| Published: | Feb 08, 2026 | Vacancy: | Not Specified | Gender: | No Preference |
| Age: | At least 18 years | 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 organization.
Minimum age requirement of 18 years.
At least 5 years of hands-on experience as a Data Engineer.
Strong proficiency in SQL and/or PySpark for complex data processing and transformation.
Hands-on experience with Microsoft Fabric and/or Azure Databricks.
Experience using BI and data visualization tools such as Power BI, SSRS, Tableau, or Qlik.
Proven ability to design, build, and maintain complex ETL/ELT data pipelines at scale.
Advanced expertise in data modeling concepts and best practices.
Strong 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 relational database systems such as Microsoft SQL Server, PostgreSQL, or Oracle.
Demonstrated ability to optimize and tune OLAP and OLTP queries for performance and scalability.
Experience working with cloud platforms, with a strong preference for Microsoft Azure.
Proficiency with version control systems, particularly Git.
Hands-on experience working within Agile/Scrum development environments.
Upper-intermediate or higher proficiency in English, both written and verbal.
At least 3 years of experience leading engineering teams and scaling team capabilities.
Advanced experience designing scalable, high-performance data architectures.
Strong understanding of data governance, data quality, and security best practices.
Experience working with NoSQL databases such as Azure Cosmos DB, MongoDB, or Cassandra.
Exposure to AI/ML data pipelines or advanced analytics use cases.
Experience with unit testing and integration testing methodologies.
Prior experience in the real estate sector or other data-intensive industries.
We are looking for a Senior Data Engineer / Team Lead to lead the design and development of a growing business intelligence (BI) platform within the real estate sector. This role involves taking technical ownership of complex BI systems and architecting scalable, high-performance data pipelines grounded in strong data modeling principles.
You will work closely with a talented, cross-functional engineering team, providing technical leadership, mentoring team members, and contributing to key architectural and technology decisions. Leveraging a modern, cloud-based technology stack, you will support the expansion of business intelligence capabilities while exploring and adopting emerging technologies—including AI and machine learning—to continuously enhance the platforms and services delivered to customers.
Design, build, and continuously evolve complex, scalable ETL/ELT data pipelines.
Ensure reliable, efficient, and secure data flows across BI and analytics platforms.
Lead by example through hands-on development and ownership of critical data components.
Collaborate closely with product managers, data analysts, and engineering teams to define and deliver high-impact data solutions.
Drive continuous improvements in system performance, scalability, and maintainability, including advanced SQL query optimization.
Conduct and oversee code reviews to ensure high standards of code quality, performance, and best-practice adherence.
Define, implement, and actively promote data engineering standards, architectural guidelines, and best practices.
Mentor and support team members, fostering technical growth, collaboration, and knowledge sharing.
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 Home
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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