Data Engineer

ENFACTUM PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading data solutions company in Singapore is seeking a skilled data engineer to prepare datasets and develop data pipelines. The role involves troubleshooting data issues and collaborating with stakeholders to design the Enterprise Data Strategy. Ideal candidates will have hands-on Big Data experience with technologies such as Hadoop, Spark, and Python, and a good command of English is essential while knowledge of German is beneficial. Competitive salary and growth opportunities will be offered.

Qualifications

• Hands-on Big Data experience using common open-source components.
• Experience in stakeholder management in heterogeneous organizations.
• Background in banking or financial business, handling sensitive data.

Responsibilities

• Prepare datasets and data pipelines and troubleshoot data issues.
• Collaborate with stakeholders to co-design the Enterprise Data Strategy.
• Develop and maintain data pipelines for Data Scientists.

Skills

Expert SQL skills

Knowledge of reference architectures

Working automation experience in Python

Data preparation for reporting/analytics

Good knowledge of German

Tools

Hadoop

Spark

Tableau

Python

Jupyter Notebooks

Job description

Role description

• Datasets and data pipelines preparation, support for Business, data troubleshooting.
• Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
• Implementation and promotion of Data Platform, transformative data processes, and services
• Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
• Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)
• Resolving and troubleshooting data related issues and queries
• Covering all processes from enterprise reporting to data science (incl. ML Ops)

Experience

• Hands‑on Big Data experience using common open‑source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, KBS, Kafka)
• Experience in stakeholder management in heterogeneous business/technology organizations
• Experience in banking or financial business, with handling sensitive data across regions
• Experience in large data migration projects with on‑prem Data Lakes
• Hands‑on experience in integrating Data Science Workbench platforms (e.g., Knime, Cloudera, Dataiku))
• Track record in Agile project management and methods (e.g., Scrum, SAFe).

Skills

• Knowledge of reference architectures, especially concerning integrated, data‑driven landscapes and solutions
• Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
• Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs
• Data preparation for reporting/analytics and visualization tools (e.g. Tableau, Power BI or Python based)
• Applying a data quality framework within the architecture
• Good knowledge of German is beneficial, excellent command of English is essential