Senior Data Engineer / Data Architect – Azure Data Explorer, IoT streaming (Freelance)
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Offer summary
(Summary generated by AI based on the full job description)
Project concerns an environmental monitoring platform for industry with a working IoT streaming PoC on Azure to be taken to production. Technologies used include Azure Data Explorer (Kusto), Event Hubs / IoT Hub, Azure Functions, Blob Storage, Python and Terraform. Responsibilities include taking over the PoC and delivering production pipeline, building the stream processor into ADX, designing cascade rollups and time-window aggregations (raw/Bronze → Silver → aggregates), implementing reprocessing, ADX table modelling and optimisation, and collaborating with PM, ADX specialist, client engineering and DevOps. Required experience covers 2–3 data pipeline projects delivered to production and KQL/ADX production experience for large data volumes. Offer includes remote work and flexible hours.
Senior Data Engineer / Data Architect – Azure Data Explorer, IoT streaming (Freelance)
Company: STARTUP DEVELOPMENT HOUSE sp. z o.o.
from: 22 October 2026
to: 21 November 2026
160 - 200 złnet (+ VAT)/ hr.B2B contract (additional / temporary, part time)
Salary details
basic salary
Offer parameters
level:senior
working mode:remote
Warszawa, Śródmieście
Requirements
Expected technologies
Azure Data Explorer
KQL
Python
Terraform
Optional technologies
PostgreSQL
PostGIS
TypeScript
NestJS
Our requirements
Must-have:
Experience:
Tech skills:
Soft skills:
Optional
Your responsibilities
- Take over the PoC and bring it to production – the data semantics are already defined, so you can focus on the pipeline.
- Build the stream processor from Event Hubs to Azure Data Explorer.
- Design and schedule the cascade of rollups and time-window aggregations (raw/Bronze → Silver → aggregates).
- Implement reprocessing of data after configuration changes.
- Model and optimise ADX tables, update policies, materialized views, retention policies and queries for large data volumes.
- Work closely with our PM, our ADX specialist, the client's engineering team and our DevOps.
About the project
We connect talented freelancers with cutting-edge projects, offering a platform for you to showcase your expertise and thrive in a collaborative environment.
Currently we are looking for a Senior Data Engineer with architect skills to join an environmental monitoring platform for industry. You'll take over a working proof of concept of a streaming IoT measurement pipeline on Azure and bring it to production – from edge devices, through the raw layer, to read-optimised data and rollups in Azure Data Explorer.
📍 Location: Remote/Warsaw Office
Start: November
This is how we organize our work
This is how we work
in houseyou have influence on the choice of tools and technologiesyou have influence on the technological solutions appliedyou have influence on the productagile
This is how we work on a project
- code review
- design patterns
- DDD
- event modeling
- DevOps
- documentation
- issue tracking tools
- functional tests
- integration tests
- regression tests
- testing environments
- unit tests
- manual tests
How to apply
Along with your CV, please send a short description of 2–3 data pipelines you took to production. For each one: your role, scope, stack, data scale, what went wrong and what you would do differently – plus a link or reference if possible.
Development opportunities we offer
- mentoring
- space for experimenting
- technical knowledge exchange within the company
- time for development of your ideas
Benefits
- remote work opportunities
- flexible working time
Recruitment stages
- 1.First call 🤙
- 2.Tech interview 👥
- 3.Offer
STARTUP DEVELOPMENT HOUSE sp. z o.o.
At Startup House we deliver end-to-end AI software for enterprises like Siemens, PwC and Toyota.
Senior Data Engineer / Data Architect – Azure Data Explorer, IoT streaming (Freelance)
160–200 zł / hr. (B2B)
I apply to:
STARTUP DEVELOPMENT HOUSE sp. z o.o.
Warszawa, Śródmieście
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.