Senior Data Engineer

Square One Resources Limited; Remote; USD 100,000 - 140,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer with expertise in Snowflake and cloud data engineering to join their team. The role involves designing and developing data solutions, building ETL/ELT pipelines, and ensuring data quality and security. The company offers remote flexibility, a collaborative culture, and opportunities for professional growth.

Benefits

Remote or hybrid flexibility

Collaborative international teams

Long-term B2B contracts

Supportive culture valuing quality and creativity

Qualifications

• 4+ years in data engineering with expertise in Snowflake, Python, and SQL.
• Experience with cloud data platforms and data governance.
• Strong in ETL/ELT pipeline building and automation.

Responsibilities

• Design and develop data solutions for analytics and operations.
• Build and optimize ETL/ELT pipelines using Python, SQL, and Snowflake.
• Ensure data quality, governance, and security.

Skills

Data governance

Automation

Data quality

Cloud-native architectures

ETL/ELT pipelines

Data modeling best practices

Security best practices

Tools

Snowflake

Python

SQL

Airflow

Prefect

DBT (Data Build Tool)

Job 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.

Your responsibilities will include:

• Building and optimizing ETL/ELT pipelines using Python, SQL, and Snowflake
• Implementing data modelling best practices, partitioning, and performance tuning in Snowflake
• Ensuring data quality, governance, and security with row-level security, masking, and audit controls
• Automating workflows with Airflow, Prefect, or similar orchestration tools
• Collaborating with architects, engineers, and business stakeholders to design scalable data solutions
• Integrating cloud services and managing data flows within AWS and Snowflake
• Maintaining a high standard of data integrity, availability, and accessibility

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)

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