Is on LinkedIn?
Job not on LinkedIn
🕒 July 3
Job not on LinkedIn
Data Architect leading conversations and decisions on data modeling at a global consulting firm specializing in Data & Analytics. Transforming complex processes into clear, reusable information models.
🗣️🇪🇸 Spanish Required
BigQuery
Cloud
Job not on LinkedIn
🕒 July 3
Job not on LinkedIn
Senior Data Engineer at Supabase managing data pipelines from source to analysis. Collaborating with growth, finance, and product teams to drive business insights.
Airflow
BigQuery
Cloud
Google Cloud Platform
Python
SQL
Terraform
Job not on LinkedIn
🕒 June 27
Job not on LinkedIn
51 - 200
Data Engineer optimizing data estate and monitoring ETL processes for digital marketing sector. Collaborating on architecture migration and data analytics projects to enhance performance.
ETL
🕒 June 4
Lead Data Engineer responsible for data architecture, driving data quality, and mentoring the engineering team. Join a high-growth crypto gaming platform with a focus on scalable data solutions.
Postgres
🕒 May 21
Data Engineer developing scalable data pipelines for Bitcoin mining software, supporting compute infrastructure, and influencing company-wide strategy.
Airflow
Cloud
ETL
Postgres
Python
🕒 March 22
11 - 50
Lead Geospatial Data Engineer managing spatial data pipelines and leading technical teams. Focused on massive datasets and optimizing backend logic with high-performance architecture.
BigQuery
Pandas
PostGIS
Postgres
Python
SQL
🕒 March 24
Senior Data Engineer at Reap designing scalable data pipelines for stablecoin finance. Collaborating with cross-functional teams to drive impactful data solutions in a global fintech company.
AWS
Cloud
ETL
Python
SQL
Job not on LinkedIn
🕒 March 20
Job not on LinkedIn
Data Engineer at Appsilon responsible for building scalable data pipelines and ensuring data quality for global organizations. Collaborate with cross-functional teams to leverage massive datasets.
AWS
Azure
Cloud
Distributed Systems
Django
Docker
ETL
Flask
Google Cloud Platform
Kubernetes
Python
SQL
Job not on LinkedIn
🕒 March 20
Job not on LinkedIn
Senior Data Engineer enhancing key initiatives using AI for a London prop-tech startup. Collaborating within a data team to improve data solutions and automate workflows.
🇧🇩 Bangladesh – Remote
💵 ৳200k - ৳250k / month
💰 $220k Pre Seed Round on 2022-11
⏰ Full Time
🟠 Senior
🚰 Data Engineer
Azure
BigQuery
PySpark
Python
SQL
🕒 February 27
10,000+ employees
Data Migration Analyst supporting large-scale HR systems transformation. Delivering end-to-end data migration activities using SAP ECC and BODS tools in a remote capacity.
ETL
SQL
🕒 February 9
Senior Data Engineer at Trafilea, building and maintaining data pipelines for data-driven strategies. Focused on data architecture and ensuring cost-effective data processes.
Airflow
Amazon Redshift
Apache
AWS
Cloud
Docker
EC2
ETL
Kubernetes
Python
SQL
Terraform
🕒 January 13
Head of Data Engineering at Holafly, defining the architectural backbone for a global data ecosystem and ensuring data-driven decision-making for millions of travellers.
Cloud
ETL
Google Cloud Platform
Java
NoSQL
Python
Scala
Job not on LinkedIn
🕒 August 22, 2025
Job not on LinkedIn
Build Python notebooks to ingest APIs into Microsoft Fabric; implement Bronze/Silver/Gold Medallion layers and sync data to Azure Synapse for reporting.
Azure
Cloud
Node.js
PySpark
Python
The average salary for remote data engineers in Bangladesh is BDT 10,788,462 per year. This is based on data from 39 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior Data Engineer (1-2 yrs) | 3 | BDT 0 |
🟡 Mid-level Data Engineer (2-4 yrs) | 13 | BDT 0 |
🟠 Senior Data Engineer (5-9 yrs) | 22 | BDT 19,125,000 |
🔴 Lead Data Engineer (10+ yrs) | 1 | BDT 0 |
We analyzed 23 job listings in the last year and found it takes about 47 days for employers to close a job opening.
We reviewed 39 job postings and found the top 10 skills employers are asking for most often are:
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
