Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Data Engineer – SQL |Banking

10,000 SGDSingapore, SGScore 65/1004d ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
PySparklarge datasetsETL ToolsData PipelineData Services BusinessData IntegrationSQL ProgrammingStored ProceduresSQL QueryTroubleshooting Performance IssuesAnalytical and Problem-Solving SkillsPython
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
We are looking for a hands-on Data Engineer to join the technology team of a leading financial institution. This is a SQL-heavy engineering role for someone who enjoys coding, working with large datasets and building reliable data pipelines. Key Responsibilities Develop and optimise complex SQL queries, stored procedures and data transformations Build and maintain ETL/ELT data pipelines Work with large-scale datasets, data warehouses and relational databases Perform data integration, validation and quality checks Troubleshoot production/data issues and optimise performance Work closely with technology and business teams to deliver data solutions What we're looking for: 5–10 years of experience in Data Engineering / ETL / Database Development Strong hands-on SQL coding skills — this is essential Experience with Python / PySpark is an advantage Strong understanding of data modelling and data warehousing Experience with ETL tools, Git and CI/CD Banking / Financial Services experience is mandatory Strong analytical and problem-solving skills
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs