Kozak Agency

Workload: full-time
Location: any
English: B2

Project Overview
Project Start: October 1, 2026
Duration: Long-term project, with contracts renewed in 3-month cycles.
Tech Stack: Native development (SwiftUI, Kotlin).
Work Mode: Remote (onboarding and occasional meetings at the client's office in Hamburg may be required).

Language of Communication: German (minimum B2, C1 preferred).
 

Further information will be provided by the client later, after receiving the candidates' CVs.

We are looking for a Senior Go Developer to join a long-term project for our client.
 

Requirements

• 5+ years of commercial software development experience
• Strong expertise in Go (Golang)
• Experience building scalable backend systems and APIs
• Solid understanding of software architecture and best development practices
• Polish language proficiency (mandatory)
• English level B2+ will be an advantage
   

Project Details

• Start date: ASAP (ideally mid-July)
• Full-time engagement
• Long-term cooperation
• Remote / Location: Any
   

Additional project details will be shared with selected candidates during the next stages of the recruitment process.
 

If you are an experienced Go Developer and fluent in Polish, we'd love to hear from you!

Workload: full-time
Location: any
English: B2

Project Overview
Project Start: October 1, 2026
Duration: Long-term project, with contracts renewed in 3-month cycles.
Tech Stack: Native development (SwiftUI, Kotlin).
Work Mode: Remote (onboarding and occasional meetings at the client's office in Hamburg may be required).

Language of Communication: German (minimum B2, C1 preferred).
 

Further information will be provided by the client later, after receiving the candidates' CVs.

We are looking for a Senior Go Developer to join a long-term project for our client.
 

Requirements

• 5+ years of commercial software development experience
• Strong expertise in Go (Golang)
• Experience building scalable backend systems and APIs
• Solid understanding of software architecture and best development practices
• Polish language proficiency (mandatory)
• English level B2+ will be an advantage
   

Project Details

• Start date: ASAP (ideally mid-July)
• Full-time engagement
• Long-term cooperation
• Remote / Location: Any
   

Additional project details will be shared with selected candidates during the next stages of the recruitment process.
 

If you are an experienced Go Developer and fluent in Polish, we'd love to hear from you!

FTE: Full-time (40 h per week)
Timeline: 3-6 months (tbd)
Start: ASAP
English: B2
Recruitment process: a tech check with our client, then an interview with the main client

The company
A well-established B2D (business-to-developer) SaaS platform operating at significant scale. Their product is infrastructure-level - real-time connectivity used by developers worldwide.

The team
~6–7 people: tech lead, PM, delivery manager, 3 web engineers + contractors. Small, tight-knit, opinionated. Standups Monday and Friday.

The role
One senior hire. This is a product-minded engineering role, not ticket execution. They’re shifting away from reactive delivery toward engineers who understand customers and drive outcomes.

Tech stack
React + TypeScript (frontend), Ruby on Rails (backend), some Node/TS services, Postgres.

What they’re looking for

• Developer empathy - you build tools for developers, you get the frustrations firsthand
• Product thinking - question requirements, propose what should be built
• Ownership - concept to shipped with minimal hand-holding
• Proactive communicator
• Comfortable with AI coding assistants (they use them actively)
• Design + UX intuition

Workload: minimum 50%, up to 80–100% !!!
Start: after summer holiday period (early autumn)
Duration: long-term assignment (exact length to be confirmed)
Location: flexible / hybrid (EU-based collaboration expected)
English: B2


Description:
We are looking for an experienced Senior Data Architect to define a reusable and scalable data foundation supporting sustainability, EHS, and product compliance use cases within a global manufacturing environment.

This assignment focuses on building a governed data architecture that enables automation of lifecycle-related calculations and reporting (such as LCA, product carbon footprint, and environmental declarations), while also supporting broader sustainability reporting, regulatory compliance, and future digital product requirements.

Responsibilities:

• Define the target data architecture and reusable data foundation
• Identify and structure key data domains and data products
• Design data ownership and governance models
• Establish principles for:
• Data quality and validation
• Data lineage and traceability
• Versioning and auditability
• Ensure a modern lakehouse platform acts as the governed backbone for trusted data
• Enable integration of external calculation and authoring tools where appropriate
• Collaborate across business and IT domains to avoid fragmented point-to-point integrations
• Support the creation of reusable, auditable data products for multiple stakeholders

Required experience !!!!!:

• Strong experience in data architecture and modern data platforms (lakehouse)
• Hands-on knowledge of data governance, data products, and domain-driven data design
• Experience working with manufacturing, product data, or industrial environments
• Understanding of sustainability reporting and/or compliance-driven data requirements
• Ability to work across multiple stakeholders: business, IT, data, and compliance teams
• Experience integrating data across systems such as ERP, PLM, and analytics platforms

Nice to have:

• Experience with sustainability-related domains (e.g. lifecycle assessment, carbon footprint, environmental reporting)
• Experience with compliance-driven data (e.g. chemical, product, EHS)
• Familiarity with emerging requirements such as Digital Product Passport

Workload: full-time
Location: any
English: B2

Project Overview
Project Start: October 1, 2026
Duration: Long-term project, with contracts renewed in 3-month cycles.
Tech Stack: Native development (SwiftUI, Kotlin).
Work Mode: Remote (onboarding and occasional meetings at the client's office in Hamburg may be required).

Language of Communication: German (minimum B2, C1 preferred).
 

Further information will be provided by the client later, after receiving the candidates' CVs.

Workload: minimum 50%, up to 80–100% !!!
Start: after summer holiday period (early autumn)
Duration: long-term assignment (exact length to be confirmed)
Location: flexible / hybrid (EU-based collaboration expected)
English: B2


Description:
We are looking for an experienced Senior Data Architect to define a reusable and scalable data foundation supporting sustainability, EHS, and product compliance use cases within a global manufacturing environment.

This assignment focuses on building a governed data architecture that enables automation of lifecycle-related calculations and reporting (such as LCA, product carbon footprint, and environmental declarations), while also supporting broader sustainability reporting, regulatory compliance, and future digital product requirements.

Responsibilities:

• Define the target data architecture and reusable data foundation
• Identify and structure key data domains and data products
• Design data ownership and governance models
• Establish principles for:
• Data quality and validation
• Data lineage and traceability
• Versioning and auditability
• Ensure a modern lakehouse platform acts as the governed backbone for trusted data
• Enable integration of external calculation and authoring tools where appropriate
• Collaborate across business and IT domains to avoid fragmented point-to-point integrations
• Support the creation of reusable, auditable data products for multiple stakeholders

Required experience !!!!!:

• Strong experience in data architecture and modern data platforms (lakehouse)
• Hands-on knowledge of data governance, data products, and domain-driven data design
• Experience working with manufacturing, product data, or industrial environments
• Understanding of sustainability reporting and/or compliance-driven data requirements
• Ability to work across multiple stakeholders: business, IT, data, and compliance teams
• Experience integrating data across systems such as ERP, PLM, and analytics platforms

Nice to have:

• Experience with sustainability-related domains (e.g. lifecycle assessment, carbon footprint, environmental reporting)
• Experience with compliance-driven data (e.g. chemical, product, EHS)
• Familiarity with emerging requirements such as Digital Product Passport

Workload: full-time
Location: any
English: B2

Project Overview
Project Start: October 1, 2026
Duration: Long-term project, with contracts renewed in 3-month cycles.
Tech Stack: Native development (SwiftUI, Kotlin).
Work Mode: Remote (onboarding and occasional meetings at the client's office in Hamburg may be required).

Language of Communication: German (minimum B2, C1 preferred).
 

Further information will be provided by the client later, after receiving the candidates' CVs.

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

Workload: full-time
Start: as soon as possible 
Duration: long-term
Location: any
English: B2

Mandatory Skills:
Hands-on experience with Snowflake Cortex
Experience with Cortex Analyst, Cortex Search, and AI-powered applications on Snowflake
Experience building and deploying Snowflake Agents
Strong understanding of Semantic Models/Semantic Views
Experience leveraging Cortex capabilities for natural language querying, insight generation, and agentic workflows
Proven Snowflake implementation experience (candidates with no Snowflake experience will not be considered)

Preferred Skills:
Experience with GenAI/LLM-based solutions
Experience designing enterprise analytics and insight-generation solutions
Strong Python and SQL skills
Experience working in regulated industries such as Life Sciences is a plus

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

Duration: 3-6 months

Must Have Skills:

• Senior-level Data Science / ML ownership — 5+ years
• ETL / data pipelines for ML — 3+ years
• Python + production ML / MVP delivery — 4+ years
• Geospatial / positional / logistics-related data - any exp

About the Project
We are looking for a Senior Data Scientist / ML Engineer to support a Berlin-based logistics technology product company on a data science project focused on building a production-ready MVP.
The project is currently in an early research / proof-of-concept stage. Initial validation has shown that the concept is technically feasible, and the next step is to bring it from research into a usable MVP that can be integrated into the existing product infrastructure.
The solution will use positional / location-based data to identify specific locations and generate insights that help drivers and improve operational efficiency.
This is not a fully isolated greenfield project. The work will be connected to existing internal systems, data pipelines, and infrastructure. Therefore, the ideal candidate should be highly autonomous, senior enough to clarify requirements directly with internal stakeholders, and able to take ownership of the solution with limited day-to-day supervision.

Responsibilities

• Own the data science and ML development work from research validation to a usable MVP.
• Build and improve data pipelines and ETL processes that feed the model.
• Work with positional / geospatial / location-based data.
• Develop, validate, and iterate on ML models that identify relevant locations and generate useful outputs for the product.
• Prepare the model and pipelines to run in production on a scheduled basis.
• Work with internal data, product, and engineering teams to understand available data, infrastructure, constraints, and business requirements.
• Translate high-level product and business goals into technical implementation steps.
• Make technical decisions independently while keeping internal stakeholders aligned.
• Document the solution, assumptions, limitations, and handover materials for the internal team.
• Ensure that the MVP can be further scaled, improved, and integrated into the company’s existing product suite.

Required Experience

• 5+ years of experience in Data Science, Machine Learning, or ML Engineering.
• Strong hands-on experience building ML models from concept to production or MVP stage.
• Experience working with ETL processes, data pipelines, data preparation, and model input pipelines.
• Strong Python experience and common data science / ML libraries.
• Experience working with large datasets and imperfect real-world data.
• Ability to work with positional, geospatial, mobility, logistics, or location-based data.
• Experience deploying or preparing ML models for production usage.
• Strong understanding of model evaluation, iteration, and practical trade-offs between accuracy, speed, and business value.
• Ability to work independently with limited day-to-day guidance.
• Strong ownership mindset: ability to clarify requirements, identify blockers, communicate with stakeholders, and drive the work forward.

Nice to Have

• Experience in logistics, transportation, mobility, route optimization, delivery, or fleet-related products.
• Experience with cloud data infrastructure such as AWS, GCP, or similar.
• Experience with scheduled production pipelines, batch processing, or workflow orchestration tools.
• Experience handing over ML solutions to internal engineering or data teams.
• Previous experience in startup or product-company environments.

Requirements:
-Strong JS, NodeJS, React Router, Redux background required
-Experience with REST API integration
-NodeJS (TriadJS) experience required
-Experience with Google Charts, Splunk, Figma

Project:
Start: ASAP
Format: Full-Time
Duration: long-term (діючий проєкт)
Team size: 5
Domain: Logistics

Location/Timezone: EU standard hours, rare overlap with US (meetings ~once per 3-4 days)
English level: C1+

Location: EU (Remote)
Start: ASAP
Engagement: 3 months part-time, then full-time
Seniority: Strong Middle+ / Senior
English: B2+
Interview Rounds: 2-3

We are looking for a hands-on Lead Full-Stack Engineer to join an ambitious SportsTech startup building next-generation football products, live-score experiences, betting tools, and fan engagement platforms.

Requirements !!!

• 6+ years of software engineering experience
• Strong Node.js backend development experience
• Production experience with Flutter
• Strong knowledge of React, Next.js, TypeScript
• Experience with PostgreSQL, Redis, Firebase, REST APIs
• CI/CD, automated testing, and production deployments
• Experience shipping products used by real customers

Nice to Have

• Sports data, live scores, betting products
• Experience with sports data providers such as Sportradar, Stats Perform, Sofascore, Flashscore, or similar companies
• Real-time systems and live data feeds
• Odds feeds and bookmaker integrations
• Push notifications at scale
• Cloudflare, Railway, or similar platforms

Responsibilities

• Develop and maintain Node.js backend services
• Build and improve Flutter mobile applications
• Work on React/Next.js web applications
• Integrate sports data and third-party APIs
• Support live-score infrastructure and real-time user experiences
• Own features from concept to production
• We're looking for someone who enjoys ownership, thrives in a startup environment, and can work closely with the CTO to shape the future of the platform.