Data Engineering Services for Reliable and Efficient Data Flow
Build and optimize data pipelines, automate ETL processes, and integrate cloud solutions with an experienced team. Whether you need end-to-end data infrastructure development, support for ongoing operations, or a dedicated team to enhance your in-house capabilities, we’ve got you covered.
-
Top 1%of software development companies on Clutch
-
EU GDPRcommitment to security & privacy
-
60%of business is based on customer referrals
-
ISO 27001data security certification by Bureau Veritas
-
EY EoY 2023EY Entrepreneur of the Year in West Sweden
Struggling with inconsistent data? Build secure pipelines for better insights:
Data is only valuable if it’s accessible, reliable, and structured for analysis. Without a solid data engineering foundation, businesses face slow decision-making, inconsistent insights, and operational inefficiencies. Scalable data pipelines, automation, and cloud integrations ensure that your data is always where you need it — accurate, secure, and ready for action.
-
-
Faster decision-making
Automating data collection and transformation helps reduce manual work and speed up analytics. With real-time data processing, businesses can respond to changes more efficiently and gain insights without delays. -
Scalability & performance
Well-designed data systems can grow alongside a business, handling increasing data volumes without slowdowns. A scalable infrastructure helps maintain performance as data needs evolve. -
Cost efficiency
Optimized storage, processing, and data workflows can reduce infrastructure costs and improve resource utilization. Efficient data management helps prevent unnecessary expenses and supports long-term sustainability. -
Data security & compliance
Encryption, access controls, and governance frameworks help protect sensitive data and meet regulatory standards. A secure data environment minimizes risks while maintaining compliance with industry regulations.
-
Our Data Engineering Services
We design scalable architectures that support structured, unstructured, and real-time data processing. Our team helps businesses improve storage, streamline workflows, and create reliable systems for data-driven operations.
-
Data Pipeline Development
Automating ETL/ELT processes simplifies data movement between systems and reduces manual work. We design pipelines that efficiently extract, transform, and load data. With well-structured workflows, businesses gain faster access to clean and usable data.
-
Data Warehouse Modernization
Upgrading data warehouses improves query performance, storage efficiency, and overall system scalability. We optimize architectures to handle growing data volumes without slowing down operations. A well-structured warehouse enables faster reporting and better decision-making.
-
Big Data Solutions
Processing large datasets requires scalable and high-performance infrastructure. We develop architectures that support real-time and batch data analytics. Businesses can extract valuable insights while keeping performance high and costs manageable.
-
Data Integration Services
Unifying data from multiple sources improves consistency and eliminates silos. We design data engineering solutions that connect cloud platforms, databases, and third-party applications into a single, coherent system. A well-integrated data environment enhances reporting accuracy and cross-platform collaboration.
-
Data Quality and Governance
Reliable data requires strong validation, security, and governance measures. We implement frameworks that improve data accuracy, prevent inconsistencies, and align with compliance standards. High-quality data leads to better decision-making and reduces operational risks.
-
Custom Data Engineering Workshops
Our workshops are fully customized to match your team’s specific data challenges and goals. Instead of pre-made solutions, we design training sessions around your existing infrastructure, preferred tools, and industry requirements.
Let’s build a data solution that works for you:
Cooperation Types
Every business has unique data challenges, which is why we offer flexible cooperation models. Whether you need a long-term team, a focused project solution, or hands-on training, we provide the right level of support to match your goals.
-
Dedicated Development Teams
Direct communication and controlGet a skilled team fully integrated into your workflow, working as an extension of your in-house staff. This model ensures long-term support and seamless collaboration.
-
Project-Based Solutions
End-to-end supportIdeal for businesses with specific data engineering needs, this model delivers end-to-end development for clearly defined projects. We manage the process, ensuring timely delivery and high-quality results.
-
Custom Tech Workshops
Hands-on team trainingTailored training sessions designed to upskill your team in data engineering best practices, tools, and technologies. Each workshop is built around your specific challenges and business needs.
How AI & Automation Enhances Data Engineering
AI and automation are changing the way businesses handle data, making processes faster, more accurate, and less dependent on manual work. They help streamline data pipelines, improve analytics, and keep systems running smoothly as data needs grow. With AI-driven automation, companies can make informed decisions more quickly and with greater confidence.
-
Automated data pipelines
AI simplifies data movement by automating ETL/ELT workflows, reducing bottlenecks and delays. This ensures continuous data flow and frees up engineers to focus on higher-value tasks.
-
Smarter data quality management
Automated checks and anomaly detection help keep data consistent and reduce errors. With AI spotting issues early, datasets stay reliable for better analysis and decision-making.
-
Adaptive resource optimization
AI dynamically adjusts processing power based on data loads, preventing inefficiencies. Automated scaling ensures smooth performance without overloading systems or wasting resources.
-
Enhanced predictive capabilities
Machine learning models identify trends, detect patterns, and generate real-time insights. Businesses can anticipate future demands and optimize strategies with AI-driven forecasts.
Hire top data engineering experts for your data projects
Finding the right talent for complex data tasks can be challenging. As experienced data engineering service providers, we connect businesses with skilled professionals who specialize in building scalable data systems, optimizing workflows, and ensuring data reliability. Whether you need a single expert or a full team, we help you find the right fit.
-
$65/h
-
$50
-
$65/h
-
$75/h
-
$60/h
-
$60/h
-
$48/h
Our Data Engineering Process
Our data engineering as a service approach ensures that your data infrastructure is built for reliability, scalability, and performance. Whether you need end-to-end pipeline development or expert guidance from a data engineering consultancy, we tailor our process to your business needs. Each stage is designed to optimize data flow and support data-driven decision-making from planning to deployment.
-
Discovery & Strategy
We analyze your current data infrastructure, business objectives, and technical requirements. This helps us design a scalable architecture that aligns with your needs, whether it’s for analytics, real-time processing, or data warehousing. Defining a clear strategy upfront lays the foundation for an efficient and future-proof system.
-
Data Pipeline Design & Development
We build robust ETL/ELT workflows to efficiently collect, transform, and store your data. Our team integrates various data sources from APIs, databases, or cloud storage to create a unified and structured data environment. The goal is to provide reliable, well-organized data that can be used for reporting, analytics, and machine learning applications.
-
Optimization & Performance Tuning
Once the pipeline is set up, we make it faster and more efficient. We tweak queries, optimize storage, and automate workflows to cut down on delays and boost performance. This helps your data systems keep up with growing demands without slowing down.
-
Security & Compliance Implementation
Keeping your data safe is our priority. We use encryption, access controls, and governance policies to strengthen security. Our data engineering solutions follow industry standards and regulations like GDPR, HIPAA, and SOC 2. A secure system lowers risks and keeps sensitive data protected at all times.
-
Deployment & Ongoing Support
Once all the testing and validation are over, we release the solution with minimal downtime. Our team of data engineering experts stays involved and makes adjustments if needed.
Industries We Cover
From fast-growing startups to established enterprises, we help businesses build reliable, high-performance data infrastructure. Whether optimizing financial transactions, improving healthcare analytics, or driving sustainability initiatives, we design and implement data engineering solutions that make data accessible, actionable, and secure.
-
Healthtech
Reliable data infrastructure is crucial for healthcare analytics, patient records, and medical research. We build secure data pipelines that ensure compliance with HIPAA and GDPR while enabling real-time insights. From integrating EHR systems to supporting AI-driven diagnostics, we help healthtech companies make data-driven decisions with confidence.
-
Greentech
Sustainable innovation relies on accurate data collection, monitoring, and analysis. Our solutions support environmental data processing, IoT sensor integration, and energy consumption tracking. Whether it’s optimizing renewable energy usage or improving carbon footprint analytics, we help greentech businesses turn data into actionable insights.
-
Edtech
Scalable data systems are essential for adaptive learning platforms, student performance tracking, and content personalization. We design robust data pipelines to process and analyze educational data. With real-time analytics and cloud-based integrations, edtech companies can enhance learning experiences and optimize educational outcomes.
-
Fintech
Banks, payment platforms, and financial startups rely on fast and secure data systems to process transactions, detect fraud, and assess risk in real time. We build high-performance solutions that keep financial data flowing smoothly while meeting strict compliance standards like PCI DSS. With scalable infrastructure and machine learning integration, we help fintech companies handle large datasets efficiently and stay ahead of evolving security threats.
-
E-Commerce
In order to understand customers, you need lots of data. With that data businesses get to manage inventory and create personalized shopping experiences. Our scalable data pipelines deliver real-time insights, so businesses can stay on top of trends. They also can adjust pricing and keep customers engaged.
-
Logistics & Supply Chain
Data engineering helps logistics companies track shipments, optimize routes, and improve warehouse operations. We build data solutions that integrate IoT tracking, real-time inventory monitoring, and predictive analytics for demand forecasting. With seamless data flow, businesses can enhance efficiency, reduce costs, and improve delivery accuracy.
Why Choose Beetroot as a Data Engineering Company?
We build data engineering solutions that help you organize, process, and use data more easily. More than just technology, we focus on creating partnerships that support your long-term success. With quality and sustainability in mind, we make sure your data works in the best way for you.
-
Access to top talent
We bring together experienced data engineers and AI specialists from across Europe. Our teams are carefully selected to match your project’s technical and business needs. Whether you’re scaling an existing system or starting from scratch, you’ll have the right expertise at every stage. With access to top talent, your data infrastructure stays reliable and future-proof.
-
Customized team extensions
Expanding your team doesn’t have to be complicated. Our flexible engagement models allow you to integrate skilled professionals who align with your company culture and goals. Whether you need long-term support or short-term expertise, we adapt to your needs. You get an extended team that feels like a natural part of your business.
-
Commitment to sustainability
We take a responsible approach to technology by integrating sustainable practices into our work. As a CO2-neutral company, we minimize our environmental impact while delivering efficient data solutions. Sustainable operations mean a lower carbon footprint for your projects. Working with us supports both innovation and a greener future.
-
ISO 27001 certified security
Keeping your data secure is a top priority. Our ISO 27001 certification ensures that strict security standards are in place to protect sensitive information. We implement encryption, access controls, and governance frameworks to reduce risks. Your data remains safe, compliant, and ready for business use.
-
Proven track record
We’ve worked with companies in healthtech, fintech, greentech, and more, helping them build secure and scalable data systems. Our experience helps us understand different industry challenges and create solutions that fit each business. With many successful projects behind us, we focus on delivering real results that support growth.
What Our Clients Say About Us
We’ve worked with businesses across different industries, helping them solve challenges and build scalable, efficient solutions. Whether it’s data engineering, AI development, or improving digital products, our teams focus on delivering real impact. Here’s what our clients have to say about working with us.
Featured Work
We’ve helped businesses develop scalable, data-driven solutions that improve efficiency and support innovation. Our work spans industries like healthcare, fintech, and sustainability, delivering tailored systems that handle complex data needs.
Custom AI & Big Data Workshops
Building and managing complex data systems requires the right expertise. Our custom AI and big data workshops provide hands-on training tailored to your team’s specific challenges, tools, and workflows. Whether you’re refining data pipelines, improving analytics, or adopting AI-driven solutions, we equip your team with the skills to handle real-world data engineering tasks.
- Practical, business-specific learning. Every workshop is designed around your existing infrastructure and business goals. Instead of generic lessons, your team gains hands-on experience with the tools and technologies they use daily.
- Stronger in-house capabilities. Upskilling your team reduces reliance on external support and enables faster, more efficient problem-solving. Teams trained in best practices can optimize data workflows, improve performance, and manage scaling more effectively.
- Keeping up with evolving technology. Data engineering and AI technologies are constantly changing. Customized training ensures your team stays ahead with the latest tools, automation techniques, and security best practices.
Let’s build smarter data solutions together.
Have a data challenge or need expert support? Fill out the form, and let’s discuss how our data engineering consultants can help optimize your data pipelines, automate workflows, and enhance your infrastructure. Our team is ready to collaborate and find the right solution for your needs.
