Axom Gaming
Data Engineer
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Senior Data Engineer – Real-Time Decision Engine
About Ibex.ai
Ibex.ai is a fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform combines:
- Advanced machine learning
- Deep learning
- Reinforcement optimisation to deliver personalised decisions at scale
Built on large, fast-moving behavioural datasets, our system makes millions of personalised decisions per day autonomously—driving provable commercial uplift without reliance on manual testing or experiments.
Ibex moves quick, with minimal bureaucracy and a highly technically technical team. You’ll collaborate on solving real-world optimisation challenges for real businesses.
Our usefulness isn’t limited to sectors—though online casinos are currently a core focus—we’re expanding into broader personalisation platforms across industries.
Based in London, team operates hybrid (on-site 3 days/week).
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The Role
You’ll design, build, and maintain the data pipelines that power our products and data science workflows.
Key Responsibilities
- Build scalable, reliable ETL pipelines from diverse data sources
- Work closely with data scientists to productionise models and analytics workflows
- Help architect && maintain our data infrastructure to support new products and use cases
- Monitor, troubleshoot and improve data quality, performance, and reliability
- Drive engineering best practices (testing, code review, documentation, scalable design)
This role offers hands-on ownership with opportunities to shape data engineering at Ibex.
Requirements
Must Highlight Experience
✅ Proven expertise in:
- Building scalable ETL pipelines and data workflows
- Advanced Python (production-grade optimised data processing code)
- Efficient pandas usage (transformations, joins, aggregations, big data handling)
- Strong Microsoft SQL Server expertise
- Git experience in teams
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✅ Cloud & Production Tools
- Hands-on experience with at least one major cloud provider (e.g. Azure, AWS)
- AI coding assistance experience (e.g., GitHub Copilot, Claude, Cursor) for developing production-ready code
Bonus Nice-to-Haves
✔ Familiarity with DevOps tools (Apache Airflow, Dagster, Jenkins) ✔ Data visualisation tools (Tableau, Power BI) ✔ Big data processing (e.g., PySpark) ✔ Real-time/streaming data (e.g., Kafka, RabbitMQ) ✔ Containers & orchestration (e.g., Docker) ✔ Cloud data lakes (e.g., Azure Synapse, Snowflake)
If You’re Passionate
We love curiosity more than checkboxes—apply anyway if you’re excited about the role!
Salary
£50,000 – £60,000 (dependent on experience)
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