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About the Role

Seeking a highly experienced Senior Data Engineer on a contract basis to join an expanding data team supporting leading iGaming and casino brands. This role offers the opportunity to make a direct impact on the organisation’s data platform and roadmap delivery by optimising and modernising the data ecosystem, improving performance across Snowflake, developing scalable ingestion and transformation pipelines, and driving the transition towards real-time data processing. You will work closely with data science, product, and operations teams in a fast-paced environment, leveraging AI tools to improve productivity.

Responsibilities

Manage and optimise Snowflake data warehouses.
Overhaul Snowflake warehouse performance through materialisation strategies, dynamic tables, and clustering optimisation.
Build scalable ETL/ELT pipelines using dbt, Airflow, Fivetran, and AWS DMS.
Build ingestion pipelines using DMS and Fivetran.
Develop modelling layers in dbt using medallion architecture principles.
Transform raw data into clean, reliable, and business-ready models using dbt and AI-assisted tooling for documentation and testing.
Integrate data from multiple sources, including CRM systems, payment platforms, gaming platforms, and other operational systems.
Own initiatives focused on data quality improvements and monitoring, including anomaly detection and automated alerting.
Monitor and optimise platform performance, cost efficiency, and security.
Work closely with cross-functional teams across product development, data, operations, and analytics functions.
Collaborate with the data science team and support colleagues with reporting and analytics activities when required.
Support the organisation’s move towards real-time data ingestion and ETL using technologies such as DMS, Kafka, and Kinesis.
Help mentor other engineers within the team.
Contribute to the team's AI strategy and promote effective use of AI tools across engineering workflows.
Produce and maintain clear, comprehensive documentation to support scalability, transparency, and long-term platform sustainability.
Communicate effectively with both technical and non-technical stakeholders and proactively raise blockers when encountered.

Requirements

7+ years in Data Engineering.
Solid hands-on experience with AWS.
Expertise in ELT design and data warehousing best practices.
Expertise in optimising Snowflake.
Expertise in dbt (macros, testing, modularisation).
Excellent SQL and Python skills.
Good CI/CD and Git skills.
Experience using AI coding assistants to work efficiently.

Skills

AWS
Snowflake
dbt
SQL
Python
CI/CD
Git
ETL
ELT
Airflow
Fivetran
AWS DMS
Medallion Architecture
AI-assisted tooling
Kafka
Kinesis
SageMaker
Bedrock
QuickSight

Work Type

Contract
Remote

Experience Level

Senior

Benefits

Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
No Weekend Work
Mentorship
Community
Forums where ideas are shared
Long-term career where contributions are valued

About the Company

At Smart Working, we believe your job should not only look right on paper but also feel right every day.
This isn't just another remote opportunity—it's about finding where you truly belong, no matter where you are.
From day one, you're welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles.
We help you discover meaningful work with teams that invest in your success, where you're empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.