Data Engineer

Stott and May

London, England

7 months ago

Applications closed

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Data Engineer role at Stott and May

Job Description

Data Engineer

Start: ASAP

Duration: 3-6 months

Location: Manchester (3 days per week)

Pay: up to £345/day (inside IR35)

We’re looking for an experienced Data Engineer with deep expertise in DBT, Snowflake, and PL/SQL to join our growing data team on a contract basis. This role will be instrumental in designing, building, and maintaining high-quality data transformation pipelines that support business intelligence, analytics, and data science across the organisation.

Responsibilities

Design and implement scalable data models and transformation pipelines using DBT on Snowflake
Develop efficient and maintainable PL/SQL code for complex data processing and transformations
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions
Optimise Snowflake performance through query tuning, clustering, and resource management
Uphold data quality and integrity through rigorous testing, documentation, and monitoring
Participate in code reviews, architecture planning, and continuous improvement efforts
Maintain and improve CI/CD pipelines for DBT projects

Required Skills & Experience

5+ years' experience in data engineering or a related role
Proven hands-on experience with DBT (modular SQL development, testing, documentation)
Strong expertise in Snowflake (data warehousing, performance tuning, security)
Advanced knowledge of PL/SQL, including stored procedures, functions, and packages
Solid understanding of data modelling concepts (e.g. star/snowflake schemas, normalisation)
Experience with version control tools (e.g. Git) and CI/CD best practices
Familiarity with orchestration tools such as Airflow, dbt Cloud, or Prefect is a plus

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Staffing and Recruiting

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