BI:PROCSI is a customer-focused, data-driven, highly experienced, and dedicated team of consultants delivering world-class solutions. We form strong partnerships with our customers across all sectors, ranging from high-profile start-ups to FTSE100 businesses, delivering impactful and business-critical data projects.
We leverage advanced AI and ML technologies to build products that help our customers optimise value from data. Our goal is to understand our clients' objectives and work with them to evaluate, develop, and deploy end-to-end data solutions across Business Intelligence, Analytics, Data Warehousing, Data Science, ETL/ELT, and more.
Our team of subject matter experts provides guidance throughout the entire data journey by collaborating closely with your existing teams. With PRINCE2 and Agile-certified project management, certified training, and enablement sessions, we ensure you have full control of a data solution that delivers tangible value to your business.
Permanent
Location Mostly Remote, with a requirement to work from London once every two weeks
Must have a Right to Work in the UK
Overview
As a Senior Data Engineer at BI:PROCSI, you'll play a crucial role in storing, processing, modelling, and applying data science to make data and insights available for analytics and business intelligence (BI) systems. This position offers a unique opportunity to work with cutting-edge products and world-class clients in a remote-first environment.
Key Responsibilities
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
Required Skills
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)
Experience integrating with AI/ML and generative AI platforms such as Azure OpenAI, Google Vertex AI, Amazon Bedrock, or similar
Ability to work with cloud-native AI APIs for text, embeddings, and model inference
MLOps
Proficiency in MLOps practices, including model deployment, monitoring, and management
Familiarity with tools and frameworks for MLOps, such as MLflow or similar
Additional Desirable Skills
CI/CD knowledge
Experience with JIRA/Asana for project management
Familiarity with Airflow, Fivetran, Matillion, or other ETL/ELT tools
Agile working methodology
Why Choose BI:PROCSI?
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, Perkbox, and Nest Pension
Join our team of passionate innovators and contribute to our mission of being the benchmark for excellence and quality of service in everything we do.
