As a Data Engineer, you’ll architect and maintain the pipelines that power our products and services. You’ll work at the intersection of ML, media processing, and infrastructure; owning the data tooling and automation layer that enables scalable, high-quality training and inference. If you’re a developer who loves solving tough problems and building efficient systems, we want you on our team.
Key Responsibilities
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Design and maintain scalable pipelines for ingesting, processing, and validating datasets with main focus visual and voice data.
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Work with other teams to identify workflow optimisation potential, design and develop automation tools, using AI-driven tools and custom model integrations and scripts.
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Write and maintain tests for pipeline reliability.
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Build and maintain observability tooling in collaboration with other engineers to track data pipeline health and system performance.
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Collaborate with data scientists, operators, and product teams to deliver data solutions.
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Debug and resolve complex data issues to ensure system performance.
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Optimise storage, retrieval, and caching strategies for large media assets across environments.
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Deploy scalable data infrastructure using cloud platforms as well as on-premise and containerization.
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Deepen your knowledge of machine learning workflows to support AI projects.
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Stay current with industry trends and integrate modern tools into our stack.
Must Haves
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3+ years in data engineering or related backend/infrastructure role.
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Strong programming skills in Python or similar languages.
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Experience with software development lifecycle (SDLC) and CI/CD pipelines.
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Proven experience building and testing data pipelines in production.
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Proficiency in Linux.
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Solid SQL knowledge.
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Experience with Docker or other containerisation technologies.
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Proactive approach to solving complex technical challenges.
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Passion for system optimisation and continuous learning.
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Ability to adapt solutions for multimedia data workflows.
Nice to Have
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Experience with Kubernetes (k8s).
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Knowledge of machine learning or AI concepts.
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Familiarity with ETL tools or big data frameworks.
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Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
About You
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Innovative
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Like challenges
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Adaptable
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Calm under pressure
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Strong communication abilities
