Senior Data Engineer

Навыки

• dbt
• DWH
• ETL / ELT
• Machine Learning
• Мониторинг и observability
• Python
• SQL

Задачи

• We are seeking a Senior Data Engineer to join our team and help shape the future of our data platform
• This role focuses on data warehousing, scalable data product development, and architectural design, transforming complex data models into reliable and scalable data products that power decision-making across the organisation
• You will play a key role in the redesign and evolution of our data warehouse, helping build a modern platform that supports advanced analytics and lays the foundation for AI and machine learning initiatives
• This includes designing scalable data models, improving legacy data solutions, and ensuring high-quality, well-governed datasets that can be reliably used across the business
• As a senior member of the Data Engineering team, you will contribute to platform architecture, data product thinking, and engineering best practices, helping build a world-class scalable Data Platform that enables both analytics and future AI capabilities
• YOUR MAIN
• WILL INCLUDE
• Designing and evolving the architecture of our data warehouse and data platform
• Transforming complex data models into scalable, production-ready data products
• Building, maintaining, and improving data models for large and complex datasets
• Designing and optimising ETL/ELT pipelines to support scalable analytics and data products
• Establishing reliable, well-governed datasets that serve as a foundation for analytics and AI/ML use cases
• Improving data reliability, quality, and observability across key datasets
• Collaborating with stakeholders to define and deliver high-impact data products
• Driving automation and improvements across a legacy ETL ecosystem (~1500 pipelines)
• Contributing to engineering standards, documentation, and best practices within the data engineering team
• Staying informed about modern data platform technologies and industry best practices, contributing ideas that help evolve our data stack and engineering practices
• Your Story
• Strong SQL expertise, particularly in complex analytical and warehouse queries
• Strong experience with data warehousing, dimensional modelling, and data architecture
• Experience designing and delivering scalable data products
• Experience with ETL/ELT tooling (DBT, SSIS, Wherescape, or similar)
• Strong understanding of data pipeline architecture and distributed data systems
• Proficiency in Python or a similar programming language

Требования

• 5+ years experience in Data Engineering, Analytics Engineering, or Data Platform Engineering

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