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Data Engineer (Snowflake)

Strativ Group | Sweden | Salary not specified

Source: JobsPipe

Required Skills

data-engineeringpythonsqlawsazurecommunication

Role snapshot

Work model
Hybrid
Language
Not specified
Experience
Not specified
Posted
Posted today
Application deadline
2026-10-24

What you'll do

Snowflake Data Engineer / Snowflake Architect – Contract Location: Sweden (Hybrid / Remote) Contract: Freelance / Contract Duration: 6–12 months (extensions likely) Start Date: ASAP / Flexible We're looking for an experienced Snowflake Data Engineer or Snowflake Architect to join a major data transformation project with a client based in Sweden. You'll play a key role in designing, building and optimising a modern cloud data platform, working alongside experienced Data Engineers, Architects and business stakeholders. This is an excellent opportunity for a hands-on Snowflake specialist who enjoys solving complex data challenges and delivering scalable solutions. Key Responsibilities

  • Design, develop and optimise scalable data pipelines and architectures using Snowflake.
  • Build robust ETL/ELT processes and integrate data from multiple sources.
  • Lead Snowflake platform design, performance tuning and cost optimisation.
  • Work with Python, SQL and modern data transformation tools such as dbt.
  • Implement data modelling, governance and security best practices.
  • Collaborate with engineering teams and stakeholders on wider cloud data transformation initiatives.

What We're Looking For

  • 5+ years' experience in Data Engineering or Data Architecture.
  • Strong hands-on Snowflake expertise, including platform design and optimisation.
  • Advanced SQL and Python skills.
  • Experience with dbt, Airflow or similar orchestration tools.
  • Knowledge of AWS, Azure or GCP environments.
  • Experience designing modern data warehouses and scalable data platforms.
  • Strong communication skills and ability to work independently.

Desirable: SnowPro certification, experience with Data Vault or dimensional modelling, and previous enterprise transformation projects.

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