Azure Data Engineer with Databricks (AI&Data)

Nasze wymagania:

• Hands‑on experience with implementing solutions with data lakes and pipelines (Databricks, Azure Data Factory).
• Proven experience in designing and implementing solutions in Azure cloud (knowledge of AWS, GCP will be an additional advantage).
• Proficiency in SQL, PySpark, data modeling (3NF, star/snowflake schemas) and ELT/ETL design patterns (including Azure Data Factory).
• Experience with Python or similar scripting languages for data transformation, orchestration, and automation.
• Familiarity with advanced Databricks features (Unity Catalog, MLflow, Jobs & Pipelines).
• Understanding of cloud data architecture principles including data Lakehouse concepts, Medallion architecture, API integration, and event‑driven architecture.
• Experience with CI/CD and DevOps practices for data workflows (Git, Azure DevOps) and analytics integration (e.g., Power BI).
• Excellent communication and client‑facing skills with the ability to explain technical concepts clearly.
• Strong collaboration skills across multidisciplinary teams.

Mile widziane:

• Knowledge of modern data stack tools (e.g., dbt, Power BI, Tableau, Looker).
• Experience with infrastructure‑as‑code tools (e.g., Databricks Asset Bundles, Terraform, ARM templates).
• Experience with cost optimization and FinOps principles for cloud data solutions.
• Familiarity with machine learning or GenAI integration — operationalizing AI/ML models or leveraging LLMs within Databricks/Azure.
• Databricks Associate or Professional certifications.
• Microsoft Certifications in the areas of Microsoft Fabric and Azure.

Zakres obowiązków:

• Develop and implement scalable data processing solutions on Azure, transforming and cleaning large structured and unstructured datasets efficiently.
• Design, build, and maintain robust data pipelines integrating data from diverse sources (databases, APIs, streaming platforms).
• Collaborate with cross‑functional teams including data engineers, data scientists, and cloud architects to deliver end‑to‑end data platform solutions.
• Engage at all critical stages of project development with business analysts, source system experts, data architects, engineers, and product owners.
• Clearly communicate and document technical work, factoring in performance and cost considerations in all design decisions

Oferujemy:

• A permanent employment contract.
• Individual support of a People Lead and a defined path for professional development, with the possibility of coaching sessions.
• A wide training package (soft, technical, language training; access to e‑learning platforms; Gallup test; GenAI training; possibility of co‑financing certifications).
• Employee Assistance Program – legal, financial, and psychological consultations.
• Eligibility for the Employee Share Purchase Plan and quarterly dividends if owning company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the Worksmile platform, including Multisport and a broad portfolio of benefits.