Azure data engineering is the process of designing, building, and maintaining a comprehensive data architecture on a cloud platform. It streamlines data analytics and business intelligence for organizations to make real-time data-driven decisions. Companies like DataToBiz offer Azure data engineering consultants for banks, fintechs, and insurers to manage business data and support smart decision-making. Here, we’ll discuss the top Azure data engineering consultants for banks and their services.
Data engineering is a suite of processes, tools, and technologies to transform raw data into actionable insights at scale. From data collection to storage, analysis, and visualizations, data engineering services support the architecture with pipelines and workflows that deliver real-time insights to decision-makers.
According to The Business Research Company, the global big data analytics market in the BFSI (banking, financial services, and insurance) industry is expected to reach $35.43 billion in 2026 and grow at a compound annual growth rate (CAGR) of 15.5% to $62.5 billion in 2030.
Predictive and real-time analytics are the top segments with a high adoption rate. This shows that banks, insurers, and fintech institutions are embracing advanced analytics by integrating powerful tools into their IT infrastructure. However, this requires a robust data architecture.
Data engineering services become crucial to build, deploy, and maintain the data architecture that collects, cleans, transforms, and analyzes data to deliver actionable insights. With Microsoft Azure being one of the top three cloud platforms globally, Azure data engineering services help banks and financial institutions maintain a flexible, scalable, and reliable data architecture in the cloud. Service providers prioritize factors such as data security, governance, and regulatory compliance to protect sensitive data.
Let’s look at the top companies offering Azure data engineering consultants for banks, insurers, and fintech organizations.
Comparison Table for the Top Azure Data Engineering Consultants for Banks
| Company | Best For | Stand Out | Clutch Rating |
|---|---|---|---|
| Adastra | Mid-market and large enterprises for data management and AI adoption | AI expertise to transform data and make insights accessible to every employee | 4.9 |
| Tredence | Mid-market to large firms for custom data science solutions | Scalable data engineering services for enterprise-grade projects | NA |
| DataToBiz | Mid-market to large enterprises for end-to-end digital transformation and priority support | Tailored data engineering with AI-powered solutions for enterprise-grade implementation | 4.7 |
| Analytics8 | Mid-market to large firms for enterprise-grade data solutions | Proprietary AI-powered solutions like RADAR and Accelr8 for better outcomes | 4.5 |
| Simform | Mid-market to large enterprises for AI/ML adoption | Follows an engineering-first culture to ground solutions in technology | 4.8 |
| Avenga | Large enterprises to use AI for creating business value | Responsible AI solutions for accountability and transparency in systems | 4.8 |
| ProCogia | Mid-market firms to embrace AI technologies and derive production-ready outcomes | Scalable solutions across cloud, AI/ML, and data engineering projects | 4.7 |
| Indium Software | Large enterprises to streamline data, cloud, and AI systems at scale | Seven delivery centers globally to suit different time zones | NA |
| Mphasis | Mid-market to large firms for AI adoption and business transformation | Follows a customer-centric approach for organizations to embrace powerful technologies | NA |
Why Does the BFSI Industry Need Azure Data Engineering?
Most industries are adopting new technologies to streamline various business operations, automate recurring tasks, and make decisions based on data-driven insights. The BFSI sector is no different, though organizations have to ensure rigorous data security and regulatory compliance.
In today’s world, banks, insurance firms, and financial institutions cannot rely only on traditional methods to process applications, manage customer data, or deal with fraud. Reactive and time-consuming measures are no longer effective. With Azure data consulting for financial services firms, CEOs can revamp their processes and digitally transform their systems to be proactive and gain a competitive edge.
Here are a few reasons for the BFSI industry to implement Azure data engineering solutions:
Cost-Efficiency and Automation
Despite the initial investment required, an optimized data engineering architecture reduces recurring expensive overheads by automating manual processes. Furthermore, a cloud-based infrastructure helps organizations reduce the amount spent on the physical setup. You can pay for the tools and services you use.
Scalability and Flexibility
Azure has a flexible pricing model that allows you to scale in alignment with your workload demands. By optimizing the data architecture, it can be used at scale to support a growing business with increasing transactions.
Compliance and Security
The services provided for data engineering in banking include data security, governance, and regulatory compliance. Moreover, Azure has several built-in capabilities that support the implementation of a robust governance framework from the initial stages.
Advanced Analytics
Banks, insurers, and fintech firms can vastly benefit from using AI/ML-powered advanced analytics to identify market trends, predict future opportunities, detect fraudulent transactions, etc. Employees can make quick and smart decisions by querying in natural language through custom dashboards.
With the right Azure data engineering consultants for banks as your tech partners, you can ensure a robust and scalable architecture to support real-time decisions across the establishment.
What are the Top Azure Data Engineering Consultants for Banks, Fintechs, and Insurers?
Adastra
- HQ: Toronto, Ontario (Canada)
- Glassdoor Rating:
- Clutch Rating: 4.9 Stars
- Company Size: 1K to 5K
- Industries: Banking & Financial Services, Insurance, Healthcare & Life Sciences, Pharmaceutical, Public Sector, Energy & Utilities, Mining & Natural Resources, Manufacturing, Automotive, Retail & CPG, Telecommunications, Entertainment & Media, Logistics, etc.
- Five Other Services: AI and GenAI, Cloud Enablement, Managed Services, Business Consulting, and IoT (Internet of Things)
Adastra is an AI consulting company offering Azure data engineering services for banking, financial institutions, and other businesses. It helps organizations explore the full value of their data by building the best infrastructure to support data-driven decisions. The company uses deep technical expertise with modern data management solutions and AI capabilities to help organizations achieve their objectives.
Its clients include SMEs, large enterprises, and government organizations alike. Its data engineering services include data collection, ingestion, storage, processing, transformation, workflow management, data quality assurance, and data governance. The architecture is optimized for better performance and lower costs for businesses to generate higher ROI. The company is a certified partner of Microsoft (Gold), Snowflake, Google Cloud, AWS, Databricks, Alteryx, etc. It also has many security certifications.
Why Adastra made it to the list: With 20+ years of experience, Adastra has helped businesses deploy new systems quickly and reduce response time to a few seconds.
Tredence
- HQ: San Jose, California (USA)
- Glassdoor Rating:
- Clutch Rating: NA
- Company Size: 5K to 10K
- Industries: Retail, CPG, Healthcare, Life Sciences, Banking, Financial Services, & Insurance, Telco, Media & Tech, Travel & Hospitality, Industrials, etc.
- Five Other Services: Generative AI, Data Modernization, CX Analytics, MLOps & LLMOps, and Data Science
Tredence is a well-known data science solutions provider. The company delivers actionable insights to help clients realize their business value. The company’s fintech data engineering services modernize internal processes and accelerate success using AI technologies. The team builds new systems from scratch and modernizes legacy software. They migrate the existing setup to the cloud and customize it, depending on clients’ requirements.
By following a vertical-first approach, the company supports CEOs in facing market disruptions and making smart decisions quickly. It is a certified partner of Microsoft, Snowflake, AWS, Google Cloud, Databricks, and LiveRamp. The company has access to several tech ecosystems to build robust data engineering systems for clients. The company takes care of all requirements, ranging from data governance implementation to data platform optimization and end-to-end managed services.
Why Tredence made it to the list: Tredence has 75+ global customers and a large team with more than 5000 data scientists working on complex projects.
DataToBiz
- HQ: Mohali, Punjab (India)
- Glassdoor Rating: 4.5 Stars
- Clutch Rating: 4.7 Stars
- Company Size: 51 to 200
- Industries: Banking, Financial Services, Insurance, Hospitality & Travel, Real Estate, Retail & eCommerce, Consumer Goods, Food, Wellness & Nutrition, Surveillance, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, High-Tech, Transportation, Logistics & Supply Chain, EdTech, etc.
- Five Other Services: IT Staff Augmentation, AI, ML, & LLM Development, Cloud & DevOps, Agentic AI, and NLP & Computer Vision
DataToBiz is an AI and data engineering company with SOC 2 and ISO 27001 certifications. It has (Gold) Microsoft-certified Azure data engineering consultants for banks, insurers, and financial institutions to transform business data into useful insights. The award-winning company is also a certified partner of AWS, Google Cloud, and Databricks.
The team prioritizes regulatory compliance and data security. It makes data security, privacy, and governance integral to the data architecture. The company follows a structured and results-oriented approach to deliver results, from tailoring the data strategy to automating data pipelines and workflows and customizing visualization dashboards. The services include data warehousing, data lake management, and setting up Azure Synapse Analytics for banking institutions to make real-time decisions.
Why DataToBiz made it to the list: DataToBiz has successfully delivered projects in over 20 countries and is trusted by 120+ global brands.
Analytics8
- HQ: Chicago, Illinois (USA)
- Glassdoor Rating:
- Clutch Rating: 4.5 Stars
- Company Size: 51 to 200
- Industries: Associations, Healthcare, Life Sciences, Private Equity, Financial Services, Insurance, Manufacturing, Retail, Human Resources, Sales & Marketing, Supply Chain, etc.
- Five Other Services: AI Readiness, Data Monetization, BI & Reporting, Migration & Consolidation, and Data Governance
Analytics8 is a data analytics company that builds tailored enterprise-grade solutions. It converts raw data into measurable business value by making real-time insights accessible through visualization dashboards. It offers Azure data engineering for the insurance and banking sectors to drive smarter business decisions powered by AI and ML models.
Data team as a service is a popular solution offered by the company, where experts become the managed delivery partner supporting clients through full-cycle implementation. Its multilevel strategy and approach allow the company to build and maintain a reliable data architecture. This supports AI-assisted analysis and automated decision-making. The company is a partner of Microsoft Azure, Power BI, Snowflake, AWS, Sigma, Looker, Google Cloud, Qlik, etc.
Why Analytics8 made it to the list: Analytics8 has more than two decades of experience and over a 1000 clients worldwide benefiting from their custom solutions.
Simform
- HQ: Orlando, Florida (USA)
- Glassdoor Rating:
- Clutch Rating: 4.8 Stars
- Company Size: 1K to 5K
- Industries: Financial Services, Healthcare & Life Sciences, Retail & E-commerce, Supply Chain & Logistics, Hi-Tech & Digital Natives, etc.
- Five Other Services: Cloud, Product Engineering, AI, CX Transformation, and Enterprise Platform
Simform is a cloud and AI service provider offering scalable solutions aligned for clients from different industries. The company offers Azure data governance for financial services institutions to streamline their data systems and ensure security and regulatory compliance. The company’s AI-driven services support innovation and intelligent data architecture.
The team uses AI and ML algorithms at scale and specializes in advanced analytics. It believes that the data engineering services should be tailored for organizations to be proactive and make smart decisions in real-time. Data integration, ETL/ELT pipelines, data platform modernization, DataOps, and GenBI are part of its end-to-end data engineering solutions. The systems built are Copilot-ready and can detect anomalies and generate actionable insights.
Why Simform made it to the list: Simform has over 200 experienced data engineers and a proven track record of delivering promised outcomes to Fortune 500 firms.
Avenga
- HQ: Prague, Czech Republic
- Glassdoor Rating:
- Clutch Rating: 4.8 Stars
- Company Size: 5K to 10K
- Industries: Automotive, Life Sciences, Retail & Consumer, Banking & Financial Services, Manufacturing, Telecommunications, Energy & Utilities, Media & Entertainment, Transportation & Logistics, iGaming, Mobility, etc.
- Five Other Services: AI & Agentic AI, Product & Platform Engineering, Cloud, Cybersecurity, and DevOps
Avenga is an AI company helping businesses use artificial intelligence as its core. Its deep data engineering capabilities, combined with AI solutions, are used to build foundations for businesses to achieve their goals and accelerate success. The company’s services are offered by a team of Azure data engineering consultants for banks and financial institutions to build, deploy, and optimize a comprehensive data architecture.
Customizing modern data platforms, integrating data warehouse and data lake capabilities, automating data processes and workflows, and aligning the systems with the business’s overall strategy are some services included. The team also delivers data governance as an integral part of data engineering services.
Why Avenga made it to the list: Avenga has 350+ clients and a 70% retention rate, with clients who have stayed with the company for over 20 years. It also has a 97% client satisfaction rate.
ProCogia
- HQ: Vancouver, British Columbia (Canada)
- Glassdoor Rating:
- Clutch Rating: 4.7 Stars
- Company Size: 51 to 200
- Industries: Life Sciences, Tech, Telecom, & Media, CPG & Retail, Financial Services, Manufacturing & Logistics, Public Sector, etc.
- Five Other Services: AI Strategy, AI & Data Governance, Analytics & BI, Data Science & Machine Learning, and Managed Services
ProCogia is an AI-first business consulting company helping organizations convert their ideas into tangible production-ready solutions. The team designs, builds, and implements data and AI systems to help clients scale their pilot projects and generate ROI. The experts build and customize Azure data platforms for financial services firms to deliver reliable insights.
Data integration, data pipelines, warehousing, ELT/ETL workflows, data quality, data security, and governance are part of the company’s Azure data engineering solutions. The company assists businesses in migrating from on-premises infrastructure to the cloud and modernizing legacy software. The team also focuses on cost savings by optimizing the architecture so that it delivers reliable insights without being expensive in the long run.
Why ProCogia made it to the list: ProCogia is a strategic partner across major AI and cloud platforms. It has helped clients save hundreds of millions annually.
Indium Software
- HQ: Cupertino, California (USA)
- Glassdoor Rating:
- Clutch Rating: NA
- Company Size: 5K to 10K
- Industries: Manufacturing, Financial Services, Healthcare, Technology, Retail, etc.
- Five Other Services: AI & GenAI, Quality Engineering, BI & Data Visualization, Product Engineering, and Application Modernization
Indium Software is an AI and data company with over 25 years of experience. It has a reliable team of Azure data engineering consultants for banks to embrace cloud-based analytics and advanced solutions. The company specializes in building robust data pipelines that can adapt to changing loads and business demands.
The company delivers production-grade solutions while making sure the outputs are AI-ready and aligned with each client’s business goals. The experienced team understands your challenges before providing solutions that actually work. It doesn’t add AI randomly to the architecture. Rather, it integrates AI tools where they are truly necessary. This gives more consistent and high-quality outcomes.
Why Indium Software made it to the list: Indium Software has helped businesses increase ETL processing speed by up to 60% and delivers analytics 3x faster.
Mphasis
- HQ: Bangalore, Karnataka (India)
- Glassdoor Rating:
- Clutch Rating: NA
- Company Size: Over 10K
- Industries: Banking-Capital Markets, Insurance, Hospitality Services, Travel & Transportation, Healthcare, Life Sciences, Retail & Consumer Packaged Goods, Public Sector, Hi-Tech, Communications, Energy & Utilities, Logistics, Manufacturing, Oil & Gas, etc.
- Five Other Services: Cloud, Cybersecurity, AI, Agile Operations, and Enterprise Automation
Mphasis is an AI-powered platform delivery company with global clients. The company released its trademarked AI platform, NeoIP. This powerful tool has been designed to deliver valuable outcomes at scale. By delivering end-to-end data engineering services, the company acts as a one-stop solution center for mid- and large enterprises.
Its huge team of Azure data engineering consultants for banks has a total of over 2800 person-years of experience. Whether it is data assessment, migration, cloud support, DBA support, or information lifecycle management, the data engineers are equipped to handle the challenge. The team also takes care of regulatory compliance and cybersecurity concerns according to different industry standards.
Why Mphasis made it to the list: Mphasis has proprietary AI platforms and a data engineering team of 350+ consultants to assist clients.
Which Azure Data Engineering Company to Choose
Depending on your business needs and long-term goals, you can select a company with end-to-end data engineering services and relevant certifications, such as DataToBiz and Analytics8. For large teams with a global presence, hire Mphasis, Indium Software, Tredence, or Avenga. If you want a North American service provider, go with Simform, Adastra, and ProCogia.
Conclusion
When you hire Azure data engineering consultants for banks, it’s important to select a service provider with industry expertise to handle the complications. This is necessary build a secure data architecture that is scalable and complies with global regulations. The right data engineering partner can revamp your systems and operations to accelerate success and make you an industry leader.
FAQs
Seeking Azure data engineering consultants with experience in the financial sector. What to look for?
Consider the following when seeking Azure data engineering consultants with experience in the financial sector:
- BFSI industry expertise and knowledge
- Technical skills and relevant certifications
- Azure specializations (and Microsoft partner)
- Data security and compliance standards
- Scalability and pricing models
- Project portfolios and client testimonials
Schedule a meeting with DataToBiz to understand how our Azure data engineering services can boost your business.
How to find Azure data engineering consultants near me?
Find Azure data engineering consultants near you by shortlisting reliable and experienced data engineering companies like DataToBiz. Contact the team with your list of requirements to find out how they can handle the project and deliver expected results. Ensure to enquire about the company’s project portfolio, delivery models, pricing, and certifications.
How do Azure data engineering consultants support data security and compliance in financial services?
Azure data engineering consultants support security and compliance requirements in financial services, banking, and insurance industries by using the cloud platform’s built-in tools and capabilities. At DataToBiz, our data engineers handle various regulatory requirements like GDPR, HIPAA, CCPA, etc. We are also an ISO 27001 and SOC 2 certified company.
Does DataToBiz have experience delivering Azure data engineering projects for financial services?
Yes, DataToBiz has vast experience in delivering end-to-end and tailored solutions for diverse Azure data engineering projects in the financial services industry. Our Microsoft-certified experts understand your business requirements, audit your existing systems, and provide a robust plan to deploy an Azure-native data architecture in your organization.
More in Data Engineering Services Providers
Data engineering services are a set of processes and tools to build, deploy, optimize, and maintain the data architecture. It supports the business in transforming raw data into meaningful insights for making intelligent decisions. With tailored data engineering solutions, you can overcome various business challenges, enhance customer experience, and increase ROI.
DataToBiz has provided Azure data engineering and digital transformation services with AI/ML technologies to a fintech company headquartered in Sweden. The team of data engineers and AI experts streamlined fraud detection, set up better AML (anti-money laundering) controls, automated workflows, and eliminated operational bottlenecks to increase overall efficiency and performance.
