Data Engineer

November 12

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Ciklum

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Artificial Intelligence • B2B • Enterprise

Ciklum is a global digital engineering and AI-enabled product and platform services company that helps enterprises design, build, and scale AI-infused software, cloud, data, and automation solutions. It combines UX and product design with engineering, DevOps, data engineering, responsible AI, and edge/IoT capabilities to move pilots into production and deliver enterprise-ready outcomes across industries such as banking, retail, healthcare, hi-tech, automotive, and travel. Ciklum emphasizes platform-agnostic, scalable solutions—covering AI incubators, conversational AI, agentic automation, cloud and edge services, XR/AR/VR, and digital assurance—focused on transforming workflows and customer experiences for B2B enterprise clients.

1001 - 5000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Design, build, and operate our core AIOps and analytics platform on Kubernetes (starting with EKS) • Implement and optimize large-scale data ingestion pipelines using AWS EMR and Spark • Own and operate our self-managed OpenSearch cluster on Kubernetes (using the K8s operator) • Design and implement robust data lifecycle management and tiering strategies • Get hands-on implementing and integrating AI, machine learning, and generative AI into our platform • Evolve the platform's implementation to support multiple cloud providers beyond AWS • Continuously improve our data processing and models to provide new and deeper insights to our customers

🎯 Requirements

• Significant (e.g., 7+ years) experience as a hands-on data engineer, with a proven track record in a Staff, Principal, or equivalent senior implementor role • Deep, hands-on experience building, deploying, and managing data-intensive applications on Kubernetes (EKS preferred) • Proven experience running and scaling OpenSearch (or Elasticsearch) in a large-scale, self-managed production environment. Experience with the K8s operator is a major plus • Proven experience building, scaling, and optimizing complex, large-scale data pipelines in a production environment • Demonstrable experience in optimizing complex data workflows and implementing data lifecycle/tiering policies to manage and reduce storage costs • Strong knowledge of the AWS ecosystem (EMR, S3, EKS, etc.) • Proficiency in a relevant programming language (e.g., Python, Scala, or Java) • Excellent communication and collaboration skills, with a passion for working as part of a high-performing team

🏖️ Benefits

• Regular salary reviews based on performance • Corporate events including webinars, offline parties, and meetups • Internal Mobility Program • Tailored education path including full access to Udemy and company-paid certifications • 25 paid days off including 20 business days of vacation per calendar year plus 5 undocumented sick leave days • Additional health insurance • 100% company-covered Multisport card with family discounts available