Senior Data Engineer

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

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