, data integration, or BI development.
Strong understanding of data warehousing concepts, schema design, and ETL best practices.
Solid working experience with relational databases (e.g. SQL Server, MySQL, PostgreSQL), including stored procedures and query optimization.

Preferred / Additional

Experience in semiconductor or manufacturing systems (ERP, MES, SPC, FDC) preferred.
Exposure to data replication frameworks (Oracle Golden Gate, SharePlex, AWS Glue) is an advantage.
Familiarity with cloud-based data warehouses (Snowflake, Redshift, Synapse) and Giga Report is a plus.
Knowledge of data governance frameworks, metadata management, and data security best practices.