data engineering firm

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 developers on Clutch.co
    Top 1%

    of software development companies on Clutch

  • GDPR compliance
    EU GDPR

    commitment to security & privacy

  • Managed Cloud Security
    60%

    of business is based on customer referrals

  • ISO 27001

    data security certification by Bureau Veritas

  • Entrepreneur of the Year Western Sweden
    EY EoY 2023

    EY 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.

See the impact of better data engineering:

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    • 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 control

    Get 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 support

    Ideal 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 training

    Tailored 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

    Senior Data Science Consultant

    Dimitar I., 10+ years of experience
    Dimitar leads data strategies along with predictive model development. His work spans multiple industries, delivering tailored solutions. He is an expert in transforming raw data into insights that drive operational efficiency.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $50

    DevSecOps Engineer

    Hanna K., 5+ years of experience
    Skilled in AWS container management (ECS Fargate, EKS), automation with Bash and Ansible, and cloud platforms (AWS IAM, VPC, EC2, S3, RDS, Lambda). Proficient in DevOps tools and monitoring systems (Prometheus, Grafana), with a strong understanding of IT security, data protection, and backups.
    • Cloud (AWS, AZURE, GCP)
    • Devops

    Request full CV

  • $65/h

    Data Architecture Engineer

    Laura S., 8+ years of experience
    Laura excels in building robust data models and architectures for real-time analytics and business intelligence. Her work ensures efficient data flow and storage, aligning with the needs of data-driven organizations.

    Request full CV

  • $75/h

    Senior Data Architecture Specialist

    Michael R., 12+ years of experience
    Michael specializes in designing and implementing scalable data architectures for large enterprises. He focuses on data integration, cloud migration, and optimizing data pipelines to ensure seamless performance. His expertise as a data architecture consultant helps businesses leverage data for strategic decision-making.
    • Backend
    • Cloud (AWS, AZURE, GCP)
    • Devops
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $60/h

    QA Internal Audit Specialist

    Milena R., 8+ years of experience
    Milena specializes in conducting comprehensive QA audits to pinpoint process inefficiencies. She uses a blend of manual evaluation and automated tools to perform detailed QA internal audits. Skills: Process Mapping, Compliance Auditing, Data Analysis, Documentation
    • Automated testing
    • Manual testing
    • QA

    Request full CV

  • $60/h

    Data Science Automation Engineer

    Olena S., 8+ years of experience
    Olena excels in automating data pipelines and integrating ML solutions into existing systems. Her expertise ensures scalable, secure data management and continuous improvement in predictive analytics, empowering your business with reliable insights.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $48/h

    Performance & Load Testing Engineer

    Patrycja H., 8+ years of experience
    Patrycja handles performance testing for large eCommerce sites with flash sales or peak seasonal traffic. She identifies bottlenecks through load simulations and advises on caching, database tuning, and content delivery network (CDN) usage to maintain rapid response times. Skills: Gatling, JMeter, AWS Load Balancer, Kibana.
    • Automated testing
    • Manual testing
    • QA

    Request full CV

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.

  • Comprehensive data services

    Managing data effectively requires a structured approach. We handle every stage of the data process, from cleaning and organizing to building advanced machine learning models. Our solutions help businesses work more efficiently, improve data quality, and gain useful insights. With the right data setup, making smart decisions becomes easier and more effective over time.

  • 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.

  • Our team was very satisfied with the quality of Beetroot’s work, as a whole. They bring an enjoyable attitude to the project while staying on top of all milestones for their deliverables.

    Co-founder & CTO of Genomics Platform

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.

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