Senior Azure Data Engineer @ Cloudtech Consulting Sp. z o.o.

Cloudtech Consulting Sp. z o.o.; Polska; Remote; PLN 295,000 - 381,000; Full time

Job summary

A tech consulting firm is seeking an experienced Senior Azure Data Engineer to enhance data pipelines in a remote capacity from Central/East Europe. The ideal candidate should have over 5 years of experience in Data Engineering, particularly with Azure services and Python. Responsibilities include maintaining Azure infrastructure and developing data pipelines for AI-driven solutions.

Qualifications

• 5+ years in Data Engineering or DevOps roles.
• Experience designing and managing cloud-native data platforms.
• Proven track record in query optimization for high-performance data systems.

Responsibilities

• Maintain Azure cloud infrastructure.
• Design and optimize Big Data databases.
• Develop and maintain data pipeline projects with Python.

Skills

Azure Functions

Microsoft Fabric

Python

SQL

Computer Vision

Docker

Kubernetes

REST APIs

Analytics dashboards

Tools

Terraform

Power BI

Azure Monitor

Prometheus

Grafana

Job description

Senior Azure Data Engineer @ Cloudtech Consulting Sp. z o.o.

Poland (Remote – we only consider candidates from Central/East Europe, preferably Poland or Romania.)

About The Role:

We are seeking a talented and experienced Azure Data Engineer to support and advance data pipelines for our mobile‑first solution. You will work with a modern, diverse tech stack in a fast‑paced startup environment, contributing to AI and computer‑vision driven shelf‑intelligence solutions.

Responsibilities:

• Maintain server and database Azure cloud infrastructure:
  • Azure Functions
  • Microsoft Fabric
  • Azure SQL
  • PostgreSQL
• Design, optimize, and query Big Data databases/warehouses/lakes.
• Develop, improve, and maintain data pipeline projects:
  • Python
  • FastAPI (back‑end API development)
  • Computer Vision (OpenCV, PyTorch, etc.)
  • SQL
• Build and maintain integrations with other parts of the ecosystem:
  • REST APIs
  • Continuous Integration/Deployment
  • Analytics dashboards
  • Automatic reporting and monitoring (Azure Monitor, Prometheus, Grafana)
• Ensure our systems are secure, fast, and highly available.
• Work with business requirements to provide insightful analytics, reports, and automations.

Nice to have:

• Experience with visual data and image‑processing tools.
• Machine learning model integration experience.
• Hands‑on experience coding mid‑size/large projects in Python.
• Infrastructure as Code (IaC) – Terraform, Bicep, ARM templates.
• Containerization (Docker, Kubernetes, Azure Kubernetes Service).
• Experience with BI/analytics/reporting – Power BI integration.

Proven expertise:

• 5+ years in a hybrid Data Engineering, DevOps, or SRE role, with a proven track record of designing and managing cloud‑native data platforms.
• Built and deployed at least one data pipeline in Fabric that processed ≥100 GB of data.
• Orchestrated end‑to‑end ETL/ELT workflows using Python, SQL, and Azure services (Data Factory, Synapse, or Fabric).
• Proven track record in query optimization, indexing, and partitioning for high‑performance data systems (PostgreSQL, Azure SQL, SQL Server).
• Experience handling large datasets (hundreds of millions of records) and optimizing storage/performance trade‑offs in cloud environments.
• Integrated multiple data sources into Power BI to deliver self‑service analytics and interactive dashboards.

About Omnishelf:

Omnishelf empowers small‑format retailers with real‑time shelf intelligence through AI and computer‑vision platforms. Store teams use mobile devices to instantly scan shelves, detect out‑of‑stocks, improve planogram compliance, and boost sales. Our unique edge‑computing approach processes all data offline directly on the device for fast, reliable shop‑automation and actionable insights for retailers underserved by complex technology.