Senior Data Engineer
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Before you apply
SenioritySenior
Experience3+ yrs
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
At least a bachelor’s or master’s degree in computer science / IT / IS or its equivalent
Experience with distributed computing, data warehousing concepts, data modelling/architecture and building SQL scripts to support data transformation and data delivery
Experience with big data tools such as Hadoop, Spark, etc
Experience with cloud solutions preferably AWS
Minimum 3 years working experience, preferably in Insurance or FI domain
Proficiency in writing python, pyspark, SQL and UNIX
Excellent problem solving and troubleshooting skill
Results oriented. Able to identify the root issues, identify what need to be done and work as team to get the issues resolved
High level of integrity, takes accountability of work and good attitude over teamwork
Takes initiative to improve current state of things and adaptable to embrace new changes
Familiarity with data science technique is a plus
Skills
Python
PySpark
SQL
UNIX
Hadoop
Spark
AWS
Responsibilities
Work closely with Data Science and BU team to build simple to complex data model that provide deep insights into data analytics. Support the implementation of high-quality analytics solutions.
• Identify data source required for analytics
• Responsible to perform thorough data testing and validation in supporting data ingestions while ensuring data quality
• Analyse and organize raw data from different source systems to build dataset and data model adhering to the data architecture
• Assembling simple to large sets of data that meet all functional business requirements
• Work closely with the data science and business units to develop data models and pipelines for research, visual analytics and machine learning
• Work closely with IT team to automate manual process in handling data scripts
• Understand the data, maintain documentation and assist in data related queries
• Ensure compliance with data governance and company security policies
• Provide guidance and coaching to Data Engineer
• Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks
• Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company
• Highlights any potential concerns /risks and proactively shares best risk management practices
Requirements
• At least a bachelor’s or master’s degree in computer science / IT / IS or its equivalent
• Experience with distributed computing, data warehousing concepts, data modelling/architecture and building SQL scripts to support data transformation and data delivery
• Experience with big data tools such as Hadoop, Spark, etc
• Experience with cloud solutions preferably AWS
• Minimum 3 years working experience, preferably in Insurance or FI domain
• Proficiency in writing python, pyspark, SQL and UNIX
• Excellent problem solving and troubleshooting skill
• Results oriented. Able to identify the root issues, identify what need to be done and work as team to get the issues resolved
Nice to have
• Familiarity with data science technique is a plus
• High level of integrity, takes accountability of work and good attitude over teamwork
• Takes initiative to improve current state of things and adaptable to embrace new changes