Senior Data Engineer

• Architect and build robust data systems and pipelines
• Analyse, organise, and prepare raw data for modelling and analytics
• Evaluate business needs and objectives
• Combine raw information from diverse sources
• Enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical reports using data science techniques

Data Engineering Expertise

• Strong data modelling and SQL/database design skills
• Proficiency in ETL/ELT processes
• Expert-level SQL and Python programming
• Understanding of different data modelling techniques (e.g Kimban, star and snowflake schemas etc)
• Data quality techniques
• Data normalisation

Cloud and Big Data Technologies

• Familiarity with cloud data warehouses (AWS, Azure, GCP, or Snowflake)

Additional Desirable Skills

• Experience designing and building Agentic AI systems using models such as Claude, OpenAI (GPT), or similar LLM frameworks
• Experience deploying AI solutions into production environments with scalability and reliability in mind
• Knowledge of CI/CD pipelines for deploying AI/ML or data products
• Experience using tools such as JIRA or Asana for project tracking and delivery
• Familiarity with data pipeline and integration tools (e.g. Airflow, Fivetran, Matillion, or similar)
• Comfortable working within Agile delivery environments

BI:PROCSI offers a unique work environment focused on innovation and personal growth. As a rapidly expanding company, we provide:

• A phenomenal company culture that values diversity and work-life balance
• Opportunities for continuous learning and career advancement
• Comprehensive benefits package, including Vitality Health and Nest Pension