Python, SQL and Databricks

Recruit CRM; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Recruit CRM in Singapore is seeking a data engineer and analytics specialist to build and optimize data pipelines, perform analyses, and translate findings into actionable insights for business stakeholders.

The role requires 2–5 years of hands-on experience, proficiency in Python or R, SQL, and data visualization tools; strong communication and collaboration across teams are essential.

Qualifications

• Hands-on experience in data engineering and analytics.
• Strong skills in Python, R, and related analytics tools.
• Experience with data analysis and visualization tools such as Power BI, Looker, Databricks.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and data accuracy.
• Proactive in identifying issues and delivering solutions.
• Strong analytical and problem-solving abilities to translate data into insights.
• Ability to present complex information clearly and persuasively.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.

Skills

Data engineering

Analytics

Python

R

SQL

Power BI

Looker

Databricks

Data visualization

Communication

Job description

• 2-5 years of hands‑on experience in data engineering and analytics
• Strong skills in statistical tools and programming languages such as Python, R, etc.
• Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and a commitment to data accuracy.
• Proactive approach to identifying issues and providing solutions.
• Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
• Ability to present complex information in an understandable and compelling manner.
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team

• 2-5 years of hands‑on experience in data engineering and analytics
• Strong skills in statistical tools and programming languages such as Python, R, etc.
• Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and a commitment to data accuracy.
• Proactive approach to identifying issues and providing solutions.
• Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
• Ability to present complex information in an understandable and compelling manner.
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team