| Published: | Feb 08, 2026 | Vacancy: | Not Specified | Gender: | No Preference |
| Age: | Not Specified | Career Level: | Mid Level | Experience: | 3 Year |
| Salary: | N/A | Location: | Anywhere in Bangladesh |
Education
Experience
Additional Requirements
Minimum of 3 years of professional experience.
Candidates should have prior experience working in a software development or software services company.
Minimum age requirement of 18 years.
At least 3 years of hands-on experience in a Data Engineer role.
Strong proficiency in SQL, with the ability to write and optimize complex queries.
Proven experience in designing, developing, and maintaining ETL/ELT data pipelines.
Solid understanding of data modeling concepts and best practices.
Experience with at least one data orchestration tool, preferably Azure Data Factory; experience with SSIS, Apache Airflow, AWS Glue, Talend, or similar tools is also acceptable.
Hands-on experience with at least one relational database system, such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle, or DB2.
Ability to optimize and tune OLAP and OLTP queries for performance and scalability.
Experience working with cloud platforms, with a preference for Microsoft Azure.
Familiarity with version control systems, particularly Git.
Experience using Python and PySpark for data processing and transformation.
Hands-on experience in Agile/Scrum-based development environments.
Upper-intermediate or higher proficiency in English, both written and verbal.
Exposure to modern cloud data platforms and analytics tools such as Microsoft Fabric, Databricks, Snowflake, Power BI, or Tableau.
Experience designing scalable, high-performance data architectures.
Knowledge of data governance, data quality, and security best practices.
Experience working with NoSQL databases, including Azure Cosmos DB, MongoDB, or Cassandra.
Experience developing or supporting AI/ML data pipelines or advanced analytics use cases.
Experience with unit testing and integration testing practices.
Prior experience working in the real estate sector or other data-intensive industries.
We are looking for an experienced Data Engineer to support the scaling of a growing business intelligence (BI) platform within the real estate sector. This role focuses on designing and developing reliable, high-performance data pipelines built on strong data modeling and engineering best practices.
You will be part of a highly skilled engineering team working with a modern, forward-thinking technology stack. The position also offers opportunities to explore emerging technologies, including AI and machine learning, to continuously improve the platforms and services delivered to customers.
Design, develop, and maintain efficient ETL/ELT data pipelines.
Optimize data workflows to ensure performance, reliability, and long-term maintainability.
Collaborate closely with BI analysts and business stakeholders to support reporting and analytics needs.
Write, optimize, and maintain complex SQL and PySpark queries.
Implement data quality validation, monitoring, and alerting to ensure data accuracy and integrity.
Adhere to and promote data engineering best practices, standards, and governance.
Other Benefits
Two weekly holidays.
Competitive compensation package based on qualifications and skill level.
Structured career development framework with clearly defined skill progression paths.
Flexible working hours to support individual schedules.
Remote work opportunities available.
Medical expense reimbursement.
Access to online English language courses.
Gym membership reimbursement.
Participation in internal conferences, workshops, and knowledge-sharing meetups.
Work from Office
Type: Full Time/Permanent
Anywhere in Bangladesh
Address: Flat-2B, House-143, Road-4, Block-A, Banani, Dhaka-1213
Business Type : Information Technology (IT)
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