We are seeking a Mid/Senior Data Engineer to design, build, and optimize scalable data solutions that support business intelligence, analytics, and strategic decision-making. This is a hands-on role focused on developing modern data pipelines, data warehouses, and Power BI solutions while ensuring data quality, performance, and reliability.

Working closely with business and technical teams, you will translate business requirements into robust data solutions and contribute to the ongoing evolution of the organization's data platform and architecture.

Requirements

Key Responsibilities and Skills

Technical
Solution Development

• 
  Translate
  business requirements into technical data solutions.
• 
  Participate
  in and contribute to architectural forums within the Business Intelligence (BI)
  team.
• 
  Design
  and implement ETL/data pipeline architectures using tools like ADF (Azure data
  factory).
• 
  Automate
  processes and design system architectures.
• 
  Develop
  and manage Power BI semantic models, including understanding DAX queries and
  cubes.
• 
  Visualisation
  and Dashboarding: translate metrics into visual Power BI reports
• 
  Integrate
  data between legacy and modern systems.
• 
  Create
  ad-hoc SQL scripts to support user queries.
• 
  ​
  Deploy
  and manage data solutions on cloud platforms like Azure.

Data Modeling and Management

• 
  Understanding of Data Warehouse
  modeling and Techniques: Data schemas, Facts, dimensions and building data
  warehouses.
• 
  Writing complex SQL queries,
  joins, views and stored procedures to extract and manipulate data.
• 
  Apply knowledge and practical
  experience in the Data Warehouse Life Cycle.
• 
  Perform data modeling including
  dimensional, multi-dimensional, and relational models.
• 
  Utilize TSQL for database
  management and querying.
• 
  Support batch processing and
  scheduling tasks.

Documentation
and Support

• 
  Create and maintain technical
  documentation such as data architecture diagrams, ETL workflows, and
  system documentation to ensure maintainability.
• 
  Participate in design, peer,
  and code reviews.
• 
  Provide daily technical,
  functional, and operational support for existing BI solutions.

Monitoring
and Optimization

• 
  Monitor data pipeline and
  infrastructure performance.
• 
  Identify bottlenecks and
  optimize for scalability, reliability, and cost-efficiency.
• 
  Troubleshoot and resolve
  data-related issues.

Strategic
and Emerging Technology Contributions

• 
  Contribute to evolving the
  architecture towards modern platforms, whether on-premise or cloud-based.
• 
  Maintain working knowledge of
  Power BI reporting.
• 
  Ensure technical skills stay
  relevant to emerging industry trends and organizational strategies,
  including Azure Cloud Solutions and Artificial Intelligence initiatives.