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Majlis Bandaraya Subang Jaya, Selangor, Malaysia
Onsite
Ready to help build a better future for generations to come?
In an ever-changing, fast-paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.
This role places a strong emphasis on expertise in Snowflake and DBT Cloud.
We have recently started a journey towards using more AI, digitalization, automation and better use of data – and this is where your abilities come into play. You will join our Data Science & Engineering team and work at the forefront of AI and machine learning. This role reports directly to the Team Lead of the Data Science & Engineering team based in Malaysia. You will work closely with teams from Denmark and Poland and be an integral part of a larger global Data Science & Engineering team. Furthermore, you will be responsible for leading the data engineering aspects of the team, working closely with peers of varying skill sets. So far, we have hired one Data Engineer and two AI Engineers that you will have the opportunity to collaborate with and learn from.
We are seeking a talented and experienced Senior Data Engineer with Azure, DBT and Snowflake experience to join our Data Science & Engineering team in Malaysia. In this role, you will work closely with data scientists, ML engineers, and cross-functional stakeholders to run and maintain scalable data platforms that power AI/ML products and analytics solutions at ROCKWOOL. You will be part of a growing team that focuses on data ingestion, transformation, and warehousing, ensuring high availability, reliability, and performance of our data pipelines. The role requires a blend of technical and communication skills. More concretely, you will have the following responsibilities:
Programming in Python and SQL to maintain and improve the codebase for existing systems with relevant programming languages, frameworks, and platforms.
Maintain robust, scalable data pipelines (batch and streaming) to ingest, process, and store structured and unstructured data, including the opportunity to work with real-time data.
Monitor, support and optimize ETL/ELT workflows.
Build and maintain data models, data marts, and data warehouses to support analytics and reporting needs.
Implement data validation, monitoring, and alerting to guarantee data accuracy and integrity across pipelines.
Collaborate with data stewards and data scientists to define data schemas, metadata, and lineage.
Enforce best practices for data security, access control, and compliance with industry regulations.
Profile, tune, and optimize SQL queries, data transformations, and storage layers to meet SLA requirements.
Evaluate and recommend new technologies or architectural patterns to improve throughput and reduce costs.
Automate infrastructure provisioning (IaC) and CI/CD processes for data workloads.
Guide and coach junior and mid-level engineers in Data Engineering, programming, and data platform development & maintenance.
Innovate and proactively harden the data platforms against potential issues.
5 to 7 years of hands-on experience in data engineering, building, and maintaining large-scale data platforms.
Proficient in SQL and one or more programming languages (Python, Scala, Java, Snowpark).
Master's degree in Computer Science, Software Engineering, Information Systems, or a related field.
Familiarity with DBT, Snowflake, IaaC concepts (Terraform, CloudFormation, Jenkins/GitHub Actions) and Jinja
Hands-on experience with ETL / ELT workflow tools such as Snowpipe.
Strong data modelling skills (star schema, snowflake schema, data vault, etc.)
Hands-on experience with Azure Functions, Azure Data Lake, and Iceberg.
Knowledge of SAP FI, SD, MM, SAP BW.
Knowledge of social media, marketing, and sales platforms.
Hands-on experience with NoSQL databases.
Experience designing and optimizing data warehouses, data lakes, and/or data lakehouse architectures.
Experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD pipelines for data workloads.
Knowledge of data quality frameworks, data cataloging, and metadata management tools.
Excellent problem-solving skills, detail-oriented, and able to troubleshoot complex data issues under tight SLAs.
Strong communication skills: able to liaise between technical teams, non-technical stakeholders, and senior management.
Proactive mindset with a continuous improvement attitude; able to break down ambiguous requirements into actionable tasks.
Familiarity with LLM tools (e.g., ChatGPT, GitHub Copilot) to enhance productivity.
Extensive experience in relational databases and version control systems such as Git (GitHub and GitOps).
Hands-on experience with Supermetrics, Informatica, Kafka, Databricks, Spark, Airflow, Docker, and Kubernetes.
Hands-on experience with managed data services (e.g., AWS Redshift, Azure Synapse)
Hands-on experience with cloud platforms (preferably Azure while AWS or GCP is OK too)
Familiarity with observability tools (Prometheus, Grafana, ELK stack) to monitor and troubleshoot data pipelines.
Ability to work in Scrum in Kanban using Jira.
Ability to propose solutions and implement them independently.
International work experience.
We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe and sustainable products that help people and communities thrive. We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities, all focused on one common purpose – to harness the natural power of stone to enrich modern living.
Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG’s) framework and is actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges to accelerate solutions to protect it.
We want all our people to feel valued, respected, included, and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees.
ROCKWOOL is keen to nurture employees, help them develop their talents, and move forward in their careers. You can expect to be supported in your professional ambitions through our development programs.