Square One Resources Limited
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr