Data Analytics Engineer

About the role

As a Data Analytics Engineer you will design and build scalable data assets and analytical solutions that empower data‑driven decision‑making across the Business Intelligence team. You will work with modern cloud technologies, AI‑assisted tools, and collaborate closely with business stakeholders to turn requirements into reliable data products.

Key responsibilities

• Design, build, and maintain analytical data models and semantic cubes (e.g., Azure Analysis Services).
• Develop scalable data pipelines on Databricks using Python and Spark to transform raw data into trusted assets.
• Manage end‑to‑end data assets from ingestion to curated datasets ready for BI consumption.
• Ensure data quality, consistency, and performance optimization across analytics solutions.
• Collaborate with analysts, data teams, and business partners to translate requirements into scalable solutions.
• Contribute to modern analytics architecture, best practices, and reusable frameworks.
• Leverage AI‑powered tools such as Copilot, Genie, and LLM‑based solutions to improve development efficiency.
• Continuously explore new technologies and drive improvements within the data landscape.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3–5 years of experience in data engineering or analytics engineering.
• Strong hands‑on experience with Python, PySpark, Databricks, and SQL.
• Experience building and maintaining analytical models or semantic layers (cubes, tabular models, Power BI models).
• Familiarity with Spark‑based processing frameworks and dimensional data modeling.
• Experience with Git and collaborative development workflows; CI/CD knowledge is a plus.
• Interest or experience in AI‑driven development (GenAI, copilots, automation tools).

Required skills

• Python
• PySpark
• Databricks
• SQL
• Azure Analysis Services
• Power BI
• Apache Spark
• Git
• CI/CD (preferred)
• Dimensional data modeling

What we offer

• Flexible work scheme with hybrid model and up to 30 days per year of work‑from‑anywhere.
• Diverse national and international growth opportunities.
• Global wellbeing programs, comprehensive health insurance for employees and dependents.
• Gender‑neutral parental leave (minimum 8 weeks).
• Employee Share Plan with voluntary investment and company matching.
• Employee Assistance Programme covering mental health and wellbeing.