All the data roles you need, when you need them.

Full Stack Datateam on Demand

Build a data platform and become more data driven as a company. Organise and model your data and systems to create a single source of truth (SSOT).

Jeroen & Donny discussing the data landscape

Jeroen and Max discussing data around a laptop

The Project Lead

Decide on a Data Strategy together

Unlock your organization's full potential with a strategic data approach. Together with our experts we analyse opportunities, address data challenges, and recommend cutting-edge solutions. We develop a roadmap and implementation plan to ensure success.

Business Goals.: Define short-term and long-term opportunities to be tackled with data.
Assess.: Assess the current capabilities and maturity of your data management and analytics.
Propose.: Propose new capabilities, processes and technologies to reach the business goals.
Plan.: Plan a roadmap and a rollout model. Start small and think big.

A schematic of a process to create a sound data strategy.

The Data Engineer

Build your Data Infrastructure

Lay a solid data foundation with efficient data engineering. Leverage advanced tools to streamline processes and maximize cost-efficiency in this dynamic field.

ELT.: Extract, load and transform internal and external data sources using modern tools. Enrich your data and your capabilities.
Data warehouse and Lake.: Build an OLAP database, a single source of truth for all of your data.
Data Modeling.: Build data models, e.g. a star schema, as a foundation for analytics.

Schematic of the data engineering lifecycle.

The Analytics Engineer

Implement Advanced Analytics

Unlock business potential with data-driven analytics. Stop relying only on intuition with data-informed decision-making.

Embedded Analytics.: Provide your customers with extra features and insights.
Business Intelligence.: Optimise your business and make data-informed decisions.
Operational Analytics.: Improve the usability, uptime and performance of your IT solutions.

The ML Engineer

Employ Machine Learning & Scientific Modelling

Automate critical business processes with ML use cases. Harness your valuable data to optimize key operations and gain a competitive edge.

PoC.: Explore and prove the value of an ML use-case.
MVP.: Bring machine learning into production and automate your business.
MLOps.: Combine DevOps and ML to get the maximum value out of your ML use cases.

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Software Engineering brought to Data

Our Expertises

We bring our software engineering expertise to the data field, ensuring highly flexible and qualitative solutions.

Security.: Manage access control to data & systems.
Data Management.: Data modelling, data governance (discoverability, definitions, accountability) and data integrity.
Data Ops.: Excellent operations: CI/CD, Infrastructure-as-code, observability, monitoring and incident reporting.
Data Architecture.: Analyze trade-offs, design for agility and add value to the business.
Orchestration: Coordinate workflows, schedule jobs and manage tasks.
Software Engineering: Programming and coding skills, software design patterns, testing and debugging.

Expertise in proven technologies

“I want to thank the BiteStreams team, and especially Donny Peeters & Maximilian Filtenborg, for delivering our tailored ‘performance analytics solution’ that will add a lot of value to our NextPax customers!”

Erik Engel

CEO, NextPax

Every company comes back for more

All of the companies we work with come back for additional iterations.

NPS: 100%
Projects delivered: 12
Of actionable insights created per day: 100's

Check out our relevant blogs

In our blog posts we try to contribute back to the Data, AI & Software community, where we share our learnings and the way we have tackled particular challenges.