- Good Benefits
- Stable Organisation and Market Leader
- Career Growth
about the company
Randstad has partnered with a reputable organisation steadily growing in Malaysia and operates within the Food & Beverage industry. Your future employers understand the importance of data in this day and age, and are looking to manage data structures, pipelines and methodologies in a more effective and efficient manner.
key responsibilities:
- Team Leadership & Mentorship: Lead, coach, and scale a team of data professionals. Set clear goals, conduct performance reviews, and foster a collaborative environment that encourages continuous learning.
- Data Strategy & Architecture: Architect, deploy, and manage end-to-end data pipelines and analytics solutions, primarily utilizing Microsoft Fabric to unify our data estate.
- Technical Execution: Write, review, and optimize complex SQL and Python code for data extraction, transformation, modeling, and analysis.
- Stakeholder Management: Partner with cross-functional leaders (Marketing, Finance, Product, Operations) to understand business needs, define KPIs, and deliver dashboards and reporting solutions that drive decision-making.
- Data Governance & Quality: Establish and enforce best practices around data governance, data quality, security, and compliance.
- Project Management: Oversee the lifecycle of multiple concurrent data projects, ensuring on-time delivery from requirements gathering to production deployment.
requirements:
- Experience: 6+ years of progressive experience in data analytics, data engineering, or business intelligence, with a proven track record of delivering measurable business impact.
- Leadership: Minimum of 2+ years of direct people management experience, with demonstrated success in hiring, developing, and retaining technical talent.
- Extensive, hands-on experience implementing and managing Microsoft Fabric workloads (e.g., OneLake, Data Factory, Synapse Data Engineering).
- Expert-level proficiency in SQL for complex querying, database management, and performance tuning.
- Strong programming skills in Python for data manipulation, automation, and advanced analytics (e.g., Pandas, NumPy).
- Business Acumen: Strong ability to translate complex technical concepts to non-technical stakeholders and align data strategy with overarching business goals.
nice to haves:
- Experience with Snowflake or Azure Synapse Analytics.
- Familiarity with other modern cloud data warehouses and ecosystems (e.g., AWS Redshift, Google BigQuery, Databricks).
- Advanced knowledge of data visualization tools (e.g., Power BI, Tableau, Looker).
- Understanding of machine learning concepts and how to operationalize predictive models.
experience
6 years
skills
Microsoft Fabric, Azure, Snowflake, PowerBI, SQL, Python
qualifications
no additional qualifications required
education
Associate Degree/Diploma