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.

Optimize my data pipeline

  • Top 1% of global
    Software Service providers

  • ISO 27001 certification
    by Bureau Veritas

  • GDPR-Compliant processes
    for responsible data protection

  • AWS trusted infrastructure
    for scalable solutions

  • Bureau Veritas —
    an independent global leader in testing, inspection, and certification.

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 decisions, inconsistent insights, and operational inefficiencies. Scalable pipelines, automation, and cloud integrations keep your data accurate, secure, and ready for action.

  • Faster Decision-Making

    Automating data collection and transformation cuts manual work and speeds up analytics, so you react to change and gain insights without delays.

  • Scalability and Performance

    Well-designed data systems grow with your business, handling increasing data volumes without slowdowns as your data needs evolve.

  • Cost Efficiency

    Optimized storage, processing, and workflows reduce infrastructure costs, improve resource utilization, and prevent unnecessary expenses.

  • Data Security and Compliance

    Encryption, access controls, and governance frameworks protect sensitive data and keep you compliant 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

    We design pipelines that automate ETL/ELT, efficiently extracting, transforming, and loading data so your business gets faster access to clean, usable data.

    Built-in monitoring and alerting catch failures early, so reports and downstream apps keep running on schedule.

  • Data Warehouse Modernization

    We upgrade warehouse architectures for better query performance, storage efficiency, and scalability, enabling faster reporting as data volumes grow.

    We migrate legacy systems to platforms like Snowflake, BigQuery, or Redshift step by step, keeping your reporting live throughout the transition.

  • Big Data Solutions

    We build scalable, high-performance infrastructure for real-time and batch analytics, so you extract insights while keeping costs manageable.

    Using tools like Spark and Kafka, we process high-volume streams reliably and size infrastructure to your actual workloads.

  • Data Integration

    We connect cloud platforms, databases, and third-party applications into one coherent system, eliminating silos and improving reporting accuracy.

    The result is a single source of truth that every team can trust, from finance to product.

  • Data Quality and Governance

    We implement validation, security, and governance frameworks that improve data accuracy, prevent inconsistencies, and align with compliance standards.

    Clear ownership, lineage, and access rules make audits easier and give your teams confidence in the numbers they use every day.

  • Custom Data Engineering Workshops

    Instead of pre-made courses, we design training around your existing infrastructure, preferred tools, and industry requirements to solve your data challenges.

    Hands-on sessions led by our senior engineers help your team adopt new practices faster and keep the solution running long after handover.

  • Let’s build a data solution that works for you:

Cooperation Types

Every business has unique data challenges, so we offer flexible cooperation models. Whether you need a long-term team, a focused project, or hands-on training, we provide the right level of support for your goals.

  • Dedicated Development Teams

    Direct communication and control

    Get a skilled team fully integrated into your workflow and working as an extension of your in-house staff, with long-term support and seamless collaboration.

  • Project-Based Solutions

    End-to-end support

    Ideal for specific data engineering needs, this model delivers end-to-end development for clearly defined projects, with on-time, high-quality results.

  • Custom Tech Workshops

    Hands-on team training

    Tailored sessions upskill your team in data engineering best practices, tools, and technologies, built around your specific challenges and business needs.

From a single pipeline to a long-term data team, we adapt our cooperation to your goals.

How AI and Automation Enhance Data Engineering

AI and automation make data processes faster, more accurate, and less dependent on manual work. They streamline pipelines, improve analytics, and keep systems running smoothly as data needs grow, so you make informed decisions faster and with more confidence.

  • Automated Data Pipelines

    AI automates ETL/ELT workflows, reducing bottlenecks and delays. Data flows continuously, and engineers can focus on higher-value tasks.

  • Smarter Data Quality Management

    Automated checks and anomaly detection keep data consistent and catch issues early, so datasets stay reliable for analysis and decisions.

  • Adaptive Resource Optimization

    AI adjusts processing power to data loads, and automated scaling keeps performance smooth without overloading systems or wasting resources.

  • Enhanced Predictive Capabilities

    Machine learning models identify trends and patterns in real time, helping you anticipate demand and optimize strategies with AI-driven forecasts.

Ready to automate your data workflows?

Hire top data engineering experts for your data projects:

Finding the right talent for complex data tasks can be challenging. We connect you 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.

  • $55/h

    Senior Data Analyst

    Olha B., 8+ years of experience
    A highly experienced Senior Data Analyst with a track record of driving strategic business outcomes through advanced data analysis and modeling. Possesses deep expertise in statistical inference, predictive modeling, and data storytelling, effectively communicating complex findings to both technical and non-technical audiences.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Cloud Platforms: AWS, Azure, GCP
    • Data governance
    • Data warehousing
    • NumPy
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $32/h

    Junior Data Analyst

    Artem K., 2+ years of experience
    A motivated and detail-oriented Junior Data Analyst. Eager to apply his strong analytical foundation to real-world business challenges. Has a solid understanding of statistical concepts and data manipulation techniques. Skilled in data cleaning, preparation, and basic analysis. Proficient in data visualization tools and is committed to learning and growing within the field.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $43/h

    Data Analyst & BI Specialist (mid‑level)

    Minh Khoa N., 5 years of experience
    Data‑driven professional translating raw numbers into business‑ready insights. Skilled in SQL, Python, and modern BI tooling, Khoa builds automated dashboards and predictive models that cut reporting time and boost revenue.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • BI tools (Power BI, Tableau, Looker Studio)
    • CI/CD
    • Data quality
    • Jupyter
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    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

  • $58/h

    Mid-Level Data Scientist

    Nazar B., 5+ years of experience
    Proficient in statistical and ML techniques to solve business problems. Experience in collecting, cleaning, and analyzing large datasets, building predictive models, and communicating findings to stakeholders. Adept at working with various data sources and utilizing data visualization tools.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Data processing (PySpark)
    • Jupyter
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $85/h

    Senior Data Scientist

    Magdalena R., 10+ years of experience
    A highly experienced data scientist with a proven track record of leading complex data science projects from inception to deployment. Expertise in developing and implementing advanced ML models, conducting statistical analysis, and providing actionable insights to drive business decisions.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Cloud Platforms: AWS, Azure, GCP
    • Keras / TensorFlow / PyTorch
    • Processing: Hadoop, Spark, PySpark
    • Python
    • R
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $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

Our Data Engineering Process

Our data engineering as a service approach builds your data infrastructure for reliability, scalability, and performance. Whether you need end-to-end pipeline development or expert consulting, each stage is tailored to optimize data flow and support data-driven decisions.

  • Discovery and Strategy

    Step 1

    We analyze your current data infrastructure, business objectives, and technical requirements to design a scalable architecture for analytics, real-time processing, or warehousing.

  • Data Pipeline Design and Development

    Step 2

    We build robust ETL/ELT workflows that integrate APIs, databases, and cloud storage into a unified, structured environment ready for reporting, analytics, and ML.

  • Optimization and Performance Tuning

    Step 3

    We tweak queries, optimize storage, and automate workflows to cut delays and boost performance, so your systems keep up with growing demand without slowing down.

  • Security and Compliance Implementation

    Step 4

    We apply encryption, access controls, and governance policies that follow GDPR, HIPAA, and SOC 2, lowering risks and keeping sensitive data protected at all times.

  • Deployment and Ongoing Support

    Step 5

    After testing and validation, we release the solution with minimal downtime. Our data engineering experts stay involved and make adjustments whenever needed.

Industries We Cover

From fast-growing startups to established enterprises, we help businesses build reliable, high-performance data infrastructure that makes data accessible, actionable, and secure.

  • HealthTech

    We build secure, HIPAA- and GDPR-compliant pipelines for analytics, patient records, and research, from EHR integration to AI-driven diagnostics.

  • GreenTech

    Our solutions process environmental data, integrate IoT sensors, and track energy use to optimize renewables and improve carbon footprint analytics.

  • EdTech

    Robust pipelines power adaptive learning, student performance tracking, and content personalization with real-time analytics and cloud integrations.

  • FinTech

    High-performance, PCI DSS-compliant systems process transactions, detect fraud, and assess risk in real time while handling large datasets efficiently.

  • E-Commerce

    Scalable pipelines deliver real-time insights for inventory, personalized shopping, and pricing, so you stay on top of trends and keep customers engaged.

  • Logistics and Supply Chain

    We integrate IoT tracking, real-time inventory monitoring, and demand forecasting to optimize routes, cut costs, and improve delivery accuracy.

    Unified data helps operations teams identify delays, shortages, and capacity constraints earlier. Reliable pipelines also give carriers, warehouses, and suppliers a consistent view of current conditions.

Let’s build reliable data infrastructure for your industry:

Why choose Beetroot as a data engineering company?

We build data engineering solutions that help you organize, process, and use data more easily. Beyond technology, we focus on partnerships that support your long-term success, with quality and sustainability in mind.

  • Access to Top Talent

    Experienced data engineers and AI specialists from across Europe, selected for your project’s technical and business needs, keep your data infrastructure reliable at every stage.

  • Customized Team Extensions

    Flexible engagement models let you add skilled professionals who fit your culture and goals, for long-term support or short-term expertise, as a natural part of your business.

  • Commitment to Sustainability

    As a CO2-neutral company, we integrate sustainable practices into our work, lowering the carbon footprint of your projects while delivering efficient data solutions.

  • ISO 27001 Certified Security

    Our ISO 27001 certification means strict security standards, with encryption, access controls, and governance frameworks that keep your data safe, compliant, and ready for use.

  • Comprehensive Data Services

    We handle every stage of the data process, from cleaning and organizing to advanced machine learning models, helping you improve data quality and gain useful insights.

  • Proven Track Record

    We’ve built secure, scalable data systems for companies in HealthTech, FinTech, GreenTech, and more, so we understand industry challenges and deliver real results.

What Our Clients Say About Us

We’ve helped businesses across industries solve challenges and build scalable, efficient solutions, from data engineering and AI development to digital products. Here’s what our clients say about working with us.

  • Co-founder & CTO
    Genomics Platform

    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.

Featured Work

We’ve helped businesses develop scalable, data-driven solutions that improve efficiency and support innovation across healthcare, fintech, sustainability, and other industries.

  • AI Genomics Platform

    We developed a scalable AI-driven platform for genetic data analysis, with robust data pipelines that process and structure genomic data efficiently. The solution enables faster, more accurate genome interpretation and supports advances in personalized medicine.

    Read the full story

    • Python
    • Angular
    • Docker
    • Flask
    • Vue js

Custom AI and Big Data Workshops

Our custom AI and big data workshops provide hands-on training tailored to your team’s challenges, tools, and workflows. Whether you’re refining pipelines, improving analytics, or adopting AI, we equip your team for real-world data engineering tasks.

  • Practical, Business-Specific Learning

    Every workshop is designed around your infrastructure and goals, so your team gains hands-on experience with the tools it uses daily.

  • Stronger In-House Capabilities

    Upskilling reduces reliance on external support, so trained teams optimize workflows, improve performance, and manage scaling themselves.

  • Keeping Up with Evolving Technology

    Customized training keeps your team ahead with the latest tools, automation techniques, and security best practices as technology changes.

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 optimize your data pipelines, automate workflows, and enhance your infrastructure.

    FAQs

    Nick Tykhomyrov, CBDO, Beetroot

    Nick Tykhomyrov

    CBDO