Hire Big Data engineers for predictive analytics
Do you want to optimize your business and operational use cases? Then it’s time to hire Big Data engineers! They will design big data systems for optimizing processes.

Big Data services our developers are skilled at
- Data modeling
- Data science pipelines
- Data warehousing
- Cloud computing
- Big Data frameworks or hadoop-based technologies
- SQL-based technologies
- Machine learning algorithms
- Apache Spark
4 steps to hire Big Data engineers
- 01Describe your need
We need to know what your business and its projects are. Also, we need detailed information about the project for which you want to hire Big Data engineers. How many such experts do you need? How experienced should they be?
- 02Review candidates
Our recruiters check all the available candidates to hire Big Data experts who will most accurately suit your tasks. After this screening process, we send you the best CVs and organize interviews.
- 03Finalize your choice
Hiring a Big Data software engineer may not be a fast process, but finding the best one is worth it. Once you’ve chosen the right professional, we assist in their integration into your project and team.
- 04Begin development
You easily integrate the new member into your team with our management and support. In such a way, you save time, money, and nerves compared to if you hire Big Data engineers on your own.



Deep expertise across industries
Success stories
Why is Relevant a good place for hiring Big Data experts?
We have offices in Poland and Ukraine, but we hire remote Big Data engineers worldwide. These are always going to be highly proficient services.
In Relevant, we have a complex vetting mechanism for candidates. We contribute end-to-end so that you can find the best Big Data engineers for hire.
We invest a lot in long-term relationships with our employees. For you, it means that you hire Big Data engineers who become dedicated to your project.
Besides our successful hiring cases, our clients highlight our ability to build great personal relationships, communication, and high service standards.
We have access to the best senior and middle talents worldwide. So your business will grow even faster with top Big Data engineers for hire.
We constantly improve our risk management practices during the recruiting process. Our holistic approach makes us a reliable partner in word and deed.
Our core tech stack
Backend
Node.JS Nest.JS Salesforce Java Python .NET PHP TypeScript
Mobile
Swift Kotlin React Native
Frontend
Vue.JS React Next.JS TypeScript Angular
Cloud
GCP Azure AWS Vercel
What clients are saying about Relevant
average
Insights from our experts
Questions you may have
That is what we are good at! Though hiring the right expert can take months on end, we turned it into a quick and efficient process. Contact us for further steps.
The sky is the only limit! It is great when your business continually grows and needs more developers to operate with big data. We will be super happy to help you hire Big Data engineers.
Sure! Whenever your business needs a part-time or a full-time Big Data engineer, we will find the proper candidate for you.
We work with all types of businesses. We can help boost your development capacity with the best talent.
Our Big Data engineers are fluent in programming languages such as SQL, Python, C, C++, Java, etc.
We sign an NDA before initiating the project. You can be sure that all your data is securely stored.
We use the Time & Material price model so that you pay only for time and resources spent on the project. We charge on an hourly basis through biweekly invoices.
The best and most efficient way to check engineers’ expertise is by giving them technical tasks. That is how you see how the applicant deals with actual tasks on your project.
Big Data engineers are responsible for designing, building, testing, and maintaining complex data processing systems that work with large data sets. They create a production-ready big data environment that includes architecture, technology standards, and open source options. Engineers are also responsible for data management processes.
Here is a quick overview of our recruitment stages:
- CV review: we single out the candidates with relevant skills and invite them to an interview with a recruiter
- English test: good language knowledge is essential for working with us, so we provide English assessment
- Interview & checking hard skills: an in-person interview with our project manager or senior Big Data engineer, who reviews hard skills of the candidate
- Reference check: if the candidate passes all the previous stages, we ask him to provide the names and contact details of at least two-three people as their professional references
- Final interview: we conduct the final interview with our CEO. If both sides are happy with the terms, we send a job offer to the candidate
No need to wait! Let’s do it right now! Send us your request, and we will contact you.
We work with all types of experts in terms of value, solutions, and solving real problems of your business.
We use Jira software for tracking. It allows us to track both the project progress and developer’s tasks. Also, it perfectly works with our Agile project management.
Our offices are in Poland and Ukraine, but our services have no borders. There are 150+ employees worldwide who have created 200+ successful projects. Relevant experience in software development is 11+ years.
We created and launched more than 200 products in 15 countries globally.
It is a cost-efficient alternative in a nutshell. The thing is, numbers may vary, but the average in-house rate is $70/hour while the average outsourced dedicated development team rate is $35/hour. But it is far not only about the money. Also, through outsourcing, you can find highly qualified Big Data engineers for hire all over the globe.