Senior Data Engineer

Flintex Consulting Pte Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A consulting company in data solutions is seeking a Data Engineer in Singapore. This role involves integrating data from various sources, ensuring data quality, and collaborating with teams to optimize data pipelines. Candidates should possess a bachelor's or master's degree in computer science or related fields with expertise in databases and data processing frameworks. Proficiency in tools like Apache Kafka and AWS is essential. Competitive salary and a dynamic work environment are offered.

Qualifications

• 5+ years experience in data engineering.
• Strong knowledge of databases, data structures, algorithms.
• Proficiency in Python, SQL, and scripting languages.

Responsibilities

• Integrate data from multiple sources to provide a unified view.
• Implement data quality checks and validation processes.
• Collaborate with cross-functional teams on data needs.

Skills

Data integration

Database management

Data quality assurance

Data processing frameworks

Proficient in Python

Strong knowledge of SQL

Experience with big data technologies

Education

Bachelor's or master's degree in computer science, IT or related field

Tools

Apache Kafka

Apache Spark

AWS

Power BI

Job description

Posted On 26/01/2026

Job Information

Work Experience 4-5 years

Technology

SGD 5500 - SGD 5800

City Singapore

State/Province Central Singapore

079903

Job Description

Responsibilities

• Integrate data from multiple sources, such as databases, APIs, or streaming platforms, to provide a unified view of the data
• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data
• Identify and resolve data quality issues, monitor data pipelines for errors, and implement data governance and data quality frameworks
• Enforce data security and compliance with relevant regulations and industry‑specific standards
• Implement data access controls, encryption mechanisms, and monitor data privacy and security risks
• Optimise data processing and query performance by tuning database configurations, implementing indexing strategies, and leveraging distributed computing frameworks
• Optimize data structures for efficient querying and develop data dictionaries and metadata repositories
• Identify and resolve performance bottlenecks in data pipelines and systems
• Collaborate with cross‑functional teams, including data scientists, analysts, and business stakeholders
• Document data pipelines, data schemas, and system configurations, making it easier for others to understand and work with the data infrastructure
• Monitor data pipelines, databases, and data infrastructure for errors, performance issues, and system failures
• Set up monitoring tools, alerts, and logging mechanisms to proactively identify and resolve issues to ensure the availability and reliability of data
• It would be a plus if he has software engineering background

Requirements

• Bachelor's or master's degree in computer science, information technology, data engineering, or a related field
• Strong knowledge of databases, data structures, algorithms
• Proficiency in working with data engineering tools and technologies including knowledge of data integration tools (e.g., Apache Kafka, Azure IoTHub, Azure EventHub), ETL/ELT frameworks (e.g., Apache Spark, Azure Synapse), big data platforms (e.g., Apache Hadoop), and cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure)
• Expertise in working with relational databases (e.g., MySQL, PostgreSQL, Azure SQL, Azure Data Explorer) and data warehousing concepts.
• Familiarity with data modeling, schema design, indexing, and optimization techniques is valuable for building efficient and scalable data systems
• Proficiency in languages such as Python, SQL, KQL, Java, and Scala
• Experience with scripting languages like Bash or PowerShell for automation and system administration tasks
• Strong knowledge of data processing frameworks like Apache Spark, Apache Flink, or Apache Beam for efficiently handling large-scale data processing and transformation tasks
• Understanding of data serialization formats (e.g., JSON, Avro, Parquet) and data serialization libraries (e.g., Apache Avro, Apache Parquet) is valuable
• Having experience in CI/CD and GitHub that demonstrates ability to work in a collaborative and iterative development environment
• Having experience in visualization tools (e.g. Power BI, Plotly, Grafana, Redash) is beneficial

Preferred Skills & Characteristics

Consistently display dynamic independent work habits, goal oriented, passionate in growth mindsets, possess a ‘can do’ attitude, and self‑motivated professional. Self‑driven and proactive in keeping up with new technologies and programming