Why hire data
engineers with The
Scalers?
Top talent
Full alignment

The Scalers vs. outsourcing
The Scalers
Data engineers work only for you
Outsourcing
Resources are often shared across clients
The Scalers
Full integration with your tools, processes, and culture
Outsourcing
The agency manages the relationship; you’re kept at arm’s length
The Scalers
11% attrition rate (vs a market average of 30-35%)
Outsourcing
High churn; agencies rotate people between projects
The Scalers
A single all-inclusive monthly fee
Outsourcing
Often quoted per project or hour
Data engineers work only for you
Resources are often shared across clients
Full integration with your tools, processes, and culture
The agency manages the relationship; you’re kept at arm’s length
11% attrition rate (vs a market average of 30-35%)
High churn; agencies rotate people between projects
A single all-inclusive monthly fee
Often quoted per project or hour
Hundreds of happy clients
Building the best tech and data teams since 2014
-
<11%
attrition
rate -
37%
average
savings -
4.9/5
rated on
Clutch




What do offshore data engineers do?
Create automated workflows that move data from source systems into warehouses and lakes. Set up real-time streaming or batch processing depending on your needs.
Design schemas, optimise queries, and maintain data quality. Handle everything from transactional databases to analytical data stores.
Build and manage data infrastructure on AWS, GCP, or Azure. Set up secure, scalable environments that grow with your business.
Work with massive datasets using distributed computing frameworks. Process terabytes of data efficiently without breaking your infrastructure budget.
Structure your data for speed and accuracy. Create dimensional models, star schemas, or whatever architecture fits your analytics requirements.
Orchestrate complex data operations using tools such as Airflow or Dagster. Schedule jobs, handle failures, and keep your pipelines running smoothly.
Tech stack and tools that data engineers use
Benefits of hiring offshore data engineers
Cost efficiency
Cut costs by 30-40% without sacrificing quality. For the price of 3 data engineers in the UK (~£160k), you can hire 7 in Bangalore with the same capabilities.
Expertise
Hire data engineers with the tech stack you need: PostgreSQL, MongoDB, AWS Redshift, BigQuery, Snowflake, Databricks, Apache Spark, Kafka, Airflow, and more.
Scalability
Scale your team as your business grows. Add data engineers when priorities shift, when you’re building a new product, or when you need to move faster.
Faster delivery
Time zone differences can be an operational advantage. When your US or European team logs off, your Bangalore team picks up, implements, tests, and pushes updates.

Why hire
data engineers
in Bangalore?
2 million developers, 35% of India’s tech workforce
Bangalore has the largest concentration of tech talent in India. Over 2 million software developers live and work here, with 90,000 new engineering graduates joining every year.
550+ Global Capability Centres (GCCs)
Over 40% of India’s 1,750+ GCCs are in Bangalore, employing 800,000+ professionals. Tech giants like Amazon, Google, and Microsoft run major operations here.
10,000+ data engineer roles in demand
The data engineering talent pool runs deep. You can find specialists with experience in your tech stack and industry.
#1 startup ecosystem in India
2,363 startups, 32 active unicorns, ranked #10 globally. Engineers here have built large-scale data systems for Flipkart, Ola, and Swiggy, managing billions of daily transactions.
Time zone advantage
Indian time is GMT+5:30 with no daylight saving time variations. This provides at least six hours of daily overlap with most global locations.
25-40% cost savings
Hiring data engineers in Bangalore costs significantly less than the same role in the US or Western Europe.
Data engineering teams we’ve built
How Preqin scaled to a 450+ person R&D Centre
A large part of the 450+ person Bangalore team we built for Preqin focused on data roles, including data operations, data quality and control, and data engineering.

Colmore streamlines data processes with 85-person Bangalore R&D hub
See how we helped Colmore build an 85-person R&D team across data engineering, analytics, and fund accounting, cutting turnover by 50% and doubling data output

Dedicated team helps Mediolanum automate at scale
Partnering with The Scalers helped Mediolanum build a dedicated analyst and data engineering team to automate processes and deliver insights across €118 billion in assets

How to hire data engineers with The Scalers
How to hire data engineers with The Scalers
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We find the best tech and data talent
Whatever role or technology you’re looking for, we hire only the best with our rigorous 7-step recruitment process.
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We set up your private, branded office
Your new team will have a dedicated workspace, and we’ll handle everything for you on the ground: HR, payroll, compliance, and security, so you can focus on your work.
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We keep your engineers happy and committed
We make sure your engineers feel valued, supported, and genuinely connected to your company, which results in higher engagement, stronger performance, and long-term retention.
Solutions you can choose from

Extend your existing development team
Extend your current tech or data team with engineers that possess the in-demand or niche expertise you can’t find at home.

Build a dedicated development team
Build a high-quality team with dedicated data engineers who align with your business goals and are fully integrated into your workflow.

Set up an Offshore Development Centre
Set up an ODC in Bangalore with data engineers, data scientists, and business analysts to accelerate your product development.
Frequently asked questions
Yes. Companies are generating more data than ever and need engineers to build the infrastructure that makes it usable. Demand continues to grow as cloud migrations, AI projects, and real-time analytics all require robust data pipelines.
Data engineers build and maintain the infrastructure that makes data usable, including pipelines, databases, warehouses, and ETL processes. Data scientists create predictive models and run experiments. Data analysts interpret data and create reports for business decisions.
When they’re migrating to a cloud data warehouse, building real-time pipelines, consolidating data from multiple sources, preparing infrastructure for AI/ML, scaling analytics, replacing legacy ETL systems, or improving data quality and governance.
It depends on seniority and tech stack, but hiring offshore typically saves 30-40% compared to local hires. The key is to compare fully loaded costs, not just salaries. For example, a senior data engineer in the US earning $130,000 costs $180,000- $195,000 after benefits, payroll taxes, office space, equipment, and HR. Our prices include all of that.
At The Scalers, it generally takes us 45-60 days to hire a data engineer for your team. In some cases, we’ve filled positions in as little as 20 days.
Some of the most common mistakes when hiring offshore data engineers include focusing solely on cost-cutting rather than finding engineers who are the right fit for your company, and overlooking whether the engineer has experience in your specific industry.
