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Snowflake Data Engineer

Job in Brighton, BN2, England, UK
Listing for: Graduate Career Solutions
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Job Description & How to Apply Below
Location: Brighton

Graduate Career Solutions provided pay range

This range is provided by Graduate Career Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Graduate Career Solutions

Snowflake Data Engineer

Location: Brighton, East Sussex (Hybrid / Remote possible)

Job Type: Permanent, Full-time

About the Role

We are looking for a talented Snowflake Data Engineer to join our growing data team based in Brighton. You’ll play a key role in enhancing our data platform, automating data workflows and enabling data-driven decision-making across the business.

This role is ideal for someone who enjoys working with modern cloud data platforms, has excellent SQL skills, and is keen to build scalable data pipelines and data models.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines using Snowflake.
  • Administer, optimise and support the Snowflake data platform for performance and cost efficiency.
  • Ingest, transform, and integrate data from multiple sources (e.g., GA4, internal systems). Develop and maintain data models to support analytics, reporting and business use cases.
  • Ensure high data quality, monitoring, testing and documentation of pipelines and models.
  • Collaborate with BI, analytics and engineering teams to ensure data meets business needs.
  • Support data governance, security, compliance and best practices in data engineering.

Required Skills & Experience

  • Hands‑on experience in Snowflake data warehouse development and optimisation.
  • Strong SQL skills for querying, transformation and performance tuning.
  • Experience building and managing ETL/ELT pipelines
    .
  • Proficiency with at least one scripting/programming language (e.g., Python).
  • Familiarity with modern data engineering tools like dbt, Airflow, Prefect, or similar.
  • Knowledge of cloud platforms (AWS / Azure / GCP).
  • Understanding of data modelling, quality controls and best practices.

Qualifications

  • Degree in Computer Science, Data Engineering, IT or a related field (or equivalent experience).
  • Snowflake certifications or relevant cloud/data engineering certifications are advantageous.

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