Overview
Transformative Data Engineer
Job Summary
We're building a pioneering AI platform that delivers hyper-personalized customer experiences at scale. Processing vast amounts of data daily, we utilize cutting-edge machine learning and large language models to power intelligent recommendations, contextual content, and real-time decisioning, driving significant revenue growth for our partners.
Responsibilities
- Design and develop scalable, high-performance data pipelines and APIs.
- Implement real-time streaming architectures for intelligent, low-latency AI decisions.
- Collaborate with data scientists and ML engineers to productionize models and agents.
- Maintain data quality, monitoring systems, and alerting infrastructure.
- Influence architecture, tooling, and engineering culture from day one.
- Contribute to a multidisciplinary team working across data, engineering, and product.
Impact
Designing AI-native data infrastructure to support rapid scale.Ensuring real-time data feeds power smart, responsive AI systems.Establishing strong engineering and monitoring standards.Helping shape a high-performance culture and stack.Requirements (Must-Have)
3 years in data / software engineering.Strong SQL & Python skills; solid grasp of OOP and Git best practices.Cloud experience (GCP or AWS).Proficiency in Apache Spark or PySpark.Real-time systems (Pub / Sub, Kinesis) and containerization (Docker, Kubernetes).Monitoring tools (e.g., Grafana, Prometheus, Datadog).Bonus
Familiarity with embeddings, vector DBs, graph databases.Orchestration tools (Airflow, Dagster, Prefect).Startup or consulting background.Competencies
Honesty and integrity.Integrity and ownership mindset.Curious and driven to learn fast.Team player who thrives in ambiguity.Passion for building things that matter.Fast and keen learner.Location : Gibraltar office, flexible role, but not fully remote. In-person presence required on average once per week.
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