Engineer / Senior Engineer Data Architecture Engineering
Your Role
Key responsibilities in your new role
Define and optimize data structures and architectures
to ensure availability, accessibility, and performance Design and implement scalable data pipelines (ETL/ELT)
to process structured and unstructured data (e.g., sensor and image data) Collaborate closely
with data scientists, business analysts, and engineering teams in AI and advanced analytics projects Translate business requirements
into technical solutions for data management and processing Drive innovation by
introducing new technologies
and
improving data architecture Your Profile Qualifications and skills to help you succeed Minimum 1 years of experience
in data engineering, big data, or a related field Minimum Bachelor Degree
in Computer Science / Data Science or equivalents Proven experience
building and maintaining scalable data pipelines and production data systems Strong hands-on experience with
Python (Pandas, NumPy) and SQL inreal-world projects Experience working with
relational and NoSQL databases and modern data architectures Practical experience collaborating in cross-functional AI/data science teams Hands-on experience with
agentic workflows and AI orchestration frameworks
(e.g., MCP, LangChain, multi-agent systems) is a plusYour Role
to ensure availability, accessibility, and performance Design and implement scalable data pipelines (ETL/ELT)
to process structured and unstructured data (e.g., sensor and image data) Collaborate closely
with data scientists, business analysts, and engineering teams in AI and advanced analytics projects Translate business requirements
into technical solutions for data management and processing Drive innovation by
introducing new technologies
and
improving data architecture Your Profile Qualifications and skills to help you succeed Minimum 1 years of experience
in data engineering, big data, or a related field Minimum Bachelor Degree
in Computer Science / Data Science or equivalents Proven experience
building and maintaining scalable data pipelines and production data systems Strong hands-on experience with
Python (Pandas, NumPy) and SQL inreal-world projects Experience working with
relational and NoSQL databases and modern data architectures Practical experience collaborating in cross-functional AI/data science teams Hands-on experience with
agentic workflows and AI orchestration frameworks
(e.g., MCP, LangChain, multi-agent systems) is a plusYour Role