Data Platform Engineer

🕒 Yesterday

🌐 Netherlands, United Kingdom, +2 more countries – Remote

🇳🇱 Netherlands – Remote 🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 77 days.
• 188 open roles for a team of 114.
• No salary listed.

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 Description

• Design and develop reusable Airflow components, including operators, connectors, hooks, and custom integrations • Build reusable dbt macros and abstractions, including incremental strategies, ETL building blocks, and generic data quality tests • Develop DataOps tooling such as CI pipelines, data migration frameworks, and security controls • Conduct code reviews for team members and contributors • Participate in technical and architectural design discussions • Drive technical leadership in specific areas of the stack • Improve the development environment through automation, including AI-assisted workflows • Troubleshoot proactively and resolve incidents promptly • Develop, refactor, and optimize business data models • Mentor and support contributors through code reviews and technical guidance • Lead design and implementation of technically demanding data marts involving high data velocity, large volumes, or complex business logic

🎯 Requirements

• Exceptional SQL skills • Strong hands-on experience with Airflow, dbt, and Python • Proven track record building and optimizing large-scale, high-throughput data pipelines • Solid understanding of ETL/ELT, dimensional modeling, and data quality • Bachelor's degree in Computer Science or a related field • Comfortable thriving in a fast-paced startup environment • Hands-on experience with ClickHouse preferred • Familiarity with AWS or other cloud platforms preferred • Experience with CI/CD development, especially GitHub Actions, preferred

🏖️ Benefits

• Flexible work environment and remote-friendly work arrangement • Employer contributions towards healthcare • Equity in the company for every new eligible team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Global gatherings and company-wide offsites

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