Executive Azure Data Engineer

Quick Facts

• Role: Executive Azure Data Engineer (Data & Cloud)

• Focus: Azure data platforms, Data Lakehouse/Warehouse, batch ELT and streaming pipelines, CI/CD automation, client requirement support

Description

You will design and deliver modern data platforms in Azure (Data Warehouse and Data Lakehouse), ensuring performance, scalability, and reliability. You will build and maintain batch ELT pipelines and integrations between cloud and on-prem systems, as well as streaming data flows. You’ll also automate deployments through CI/CD, support clients with requirement and data-source identification, analyze and manage data in warehouses and relational databases, and maintain project documentation.

Responsibilities

• Design Azure data platforms (Data Warehouse, Data Lakehouse)

• Build, maintain, and deploy batch data pipelines (ELT, cloud/on-prem integrations)

• Build, maintain, and deploy streaming data pipelines

• Automate deployments using CI/CD

• Support clients in analyzing requirements and identifying data sources

• Analyze and manage data in data warehouses and relational databases

• Advise on the best-fit solutions for client needs

• Collaborate with business owner, project manager, and domain experts

• Create and maintain project documentation

Requirements

• Minimum 4 years of experience delivering data engineering solutions in consulting or multi-company projects

• Very strong knowledge of Azure (Databricks, Fabric, Data Lake, Synapse Analytics, Data Factory, Logic Apps)

• Commercial experience implementing data platforms with Databricks or Synapse Analytics or Microsoft Fabric

• Very strong SQL and Python

• Experience designing tests for deployed analytics solutions

• Support and promote software engineering best practices in the team

• Client-facing experience for requirement identification/analysis and delivery

• Ability to prepare test results summaries, analyses, and documentation in Polish and English

• Higher education (preferred: Computer Science, quantitative methods, or related)

• Very strong English in speaking and writing

• Excellent communication skills; collaboration with technical and business stakeholders

• Knowledge of AI tools (e.g., Microsoft Copilot) and ability to use them for process improvement, data analysis, and task automation

Benefits

• Opportunity to work with market leaders in Poland and abroad

• Participation in implementation projects using the latest technologies and frameworks (data lakehouse, Azure, advanced analytics, Data Science)

• Attractive bonus system, access to e-learning platforms, budget for certificates and training

• Private medical care, additional insurance, and wellbeing program

• Mentoring program, referral program, and volunteer days

• Option to work remotely, hybrid, or from the office

Locations

Warsaw, Kraków, Katowice, Wrocław, Poznań, Gdańsk, Łódź