Data engineering services

Push boundaries. Win big. Gain control over massive volumes of business data. Harness the power of insights to fuel innovation and growth. Develop efficient processing and storage solutions for your data. That’s what you stand to gain by investing in end-to-end data engineering services.

Strength in numbers

15 +
Years in the market
750 +
Expert software engineers
1500 +
Projects launched
200 +
Clients trusting us

What is data engineering?

Transforming tremendous amounts of business data into useful insights. Setting the stage for detailed business analytics and in-depth business insights. Data engineering is all about developing, testing, and maintaining data pipelines. Our data engineers work on modeling actual databases, determining what exactly they will look like.

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We’re here to find fast, elegant solutions to your trickiest problems.

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Moving past limits. Going somewhere new.

Proactive. Expert. Passionate. We’ve worked on a multitude of projects across Europe, the UAE, and the USA. Many of our clients have been working side by side with us as their technical partners. That means we’ve built up a huge amount of expertise across various industries.

We are your technical partner, co-creating your digital products and helping you transform business data into invaluable insights.

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End-to-end data engineering

As your technical partner, we build custom-tailored solutions, designed to meet your specific business requirements. We create flexible and scalable data warehouses, build strong data pipelines, and implement cutting-edge data analytics solutions.

Data pipelines

Data extraction. Data transformation. Data loading. We help you create ETL data pipelines that extract huge amounts of data from multiple sources, transform it into usable formats, and store it in databases, data warehouses, or another storage systems.

ML engineering

Develop, train, and deploy strong ML models that keep pace with your business, making sure they are scalable and ready to keep pace with your business. As your technical partner, we help you speed up your time to business value for your AI projects. Your ideas – our expertise.

Data transformation

Agility. Cost-effectiveness. Our data engineering experts analyze your current solutions and propose an optimal cloud setup for your business. Whether you plan to implement a cloud data warehouse platform from the ground up or modernize your existing solution, we help you migrate your business data without compromising the reliability of your processes.

DataOps

Manage your data with the help of end-to-end data analytics. Mitigate data risks. Optimize operations and reduce downtime. We have extensive experience in CI/CD pipelines, data operations monitoring, and data governance.

Harness the power of data. Future-proof your business.

Collaborative. Client-centric. Results-driven. We have worked with clients across various industries and, along the way, gained strong domain experience. FinTech. InsurTech. EdTech. HealthTech. Retail. And, along the way, we’ve gathered a heap of domain expertise in various sectors.

As your data engineering partner, we focus on addressing your unique challenges and opportunities, delivering custom solutions for you.

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Which business model suits you?

Different budgets, deadlines, challenges, and requirements. There is no one-size-fits-all approach to software development. To match your exact goals and ambitions, we offer two types of business models:

  • Time & material: Greater control. Flexibility. Participation in candidate selection. With no rigid processes or end dates, this business model is easier to scale up or down as your business needs change.
  • Fixed price: Fixed scope. Fixed budget. Fixed timeline. Those are the main benefits of the fixed price model. You set the requirements upfront, and we deliver the project within them.

Many clients choose to start with the fixed-price model. However, as their project scope evolves, they typically shift to the time & material model.

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Our tech stack: designed to work with yours

  • ETL
    ETL
  • Python
    Python
  • Pyspark Icon
    PySpark
  • Kafka Icon
    Kafka
  • Hadoop
    Hadoop
  • Apache Airflow Icon
    Apache Airflow
  • Nlp Icon
    NLP
  • Machine Learning Icon (1)
    Machine Learning
  • Data Mining Icon
    Data Mining
  • Pandas Icon
    Pandas
  • Keras Icon Only
    Keras
  • Powerbi Icon
    Power BI
  • Azure
    Azure Synapse Analytics
  • Sql Icononly
    SQL
  • Excel Icononly
    Excel
  • Nosql Icon
    NoSQL
  • Data Analytics Icon
    Data Analysis
Sasa Popovic Contact Form (1)

Sasa co-founded Vega IT 15 years ago with his former university roommate Vladan. Their dream of founding an IT company has grown into the premier software company with more than 750 engineers in Serbia. If you prefer to send an email, feel free to reach out at hello.sasa@vegaitglobal.com.

Real people. Real pros.

Book a call today.

Send us your contact details and a brief outline of what you might need, and we’ll be in touch within 12 hours.

Data Engineering - FAQ

Data engineering is a data science area, focused on building end-to-end systems that enable the collection and usage of massive amounts of business data.

By investing in data engineering, you will make better decisions based on the insights you gain from your multi-source business data. This helps you improve the quality of your services, minimize costs, and reduce project duration. That way, you will better meet your customers’ needs and make wiser business decisions.

We have vast experience in the field of data engineering, including:

  • Data integration
  • Data transformation
  • Data warehousing
  • Data modeling
  • ETL pipelines
  • Data quality management
  • Data governance
  • Big data management
  • Data security
  • Cloud data engineering

Identifying the client’s needs
Creating a highly scalable efficient data solution
Utilizing ETL processes
Assessing data quality
Building an end-to-end solution for your company