Hire Data Engineers for SAP S/4HANA and Dynamics 365: Skills and Engagement Models

Yashica Chopra
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SAP S/4Hana and Dynamics 365 are ERP and CRM solutions designed for businesses from diverse industries and varied requirements. Here, we’ll discuss the importance of data engineering and ways to hire data engineers with SAP and Dynamics expertise.

Data is everywhere. Globally, we generate 2.5 million terabytes per day. While most organizations have adopted big data, not many are yet able to use data analytics effectively and make data-driven decisions. Even AI adoption is throwing up challenges due to the gap between the required and existing data systems. This gap can be filled with data engineering.

Statistics show that the global data engineering market is estimated at $105.40 billion in 2026, with over 90% of artificial intelligence and machine learning projects directly dependent on data engineering pipelines. With over 1/3^rd of the organizations struggling with data quality challenges, it has become even more crucial to build and maintain a robust data architecture for proper end-to-end data engineering and business intelligence.

CTOs and COOs have major decisions to make about how to embrace advanced technologies for streamlining the workflows in the IT infrastructure to support real-time smart decision-making across the enterprise. This can be achieved by hiring data engineers t hrough staff augmentation or partnering with SAP S/4HANA data engineering services providers to handle the requirements remotely.

But how does data engineering actually help an organization? How can you hire data engineers with SAP and Dynamics expertise, and how do they deliver the results? Let’s find out in this blog.

What are the Key Elements of Data Engineering in Modern Businesses?

Data engineering is a series of processes to design, build, deploy, and maintain a comprehensive architecture for end-to-end data management and analytics. Though this can be hosted on-premises, many modern businesses prefer to build the data architecture on cloud platforms for greater scalability, flexibility, and efficiency. Data engineering eliminates outdated silos and fragmented systems by replacing them with streamlined workflows across the organization. It supports cross-platform business data architecture, which enables real-time decision-making based on actionable insights.

CEOs can hire data engineers to create a strategic plan for building a new data architecture and integrating various systems in the enterprise. From facilitating ERP data modernization to AI-powered advanced analytics, data engineers handle varied roles and responsibilities based on the project specifications. The primary goal of data engineers is to ensure that clean and high-quality data is used for analytics and business intelligence. Also, this data has to be easily accessible but stored in a secure location to prevent cyberattacks. To achieve all this, senior executives hire data engineers to build the key elements of modern data engineering systems:

Automated Data Pipelines

Data pipelines are critical for data engineering, as this is where the major processes happen. Data is collected from multiple sources, extracted from files, transformed into structured data, and loaded into the storage system through these pipelines. Typically, ETL/ELT pipelines make raw data ready for analytics through enterprise ERP data integration methods. Data from ERP, CRM, HRMS, and other sources is collected together. However, due to the complexity of the processes and the large amounts of data processed by organizations, the pipelines are automated using powerful AI and ML algorithms. Instead of manually performing these actions, the AI models handle them on their own and provide high-quality data as necessary.

Central Data Storage

The collected and transformed data has to be stored somewhere secure and accessible. Instead of relying on departmental silos, the large datasets are stored in a central repository. This can be on-premises and on the cloud, though many organizations now prefer cloud storage for scalability and flexible pricing models. Depending on the data type, you can choose between a data warehouse and a data lake. A data lakehouse is also an important part of the data architecture and ensures that the analytical tools can run queries and derive insights in real-time to share with decision-makers via BI dashboards. CIOs have to work with data engineers to create an enterprise data migration strategy if they want to use cloud storage systems.

Data Management Tools and Technologies

Data engineering requires a plethora of tools and technologies that have to be integrated with existing software to build a robust and reliable architecture. Enterprise system integration is a complicated and multi-step process where you should first select the right tools and platforms based on your business objectives, budget, and long-term plans. SQL for querying, cloud platforms like AWS and Azure for hosting, Power BI for analytics, big data technologies like Apache Hadoop for datasets, etc., are some examples. A data engineer has to have expertise in handling such diverse tools daily.

What Role Do SAP S/4Hana and Microsoft Dynamics Have in Enterprises?

ERP (enterprise resource planning) and CRM (customer relationship management) software are vital to every business. These are used for daily operations and have useful data about the organization, customers, stakeholders, markets, etc. When you hire data engineers, choose professionals with expertise in using modern ERP and CRM software so that they can integrate the software with the central data architecture to convert raw data into meaningful and relevant insights.

What is SAP S/4HANA?

SAP S/4HANA is a powerful and new ERP software with many advanced features. It has a simplified data model, a GUI (graphical user interface), and role-based SAP Fiori. With a built-in memory database and a more user-friendly interface, S/4HANA has become a popular software for mid to large enterprises. COOs find it convenient and effective to rely on S/4HANA to track, streamline, and manage various daily operations. While the software is great on its own, with SAP S/4HANA data engineering services, you can further enhance business data and adopt the data-driven decision-making model to gain a competitive edge. Additionally, the software can be hosted on-premises, on cloud platforms, and as a hybrid model. It supports AI capabilities and third-party integrations, as well as data analytics. Being a comprehensive software, SAP S/4HANA offers functionalities for the following:

Finance
Manufacturing
Sales and Marketing
Supply Chain
Services
Human Resources
Asset Management
Sourcing and Procurement
R&D/ Engineering

When COOs hire SAP data engineers, they can be assured that these engineers can redesign their IT infrastructure and replace outdated legacy systems with advanced, powerful software, a network of integrations, and a smart, data-driven model to support real-time analytics.

What is Microsoft Dynamics?

Microsoft Dynamics 365 is a cloud-based suite of ERP and CRM software for startups, SMBs, and growing businesses. Built on Azure and Dataverse, it offers only a cloud version, but with a wide range of features, capabilities, and functionality. It supports real-time analytics by default and offers other benefits, such as automated security patches, infrastructure updates, automated scalability during peak hours, regulatory compliance, disaster recovery, and third-party integrations.

A reputable and certified Dynamics 365 consulting company offers end-to-end services and tailored solutions to adopt the software in your organization by aligning it with your values and objectives. The unified data layer standardizes processes of how data is structured, stored, and used for analytical insights. Furthermore, Dynamics 365 supports multiple departments effortlessly and brings together data from several sources, such as the following:

Supply Chain and Inventory
Human Resources
Financial Operations
Project Management
Manufacturing and Operations
Sales and Marketing
Customer Service

Data engineers can integrate Dynamics, SAP, and CRM analytics workflows to build a central data architecture capable of handling large volumes of data in real-time and sharing contextually relevant insights through user dashboards.

How to Hire Data Engineers With SAP S/4Hana and Dynamics 365 Expertise?

CEOs can hire data engineers with SAP and Dynamics expertise in different ways, depending on their budget and timeline limitations. Rather than focus on the general job market, it is more effective to narrow down the search base to data engineering recruitment agencies and other niche platforms that have a pool of candidates with SAP and Microsoft certifications. Similarly, staff augmentation and dedicated data engineering teams are also preferred, as it takes less time and fewer resources to hire experienced talent via staff augmentation companies.

What is SAP and Dynamics 365 Staff Augmentation?

Staff augmentation refers to the process of hiring external talent temporarily to handle specific roles and responsibilities in your organization. Rather than spending millions and months on full-time recruitment, you hire professionals on a contract basis. This could be for weeks, months, or years. The pay can be hourly, project-based, a monthly salary for the duration, or a fixed rate.

With staff augmentation, COOs can onboard new talent in 72 hours or a week and ensure the project is completed as per the schedule. It is a simpler way to fill the skill gap, especially for specialized and technical roles like SAP and Dynamics data engineering, data scientists, analysts, etc. Typically, the augmented experts work remotely and collaborate with your internal teams to fulfill their responsibilities and share their knowledge. They have authorized access to your systems and data to deliver the results. You can choose to retain the same service provider for long-term managed services and maintenance since it is convenient and cost-effective to build an internal team from scratch.

SAP and Dynamics 365 staff augmentation allows executives and managers to hire the best candidates from a global talent pool for competitive prices. The staff augmentation company handles additional paperwork for payroll management, benefits, and other aspects. However, the control remains with the executives. You can replace team members for better alignment with your work culture and project requirements. Staff augmentation is one of the best ways to hire data engineers quickly and efficiently.

Conclusion

When hiring data engineers with SAP S/4HANA and Dynamics 365 expertise, you should first evaluate your existing systems and select the right software/technologies aligned with your needs. Then, compare the hiring models to pick the best choice for your current and future requirements.

The easiest way to bridge the talent gap is through IT staff augmentation services that offer cost-efficiency, control, and accelerated time to market. A company with a flexible and transparent pricing model and multiple staff augmentation models is considered the best data engineering partner.

More in Data Engineering Services Providers…

Data engineering services are the backbone of data-driven workflows that design, build, deploy, and integrate systems for end-to-end data management. This involves data collection, cleaning, transforming, storage, and analytics to derive actionable insights. With AI-powered data engineering, CEOs can promote data-driven decision-making throughout the organization. DataToBiz helped a multinational finance and insurance company based in Europe to modernize legacy systems, fill talent gaps for specialized skills, and adhere to regulatory and compliance demands by building a custom data engineering team to work on the project. DataToBiz helped a UK-based manufacturing company to connect all its disconnected systems in different centers, increase overall data visibility in real-time, and build a data architecture that can handle the pressure of growing data volumes. The data engineering team used Microsoft, SAP, and AI technologies to achieve this.

Fact checked by –
Akansha Rani ~ Content Management Executive

Yashica Chopra

Yashica has been writing and editing for over 8 years. She is a lifelong learner who craves to weave simple and uncomplicated stories. When not working, you can find her binging on Netflix or baking.