Must have

• Data engineering

• Snowflake

• Python

• SQL

• Data Lake

• English

Nice to have

• Security

• ETL

• dbt

• Data build tool

Requirements description

What You Bring?

We’re looking for experienced data engineers ready to take ownership and elevate enterprise-level data systems:

• 4+ years in data engineering and cloud data platforms
• Proven expertise with Snowflake, Python, and SQL
• Experience with data lakes, batch/stream processing, and cloud-native architectures
• Strong understanding of data governance, access control, and security best practices
• Ability to build and automate scalable ETL/ELT pipelines with performance in mind

Nice to Have:

• Familiarity with DBT (Data Build Tool)

Offer description

We’re seeking an experienced Senior Data Engineers with deep expertise in Snowflake and cloud-based data engineering to join our growing team of consultants.

Role Overview

In this role, you’ll design and develop modern data solutions that fuel analytics, reporting, and operational efficiency. You'll own end-to-end data workflows from ingestion to transformation, with a focus on automation, security, and performance within the Snowflake ecosystem and AWS cloud.

Why Join Us?

• Remote or hybrid flexibility — your call
• Collaborative international teams and global projects
• Long-term B2B contracts that support your professional growth
• Supportive, tech-forward culture that values quality and creativity

Your responsibilities

1. Building and optimizing ETL/ELT pipelines using Python, SQL, and Snowflake
2. Implementing data modelling best practices, partitioning, and performance tuning in Snowflake
3. Ensuring data quality, governance, and security with row-level security, masking, and audit controls
4. Automating workflows with Airflow, Prefect, or similar orchestration tools
5. Collaborating with architects, engineers, and business stakeholders to design scalable data solutions
6. Integrating cloud services and managing data flows within AWS and Snowflake

show all (7)