Talenting Career Science

About the Company

Our founding principles are the importance of championing individuality and inclusion.

talenting's founder brings 24 years working for a global plc in STEM recruitment assisting start-ups and SMEs through to major FTSE100 companies.

We are committed to working with individuals to help them appreciate their unique capabilities and partnering them with organisations who recognise that diversity brings real value to their organisation.

Our career-science approach is at the core of talenting. We will work closely with you, meeting with you, asking the right questions and then combine the latest AI toolsets with human thinking. This helps us explore your known and hidden abilities and coach you to do the best in your career search.

talenting understands the benefits of a neurodivergent workforce, and champions neurodiversity in the workplace.

As a client of talenting we will partner with you and use many of the same career-science techniques to understand the role you are looking to recruit into, plus the type of individual and personality that will be of greatest value to you now and into the future.

We will work with you to explore the types of individuals who could be successful in the role. We will help you design the best interview and selection process for each role. We champion individuality and diversity and believe that a "one process for all" recruitment adopted by some organisations may exclude a significant proportion of potential employees.

Listed Jobs

Company Name

Talenting Career Science

Job Title

Snowflake Platform Engineer

Job Description

Job title: Snowflake Platform Engineer Role Summary: Contract (9‑12 months) role focused on designing, developing, and maintaining end‑to‑end data pipelines that bridge on‑prem Oracle systems with Snowflake cloud data warehouse. The engineer will use SQL, Python, dbt, and orchestration tools to ensure scalable, reliable, and secure data flows. Expectations: Own the full data pipeline lifecycle; produce clean, maintainable code; deliver on reliability, security, and performance targets; collaborate with engineering and business stakeholders to translate requirements into technical solutions; quickly prototype and iterate on data architectures. Key Responsibilities: - Design and implement data ingestion, transformation, and loading pipelines between Oracle and Snowflake. - Write efficient SQL queries and Python scripts for data extraction, cleansing, and enrichment. - Utilize dbt for modular, versioned transformations and testing. - Configure and maintain orchestration of pipelines (e.g., Airflow, Prefect, or Snowflake Tasks). - Monitor pipeline health, troubleshoot failures, and optimize performance. - Document architecture, code, and operational procedures for knowledge transfer. - Ensure data security, governance, and compliance across the pipeline. Required Skills: - Strong expertise in Snowflake (data modeling, performance tuning, security). - Advanced SQL proficiency; experience writing complex queries. - Python programming for data workflows (pandas, airflow, etc.). - Familiarity with dbt for data transformation and testing. - On‑prem Oracle experience is highly desirable. - Knowledge of modern orchestration and workflow tools. - Ability to work independently and translate business requirements into technical deliverables. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. - Snowflake Certified Data Engineer or equivalent certification preferred.

United kingdom

Remote

02-02-2026