Data Engineering services

Empower your business with custom data engineering solutions designed to optimize operations and unlock the full potential of your enterprise data. From scalable pipelines to real-time processing and advanced DataOps, our expertise ensures your data fuels smarter decisions and competitive growth.

Our data engineering expertise has earned the trust of renowned enterprises across industries. Why do businesses choose us?

Leaders trusting our data engineering solutions:

15+

years empowering enterprises with data-driven strategies

50+

successful large-scale projects completed

40%

reduction in development costs on average for our clients

Next steps for your data engineering transformation journey

Strategize with Xenoss

Partner with our specialists to define strategic priorities, assess the current data landscape and identify gaps, and prioritize use cases. We help you select core technologies, ensure data and IP security, and align your data strategy with business goals, processes, and key stakeholders — all to create measurable business impacts

Design the blueprint with Xenoss

Work closely with our experts to conduct a comprehensive discovery and assessment phase, defining your use case objectives and setting clear goals. We help you select the right frameworks and technology accelerators for your needs, and collaboratively design architecture patterns, addressing constraints and finalizing recommendations—all to ensure an efficient and scalable data solution

Build with Xenoss

Collaborate with Xenoss to refine or validate your existing architecture, develop a working prototype with expert support, and create a clear roadmap for production. Together, we’ll ensure your solution is built for real-world success

Data Engineering suite: some of Xenoss’ data engineering capabilities

With extensive experience in data engineering, Xenoss builds specialized teams to deliver efficient, customized data solutions that address your unique, industry-specific, and enterprise-scale challenges

Data fabric

Xenoss helps you implement a robust data fabric that connects and integrates data across your entire infrastructure, ensuring smooth data flows and improving data accessibility for your teams.

Data platforms

We design and develop scalable data platforms tailored to meet your business requirements, enabling you to effectively manage, store, and analyze data at scale.

Intelligent Process Automation (IPA) systems

Data pipelines

Our team builds reliable data pipelines that process, transform, and transport data between systems, ensuring your data is always available in the right place at the right time.

Data infrastructure

Xenoss delivers complete data infrastructure solutions that enable efficient data storage and processing, providing scalability, reliability, and security for all of your data operations.

Data migration

We support seamless data migration between platforms, ensuring data consistency and integrity during system upgrades or technology transitions without disrupting your operations.

Data mining and preparation

Our data mining and preparation services help you cleanse and transform raw datasets into clean, structured, and ready-to-use data to fuel downstream processes and analytics.

Infrastructure cost optimization

Xenoss helps identify cost-saving opportunities within your data infrastructure, optimizing resource usage to reduce expenses while maintaining system performance.

Data stack integration

We provide data stack integration services to ensure your data tools and technologies work together seamlessly, improving data quality, workflows, and overall productivity.

Real-time data solutions

Our real-time data solutions ensure you have access to the freshest data as it’s generated, enabling faster insights and real-time decision-making.

Data analytics solutions

Xenoss builds data analytics solutions that help you generate actionable insights, providing visibility into key metrics to inform better business and engineering decisions.

Data visualization & reporting solutions

We develop visualization and reporting tools that turn complex data into understandable visuals, making it easier for you and your stakeholders to interpret and act on key insights.

Enterprise application modernization services

Xenoss helps you modernize legacy enterprise applications to improve performance, scalability, and compatibility, ensuring your tech stack is future-ready.

Data strategy

Our data strategy services help engineering leaders design a data roadmap, ensuring your organization gets the most value out of its data assets and is set up for long-term success.

Data engineering consulting

We provide expert consulting on data architecture, helping you design, build, and optimize your data infrastructure for efficiency, reliability, and scalability.

Business intelligence

Xenoss delivers BI solutions that empower data teams to extract actionable insights, enabling data-driven strategies and enhancing decision-making across the organization.

Cloud solutions

Build products from scratch to ensure their scalability, load tolerance, and facilitated maintenance.

Common data engineering challenges we solve

Inconsistent data integration

Unite disparate data from multiple sources

Low data quality

Filter and enrich fragmented, messy, or incomplete data

Limited scalability of data pipelines

Build scalable data pipelines with Xenoss engineering expertise

Inability to process real-time data

Develop real-time data platforms that process queries in milliseconds

Data security vulnerabilities

Best data security practices: encryption, data backup systems, endpoint security systems

High costs and suboptimal storage solutions

Reduce the cost of ownership by choosing an optimal tech stack

Insufficient pipeline monitoring and debugging

Streamline pipeline monitoring and debugging with automated workflows

Data siloing across departments

Facilitate cross-department communication with all-in-one platforms designed by Xenoss engineers

Data duplication and redundancy

Avoiding data duplication with standardization, data matching, and quality assessments

Repetitive tasks

Build tools for workflow automation to improve the productivity of data teams

Challenges with data archiving and retention

Automate archiving workflows and assist teams on archiving policies

Lack of transparency in data lineage and governance

Have full control of their data with robust governance frameworks

Leading companies have already built custom data platforms.

You can do it too.

Why Xenoss

World’s leader in streaming pipelines

Leverage Xenoss’s track record of building numerous systems handling petabytes of real-time data to develop your custom hyper-fast streaming data processing and analytics solution.

Extensive experience with high-load

Drive your business forward with systems designed for scale, built on our experience delivering solutions that process millions of operations daily for global enterprises.

Proven enterprise track record

Benefit from our extensive experience working with enterprise companies, delivering scalable solutions that handle complex business requirements and mission-critical operations.

Speed of delivery

Utilize Xenoss’s pre-built development accelerators to get your data solutions delivered extremely fast.

Multi-cloud strategy

Architect scalable multi-cloud systems using Xenoss’s multi-cloud competence, enabling cost-efficiency, balanced workload distribution, and enhanced system resilience.

Tech agnostic

Choose or stay with the most suitable tech stack, leveraging Xenoss’s proficiency in diverse tools and platforms.

End-to-End solution architecture

Work with experts who bridge the gap between business challenges and technical solutions, ensuring seamless integration from strategy through implementation and beyond.

Business-First approach

Partner with Xenoss team that combines technical expertise with business acumen, delivering solutions that align perfectly with your enterprise objectives and drive measurable ROI.

Our Partners

Evolve your project and expand the range of partners and clients with custom Data Engineering solutions

Xenoss developers have the skillset and domain knowledge to help various businesses change and adapt to market trends and user expectations.

Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.

Oli Marlow Thomas,

CEO and founder, AdLib

Get a free consultation

What’s your challenge? We are here to help.

Explore more ways to accelerate the growth and impact of your project through AI technology and Data Engineering

There is a lot more we can build together.

AI capabilities

Predictive modeling
Computer vision
Conversational AI
Generative AI
AI consulting

Data engineering

Data fabric
Data platforms
Data pipelines
Data infrastructure
Data migration
Data mining and preparation
Infrastructure cost optimization
Data stack integration
Real-time data solutions
Data analytics solutions
Data visualization & reporting solutions
Enterprise application modernization services
Data strategy
Data engineering consulting
Business intelligence

Machine Learning and automation

ML & MLOps
ML system TCO optimization
Model & algorithm development and integration
RPA (Robotic Process Automation)

FAQ

What does a data engineer consultant do?

A data engineering consultant helps organizations design, build, and optimize data infrastructure for effective data-driven decision-making. They provide data engineering consulting services like developing data pipelines, data lakes, and analytics. Consultants from data engineering companies also assist with data strategy and business use case solutioning.

Whether exploring data engineering with AWS, AI strategy, or data engineering in finance, data engineering consulting firms provide tailored solutions, including data engineering as a service. By partnering with data engineering companies or service providers, businesses can leverage expertise to build reliable and future-proof data systems.

What is the difference between a data engineer and a data consultant?

A data engineer focuses on building, developing, and maintaining data infrastructure, such as data pipelines, data lakes, and data warehouses. They ensure that data is collected, stored, and made accessible efficiently for analysis. Data engineering consulting services often involve designing scalable data solutions, managing data quality, and implementing technologies like AWS for data processing.

On the other hand, a data consultant works more strategically, helping companies understand their data needs and advising on how to best leverage their data for decision-making and achieving business objectives. They often work with stakeholders to define data strategies and align technical capabilities with business goals. While data engineers are hands-on with coding and system architecture, data consultants take a more advisory role, which can involve data strategy development, assessing business use cases, and recommending data solutions.

In short, data engineers are builders, focusing on technical implementation, while data consultants are advisors, focusing on strategic alignment and planning.

What does a data engineer do in a company?

A data engineer is responsible for designing, building, and managing the data infrastructure that supports a company’s analytics and business intelligence needs. This includes creating data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes, ensuring that the data is reliable, scalable, and available for analysis.

They also work to optimize data flow, improve data quality, and make sure that data systems are efficient and secure. Data engineers often collaborate closely with data scientists, analysts, and other business teams to understand data needs and provide the necessary infrastructure for insights and decision-making. They use technologies such as AWS, Spark, or SQL to create solutions that transform raw data into structured formats that the company can leverage for analytics and reporting.