Expert Data Engineer

Quick Facts

• Role: Expert Data Engineer

• Focus: Power BI analytics solutions and Azure-based ETL/data platform engineering

Description

You will work in a cross-functional development team to engineer end-to-end data and analytics experiences. Responsibilities include designing, developing, and deploying Power BI solutions (data models, reports, dashboards) and optimizing query and model performance. You will also manage data ingestion and build complex ETL pipelines with a strong Azure stack, including Azure Synapse notebooks and ADLS/Parquet optimization.

Responsibilities

• Design, develop, and deploy Power BI solutions to deliver business insights

• Implement and optimize data models for performance and faster queries

• Optimize Power BI reports and dashboards by improving SQL/DAX query efficiency

• Build and maintain data ingestion and ETL pipelines for real-time and batch processing across multiple data storages

• Tune SQL and DAX performance for complex queries

• Develop, execute, and maintain Azure Synapse notebook-based data processing workflows

• Manage and optimize Azure Data Lake Storage (ADLS), including Parquet partitioning and compression

• Identify platform gaps and improve quality, robustness, maintainability, and speed

• Cross-train teammates and continuously learn new technologies

Requirements

• 3+ years experience in developing BI solutions with Power BI

• Proficient in Power BI Desktop and Power BI Service (report/dashboard creation, transformations, DAX)

• Strong DAX knowledge for complex calculations

• Experience with Power Query for data transformations and ETL

• Solid understanding of data modeling principles and best practices

• 3+ years coding in SQL (Azure SQL DB or MSSQL preferred) with strong fundamentals

• Proven hands-on experience building and optimizing complex ETL pipelines

• Strong ADLS experience and deep knowledge of Parquet optimization (e.g., partitioning, compression)

• Demonstrated experience writing and optimizing code in Azure Synapse notebooks

• 2+ years contributing to production deployments of backend data processing/analysis systems

• Experience in data integration and ETL processes

• Proficient with Azure Data Services (Azure Data Factory, Azure Synapse Analytics, etc.)

• Strong problem-solving and analytical skills; attention to detail

• Excellent communication skills to present complex data clearly

• Experience working with cross-functional teams and stakeholders

• Knowledge of professional software engineering best practices (standards, code reviews, source control, build/test/ops)

• Agile experience (e.g., SCRUM)

• Experience designing and defending designs for components in distributed computing systems

• Consistent record delivering high-quality software on large, complex projects

• Ability to learn new technologies quickly and independently

• Ability to handle multiple competing priorities in a fast-paced environment

Benefits

• Strong community and growth focus with large-scale, global-impact projects

• Tailored learning: internal events, Udemy access, language courses, company-paid certifications

• Endless opportunities via internal mobility across diverse domains

• Full remote working possibilities

• Company-paid premium medical package through Luxmed

• MyBenefit cafeteria platform to choose perks