Senior Data Engineer

Summary

Join DoiT as a Sr. Data Engineer and contribute to the improvement of the DoiT Cloud Intelligence product, focusing on enhancing the performance of large-scale data warehouses. This remote role, based in EMEA (UK, Ireland, Israel, Estonia, or Spain, with contractor options in other Eastern European locations and Portugal), involves collaborating with product managers and developers. You will lead data warehouse optimization, collaborate on data models and pipelines, design monitoring tools, and guide best practices for data design. The ideal candidate possesses 5+ years of experience with large-scale data systems, deep ClickHouse (or similar) knowledge, and expertise in query tuning and cost optimization. DoiT offers a flexible work environment, unlimited PTO, health insurance, parental leave, employee stock options, a home office allowance, professional development stipends, and more.

Requirements

• 5+ years of experience working with large-scale data systems in production
• Deep knowledge of ClickHouse performance internals or any other big data platform
• Proven expertise in query tuning, cost optimization, and storage design
• Proficiency in SQL and familiarity with backend coding ( e.g., Go, Python)
• Strong understanding of cloud infrastructure
• Real-life experience with real-time analytics
• Excellent communication skills in English, both written and verbal
• Self-organized, Goal-oriented, self-motivated individual who is confident, thorough and tenacious
• Ability to effectively operate with flexibility in a fast-paced, constantly evolving team environment
• A great sense of humor and enjoys having fun at work

Responsibilities

• Lead the analysis and optimization of big data warehouse performance and cost effectiveness
• Collaborate with engineering teams to improve data models and pipelines
• Design and implement tools for monitoring and diagnosing data system health
• Guide best practices for table design, partitioning, clustering, and indexing
• Contribute to platform code and infrastructure to support scalable analytics

Preferred Qualifications

• BA/BS degree or equivalent practical experience
• Experience with Google Cloud or AWS services from a production environment

Benefits

• Unlimited PTO
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program