Seeking a talented Data Engineer to build and deploy data pipelines and scalable machine learning models. This role collaborates with data scientists and software engineers to translate research prototypes into robust, production-ready solutions.

Mandatory Skill(s)

• Must have a Degree in Information Technology, Computer Science or related studies;
• Must have at least 5 years of experience as Data Engineer;  
• Must have work experience in designing, building, and maintaining scalable and interactive dashboards using BI tools such as Power BI, Tableau, or Looker;
• Must have hands-on experience in Python and SQL;
• Must have work experience in applying ETL/ELT tools and methodologies to prepare, transform, and load data into designated target systems.

Desirable Skill(s)

• Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA);
• Experience with other programming languages (e.g., Java, Scala, C++) is a plus;  
• Experience in best practices such as DataOps and MLOps;
• Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services;
• Strong understanding of software development best practices, including version control (Git), testing, and CI/CD;
• Cloud and data certifications are advantageous. 

Responsibilities

• Design and maintain cloud-based data platforms for large-scale ingestion, storage, and processing;
• Manage enterprise data warehousing and centralized data solutions;
• Evaluate and integrate new data technologies to enhance platform capabilities;
• Support infrastructure for enterprise data platforms and machine learning workloads;
• Build and maintain reliable data pipelines for ingestion, transformation, and processing;
• Implement data quality validation and monitoring to ensure accurate and timely data;
• Apply ETL/ELT methodologies to transform and load data into target systems;
• Develop scalable dashboards and reporting solutions using BI tools (Power BI, Tableau, Looker);
• Implement data governance practices, including cataloging, lineage, and access controls;
• Collaborate with stakeholders and team members while proactively resolving technical issues. 

If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Dianne Antonio at dianne.a@sciente.com quoting the job title.