Hire Data Engineers to Build Reliable and Scalable Data Pipelines

Empower your team with skilled data engineers who specialize in designing, building, and maintaining robust data infrastructure. From small businesses to enterprises, we deliver solutions tailored to your business needs.

Hire Data engineers
Pool of pre-vetted developers
Free hiring. Pay for work only.
Reduced overhead expenses
See the first candidates in just 2-4 days
5-star ratings from the DACH region’s top tech teams
Swiss Scholar
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Visoplan
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How Our Talent as a Service Solves Your Problems

Quickly Onboard Data Engineers

Start your project with experienced data engineers ready to integrate seamlessly into your team. Avoid delays and focus on building a reliable data foundation.

Bridge Expertise Gaps Efficiently

Hire professionals skilled in Python, SQL, Spark, and AWS Redshift. Strengthen your team with expertise in data architecture, ETL, and real-time processing.

Scale Your Data Team with Flexibility

Adapt your team size to meet the evolving demands of your business. Scale up for critical data migrations or scale down for ongoing maintenance effortlessly.

Simplify Administrative Tasks

Focus on your core objectives while we handle payroll, compliance, and HR. Streamline operational challenges with our outstaffing model.

Ensure Continuity and Meet Deadlines

Maintain steady progress with access to reliable replacements if needed. Deliver your data solutions on time with consistent engineering support.

What Can Our Data Engineers
Do for Your Business?

Data Pipeline Development

ETL/ELT Development

Cloud Data Architecture

Database Management and Optimization

Data Integration and API Development

Our data engineers design and build scalable, fault-tolerant data pipelines that efficiently move, process, and store data across platforms. We enable seamless data flow for both real-time and batch processing using technologies like Apache Kafka, Apache Spark, Airflow, and cloud-native tools—ensuring timely and reliable access to critical business data.

We create robust ETL (Extract, Transform, Load) and ELT processes that clean, normalize, and enrich raw data before loading it into your data warehouse or analytics platform. Our workflows support high data volumes and ensure your business intelligence tools always operate with accurate, up-to-date information.

Our team builds scalable and cost-efficient data architectures on cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform. From data lakes and warehouses to serverless data pipelines, we implement solutions that support your growth, enable advanced analytics, and reduce infrastructure overhead.

We manage and optimize databases for high performance, security, and scalability. Whether working with relational (PostgreSQL, MySQL) or NoSQL (MongoDB, Cassandra) systems, we ensure efficient data modeling, indexing, and query performance—so your applications can scale without compromise.

We develop secure, high-performance data integrations and APIs that connect diverse data sources and business systems. Our engineers create interfaces for real-time synchronization, secure data sharing, and system interoperability—supporting automation, analytics, and cross-platform functionality.

Data Pipeline Development

Our data engineers design and build scalable, fault-tolerant data pipelines that efficiently move, process, and store data across platforms. We enable seamless data flow for both real-time and batch processing using technologies like Apache Kafka, Apache Spark, Airflow, and cloud-native tools—ensuring timely and reliable access to critical business data.

ETL/ELT Development

We create robust ETL (Extract, Transform, Load) and ELT processes that clean, normalize, and enrich raw data before loading it into your data warehouse or analytics platform. Our workflows support high data volumes and ensure your business intelligence tools always operate with accurate, up-to-date information.

Cloud Data Architecture

Our team builds scalable and cost-efficient data architectures on cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform. From data lakes and warehouses to serverless data pipelines, we implement solutions that support your growth, enable advanced analytics, and reduce infrastructure overhead.

Database Management and Optimization

We manage and optimize databases for high performance, security, and scalability. Whether working with relational (PostgreSQL, MySQL) or NoSQL (MongoDB, Cassandra) systems, we ensure efficient data modeling, indexing, and query performance—so your applications can scale without compromise.

Data Integration and API Development

We develop secure, high-performance data integrations and APIs that connect diverse data sources and business systems. Our engineers create interfaces for real-time synchronization, secure data sharing, and system interoperability—supporting automation, analytics, and cross-platform functionality.

Hire a Data engineer faster and cheaper than in-house, who feels like in-house and is more reliable than a freelancer

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Vetted for Quality

Each developer is screened for real-world tech experience — not just textbook knowledge. You get devs who’ve built complex SPAs, handled performance tuning, and worked with modular architectures.

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Ready in Days, Not Weeks

Intelvision can match you with a developer fast — usually within 2–4 days — without compromising on fit or quality.

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Seamless Integration

Devs are trained to plug into existing teams and workflows with minimal friction. Agile, Git-based collaboration, CI/CD familiarity, and clean code practices are standard.

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Business-first Thinking

They’re not just coders — Intelvision devs understand product goals and build accordingly. You won’t have to overexplain user flows or tech tradeoffs.

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Flexible Terms, Fair Rates

You get senior-level expertise with transparent pricing (typically €30–50/hr) and no long-term lock-in unless you’re happy.

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DACH Region Experience

Developers have experience working with German and Swiss companies — timezone, culture, and documentation are familiar territory.

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Try First, Decide Later

Intelvision offers a no-risk start: you only pay if you’re happy with the developer after the first steps.

How it works

1
Send the request Now

Send us the skills and experience level you need.

2
Interview Developer 1-3 days

Meet your selected developer to ensure they are the right fit for your project.

3
Onboard Effortlessly 1-2 weeks

Integrate your developer into your team and align on processes.

4
Start Building For months or years

Begin collaborating directly to bring your projects to life.

Our clients say:

“Intelvision provided Visoplan with high-level project management, quick pace of work and tech skillfulness.”

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Boris Goldshteyn
DE Germany
Berlin, Germany

Why top DACH companies choose Intelvision

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Five product-scale features released and development costs reduced by 50%.

1 Full-Stack developer, 1 Back-End developer, 2 Front-End developers, 1 QA

3,5 years working together

Read more ⟶
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Accelerated internal operations by 250%, achieved 0€ hiring expense.

Mobile Developer, Backend Developer, QA, PM/BA

3 months

Read more ⟶
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Spent zero hiring costs, onboarded dev in just 12 days, and maintained over 30 months of consistent development support.

Full-Stack Developer

Duration: 2,5 years

Read more ⟶

Pricing

Customize your team, see your savings in seconds, and use the form below to send your request immediately

Choose a number of developers and skill level:
Senior
Middle
Junior
Additional team members you need:
Project manager
QA
UI/UX Designer


    Total monthly cost of Intelvision:

    Per 168 working hours/month

    Total monthly cost of in-house
    hire:

    Monthly savings with Intelvision:

    0 hiring costs
    Send request

    or Book a call

    FAQ

    1

    What types of projects are ideal for data engineers?

    Data engineers are ideal for building data pipelines, ETL processes, cloud migrations, and real-time data processing systems. Their expertise ensures scalable and reliable solutions.

    2

    What skills do your data engineers have?

    Our engineers are proficient in Python, SQL, Spark, and tools like AWS Redshift and Kafka. They excel in data integration, database management, and cloud-based architectures.

    3

    How quickly can I find a data engineer to hire?

    You can find a data engineer and onboard him within 2 weeks. Our streamlined process ensures your project starts promptly and progresses efficiently.

    4

    Can your engineers integrate with my existing systems?

    Yes, our engineers adapt to your tools, technologies, and workflows seamlessly. They ensure smooth integration with your data infrastructure and applications.

    5

    Do your engineers have experience with cloud platforms?

    Absolutely. Our engineers specialize in AWS, Azure, and Google Cloud. They ensure scalability, cost-efficiency, and reliability for your cloud-based solutions.

    6

    What engagement models do you offer?

    We provide a flexible full-time engagement model that ensures you have dedicated developers for as long as you need them. If your requirements change or the project wraps up sooner, you can end the collaboration with a 30-day notice, giving you control over your budget and resources.

    7

    What happens if the engineer doesn’t meet my expectations?

    We provide a prompt replacement at no additional cost. Your satisfaction and project success are our top priorities.

    8

    Do you offer post-deployment support?

    Yes, we provide ongoing maintenance, optimization, and feature updates. Our engineers ensure your data systems remain efficient and functional.