Join the Access Family and see how we make software ideas become a reality! Our core value of ‘Love work, Love life’ has been central to our success and so we’re looking for people to join us who share our passion for making things better every day, to help us achieve 2 million users of the Access Workspace platform. Are you ready for the challenge? What are we all about? At Access we love software and how technology never stays the same. It's this obsession that drives us to work closely across sectors to understand the business needs of our customers - from professional services to manufacturing to not for profits and more. We're passionate about helping our customers stay one step ahead of the challenges facing their industry and business. That's why over 1 million users and over 35,000 organisations rely on Access software to help their organisation thrive. About You: We are seeking a highly skilled Data Engineer to lead our newly-formed AI and Data Squad in Kuala Lumpur. You will play a key role in building data and AI capabilities to support our customers’ data, analytics, and reporting requirements. As a critical member of the team, you will design, develop, and optimize scalable data pipelines, data models, and AI-driven solutions. This is a hands-on role, ideal for a candidate passionate about delivering high-quality, customer-focused products that solve complex business challenges across the APAC region. Key Responsibilities: 1. Data Infrastructure Development: • Design, build, and maintain robust data pipelines to ingest, transform, and process large datasets. • Implement scalable and efficient data architectures to support analytics and AI-driven solutions. • Ensure the reliability, scalability, and performance of data systems to meet customer requirements. 2. Data Modeling & Integrations: • Create and optimize data models (e.g., dimensional, normalized) for analytics, reporting, and AI applications. • Collaborate with customers and internal teams to map and integrate data from multiple systems. • Develop and maintain ETL processes to ensure seamless data integration and transformation 3. AI & Advanced Analytics Enablement: • Build and support the infrastructure needed for real-time and batch AI solutions. • Ensure that data pipelines and platforms are designed to handle AI and analytics use cases efficiently. 4. Customer-Centric Solutions: • Collaborate with product team and internal stakeholders to understand their data, analytics, and reporting needs. • Build data capabilities and tools that enable customers to derive actionable insights from their data. • Ensure high standards of data quality, governance, and security in customer-facing solutions. 5. Collaboration Across Teams: • Partner with product managers, data analysts, and other engineers to deliver end-to-end data solutions. • Support the integration of AI and analytics features into customer products. • Document and share best practices for data engineering across the team. 6. Continuous Improvement: • Stay updated on industry trends and emerging technologies in AI, big data, and analytics. This will include being closely connected to our Evo/Data team as they advance our AI and data capabilities • Identify and implement opportunities to improve data pipelines, processes, and system performance. • Contribute to the team’s culture of innovation and learning. Required Skills and Qualifications: • 5+ years of experience in data engineering, building and supporting data systems for analytics and reporting. • Strong proficiency in SQL and experience with relational databases. • Expertise in data pipeline design and ETL/ELT workflows, using tools like Apache Airflow, dbt, or similar. • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services (e.g., Redshift, BigQuery, Databricks). • Proficiency in programming languages such as Python or Scala for data processing. • Knowledge of data modeling techniques and best practices for analytics. • Familiarity with tools for data orchestration, data integration, and workflow automation. • Strong understanding of data governance, quality, and security best practices. • Excellent problem-solving and communication skills, with a focus on customer satisfaction. Preferred Skills: • Experience with real-time data processing frameworks (e.g., Kafka, Kinesis, Spark Streaming). • Familiarity with AI/ML workflows and their integration into data pipelines. • Exposure to working in agile teams and delivering customer-focused solutions. • Knowledge of reporting and visualization tools like Power BI, Tableau, or Looker. Education: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. What does Access offer you? We offer a blended approach to office working, encouraging you to collaborate and connect in one of our thriving office. We deliver on what we say, taking the development of our people seriously. We'll work with you to progress your success plan and provide opportunities to accelerate your career. Become part of our amazing Access family! At Access we're all about helping everyone Love Work and Love Life because we believe people can only be at their best when they can be themselves, love what they do and do what they love. We love the fact that we’re all different. Having more diverse perspectives at work improves how we run our business, helps us support our customers, and when you think about it, it's just more fun. So, no matter what makes you individual, as long as you’re qualified, we can’t wait for your application.