11 open jobs on The Stack list ClickHouse as a key skill. They come from 9 companies in 6 countries, and 11 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names ClickHouse in its key skills. We do not guess skills from the job title.
What you'll do: You will build and scale real-time ledger systems to track FX risk and liquidity using stream-processing technologies. This involves designing data-quality controls and ensuring the resilience and observability of high-volume event-driven…
What they ask for: The role requires solid software engineering fundamentals and experience with Java or similar object-oriented languages. Candidates should have a strong understanding of databases and a willingness to solve complex distributed-systems…
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics and compliance. You will also collaborate with data scientists to create training datasets and ensure data…
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and modern data warehouse technologies. Candidates must have experience with streaming and orchestration tools, as well as a…
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics. You will also own data quality, retention controls, and collaborate on training datasets for AI models.
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and streaming technologies. Candidates should have experience with data modeling for audit trails and a security-minded approach to…
What you'll do: You will own product features from initial concept through launch while working across the full stack and LLM pipelines. Additionally, you will engage directly with customers to translate their feedback into actionable product decisions.
What they ask for: The role requires two to four years of engineering experience, specifically with full-stack SaaS development and production-grade LLM workflows. Candidates must possess strong TypeScript and React skills and be willing to work on-site in…
What you'll do: You will design, build, and evolve scalable data pipeline and orchestration infrastructure to support autonomous driving data platforms. This involves revamping existing systems and developing new DAG-based workflow platforms to ensure…
What they ask for: You must have strong software engineering fundamentals, solid Python programming skills, and experience working with distributed systems at scale. Familiarity with data engineering best practices, database principles, and distributed event…
What you'll do: You will lead high-uncertainty research projects to drive product decisions and define the methodology for experimentation and effect estimation across the company. You will collaborate with product teams to design experiments, analyze…
What they ask for: The role requires extensive experience in causal inference, A/B test design, and advanced statistical analysis, alongside strong proficiency in SQL and Python. Candidates must demonstrate the ability to translate vague product questions…
What you'll do: Design and build real-time machine learning services for ads monetization and in-game personalization. Manage data pipelines, model deployment, and production monitoring in collaboration with data scientists.
What they ask for: Requires strong experience in Python, SQL, and MLOps for production-grade systems. Candidates must be able to work effectively with data scientists and possess strong communication skills in English and Russian.
What you'll do: You will design, build, and maintain scalable data pipelines to transform raw data into actionable insights and production-ready features. Additionally, you will collaborate with product and engineering teams to develop data products and…
What they ask for: The role requires strong software engineering fundamentals and proficiency in SQL and modern data technologies like Spark or BigQuery. Candidates should have experience in data modeling, pipeline orchestration, and the ability to translate…
What you'll do: Design, develop, and maintain scalable data pipelines while ensuring high data quality across various domains. Support the data platform through technical implementation, data integrations, and collaboration with analytic teams.
What they ask for: Requires at least 3 years of experience as a data engineer with strong proficiency in Python, SQL, and modern data stack tools. Candidates should have experience with containerization and distributed data processing frameworks.
What you'll do: The Data Engineer will develop and maintain the corporate data warehouse using cloud technologies and best practices. They will also build EL/ELT/ETL pipelines and ensure data quality and governance across internal and external systems.
What they ask for: Candidates must have at least 3 years of experience in data engineering with strong proficiency in Python, SQL, and cloud-based data warehousing. Familiarity with modern data stacks like Airflow, dbt, and Google Cloud Platform is essential.
What you'll do: Develop, train, and deploy machine learning models for prediction, classification, and anomaly detection. Collaborate with cross-functional teams to build data pipelines, perform statistical analysis, and support experimentation frameworks.
What they ask for: Requires 5+ years of experience with strong Python, SQL, and machine learning library proficiency. Candidates must have experience with large datasets, analytical databases, and streaming platforms like Kafka.
