Data Engineer

Activate Interactive Pte Ltd ("Activate") is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.We are searching for our next team members to join our growing team.If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people's lives, then we would love to hear from you.Co-Development Business Unit is looking for Data EngineerWe are seeking a highly skilled and motivated Data Scientist to join our cybersecurity team, focusing on detecting and preventing unauthorized privileged access. In this role, you will leverage advanced data science techniques and machine learning models to identify security threats, mitigate risks, and protect critical assets. You will collaborate closely with business stakeholders, cybersecurity experts, and engineers to deliver actionable insights and production-ready solutions.What will you do? To support the development and maintenance of enterprise data products within our organisation's data platform, we are looking for experienced data engineers to join our team who will be responsible for: Data Engineering and Platform Integration Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Athena, S3, RDS) Work with data virtualisation tools like Denodo and develop VQL queries Ingest and process data from various internal and external data sources Perform data extraction, cleaning, transformation, and loading operations Implement automated data collection processes including API integrations when necessary Data Architecture Design and implement data models (conceptual, logical, and physical) using tools like ER Studio Develop and maintain data warehouses, data lakes, and operational data stores Develop and maintain data blueprints Create data marts and analytical views to support business intelligence needs using Denodo, RDS Implement master data management practices and data governance standards Technical Architecture and Integration Ensure seamless integration between various data systems and applications Implement data security and compliance requirements Design scalable solutions for data integration and consolidation Development and Analytics Develop Python scripts in AWS Glue for data processing and automation Write efficient VQL/SQL queries and stored procedures Design and develop RESTful APIs using modern frameworks and best practices for data services Work with AWS Sagemaker for machine learning model deployment and integration Manage and optimise database performance, including indexing, query tuning, and maintenance Work in an Agile environment and participate in sprint planning, daily stand-ups, and retrospectives Implement and maintain CI/CD pipelines for automated testing and deployment Participate in peer code reviews and pair programming sessions Documentation and Best Practices Create and maintain technical documentation for data models and systems Follow industry-standard coding practices, version control, and change management procedures Stakeholder Collaboration Partner with cross-functional teams on data engineering initiatives Gather requirements, conduct technical discussions, implement solutions, and perform testing Collaborate with Product Managers, Business Analysts, Data Analysts, Solution Architects, UX Designers to build scalable, data-driven products Provide technical guidance and support for data-related queries What are we looking for? At least 3 years of experience in data engineering or similar role Strong proficiency in Python, VQL, SQL Experience with AWS services (Glue, Athena, S3, RDS, Sagemaker) Knowledge of data virtualisation concepts and tools (preferably Denodo) Experience with BI tools (preferably Tableau, Power BI) Understanding of data modelling and database design principles Familiarity with data governance and master data management concepts Experience with version control systems (Gitlab) and CI/CD pipelines Experience working in Agile environments with iterative development practices Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in a team environment Knowledge of AI technologies (AWS Bedrock, Azure AI, LLMs) would be advantageous What do we offer in return? Fun working environment Employee Wellness Program Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.Please consult our Privacy Notice () to know more about how we collect, use, and