4 of 4 Apache Spark Jobs in Guildford

Solutions Architect

Hiring Organisation
X4 Technology
Location
Guildford, Surrey, UK
Employment Type
Full-time
Certified Professional. Working knowledge of MLOps. Extensive experience in a consulting environment i.e. strong stakeholder engagement capability. Strong programming proficiency in Python, SQL, and Apache Spark, with a proven ability to design, optimise, and scale high-performance data pipelines for AI and analytics applications. Deep understanding of cloud ...

Senior Infrastructure Support Engineer

Hiring Organisation
Nscale
Location
Guildford, Surrey, UK
Employment Type
Full-time
scripts to use Github Actions. What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every ...

AI Engineer (Remote)

Hiring Organisation
Lumenalta
Location
Guildford, Surrey, UK
Employment Type
Full-time
production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines ...

Senior Data Engineer

Hiring Organisation
Fynity
Location
Guildford, Surrey, UK
Employment Type
Full-time
fast-paced, challenging environment. Key Responsibilities: Design, implement, and debug ETL pipelines to process and manage complex datasets. Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions. Collaborate with stakeholders to ensure data quality and alignment with business goals. Utilize programming expertise … experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue ...