Data Engineer (Data Modelling and C# Skills)

Requirements

• Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here
• You are someone who is a code-savvy and data-oriented professional, capable of writing optimized, production-quality code with strong object-oriented design knowledge, possessing a good practical spirit for troubleshooting, and demonstrating excellent teamwork and communication skills
• 3+ years of experience in software development or data engineering in cloud-based environments
• Strong programming skills in C# and Python, with a solid grasp of OOP principles
• Proficiency in data transformation and processing tools (e.g. PySpark, dbt)
• Previous experience with reporting tools (e.g. Power BI)
• Knowledge of Azure Data Factory (ADF)
• Experience designing scalable and robust data platforms
• Familiarity with data modeling techniques (e.g. star schema, data vault)
• Experience with distributed data systems and Database optimization
• Comfortable working with distributed data stores and SQL Server
• Experience in ETL processes and orchestration tools
• A passion for continuous learning, mentoring, and solving complex problems
• Excellent communication skills in English

What the job involves

• Our Engineering team lies at the core of the value we offer to our customers
• We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization
• We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms
• Our tech stack includes .

  NET Core (C#), Python, MS SQL Server, Spark, Azure Data Factory , Databricks, Good

  Data ,terraform and more
• We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both batch and real-time processing
• You’ll develop and maintain scalable data models and data access layer frameworks that serve as the foundation for centralized databases and downstream applications
• Build and optimize ETL pipelines to ingest, transform, and integrate various data sources, ensuring data consistency, quality, and availability, leveraging Apache Spark, .NET libraries, Azure Data Factory, DBT
• Contribute to Agile development processes by participating in sprint planning, stand-ups, and retrospectives to ensure continuous delivery and alignment with team goals
• Collaborate closely with the product team to translate roadmap priorities into technical designs and deliverables that meet business and customer needs
• Work hand-in-hand with Data Scientists, Engineers to create and enhance frameworks that simplify customer data integration and support advanced analytics
• Participate in code reviews, deployment processes, and monitoring to ensure high-quality production releases and smooth operation of data pipelines and frameworks