Lead Data Engineer, Contract, Full-Time

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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Smart Working

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

📋 Description

• Architect and build scalable data pipelines and infrastructure supporting AI and product systems • Design and maintain data ingestion, transformation and storage architectures for operational and AI workloads • Develop and manage batch and real-time data pipelines • Build and optimise vector search, retrieval and machine learning data pipeline systems • Ensure data reliability, security and governance across the platform • Collaborate with AI and backend engineering teams on training, inference and product features • Implement monitoring, observability and data quality frameworks • Optimise large-scale dataset and query-system performance • Contribute to technical architecture decisions and long-term data strategy • Define culture, standards and hiring bar as the founding data hire • Partner with founders and product leadership to translate data capabilities into product decisions • Build and lead data infrastructure for an AI assistant automating operational workloads for property managers, letting agents and build-to-rent teams

🎯 Requirements

• 7+ years of professional experience, with the majority of that experience in dedicated data engineering roles • Strong experience designing and building data pipelines and distributed data systems • Experience with relational databases, with PostgreSQL preferred; MySQL or similar acceptable • Experience with NoSQL databases • Experience with vector databases used in modern AI systems • Strong programming experience in Python • Ability to make and justify architectural decisions • Experience building scalable backend systems • Experience designing data models and storage architectures • Strong understanding of data processing performance and optimisation • Experience with Apache Spark, Apache Airflow, Kafka, and Elasticsearch or OpenSearch highly desirable • Experience with PostgreSQL, MongoDB, and vector databases such as Qdrant, Milvus or pgvector highly desirable • Experience with Python data-processing libraries such as Pandas or Polars highly desirable • Experience working on AI or machine learning platforms • Familiarity with stream processing and event-driven architectures • Experience with cloud infrastructure such as GCP, AWS or Azure • Experience working in high-growth startups or early-stage companies

🏖️ Benefits

• Remote-first work environment • Genuine community focused on growth and well-being • Full-time, long-term role opportunity • Professional growth and development support • Global team and product exposure

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