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ClickhouseCL

Senior Python Engineer - ML and Data Science

ClickHouse, Inc. develops and supports the open-source ClickHouse OLAP database management system, designed for real-time analytics and generating analytical reports from large-scale data with high performance.

Clickhouse

Employee count: 201-500

Netherlands only

About ClickHouse

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba.

ClickHouse is the world’s fastest open-source columnar database for real-time analytics. We empower data-driven organizations with high-performance, scalable analytics solutions. As we continue expanding, we are looking for a Senior Python Software Engineer to enhance our Python capabilities and improve the experience for data scientists and machine learning teams using ClickHouse.

As a Data Science-Focused Software Engineer, you will be at the intersection of engineering and data science. Your primary responsibility will be to enhance ClickHouse’s Python ecosystem, ensuring seamless integration for data scientists, ML engineers, and analytics professionals for data exploration and preparation workloads. You will work closely with engineering, product, and community teams to optimize Python libraries, enhance data science workflows, and contribute to open-source initiatives.

What will you do?

  • Improve ClickHouse's Data Science Python experience: Design and implement features that simplify data ingestion, transformation, and analysis for data scientists using Python.
  • Contribute to ClickHouse's Python Integrations: Enhance existing ClickHouse’s Python integrations to provide a seamless data science experience.
  • Work with Open-Source Ecosystem: Contribute to ClickHouse’s open-source repositories, ensuring compatibility with popular data science toolkits.
  • Performance Optimization: Ensure efficient query execution and data handling when interfacing with Python.
  • Collaborate with Internal External Teams: Work closely with product managers, engineers, and the data science community to gather feedback and refine features.
  • Advocate for Best Practices: Educate users on best practices for leveraging ClickHouse in data science applications via examples and reference architectures.

About you

  • Strong proficiency in Python and familiarity with data science libraries and data processing frameworks such as Pandas, Polars, Scikit-learn, PyTorch.
  • Experience working with databases, query engines, or analytical tools (Snowflake, BigQuery, ClickHouse, DuckDB, etc.).
  • Understanding of distributed systems and OLAP databases.
  • Hands-on experience with data engineering workflows and integrating databases with machine learning or analytics pipelines.
  • Contributions to open-source projects or experience working in an open-source development environment.
  • Strong problem-solving skills and ability to work in a cross-functional team.
  • Strong communication skills.

Nice-to-Have

  • Prior experience with ClickHouse or cloud-based OLAP analytics systems.
  • Understanding of ML workloads and integration with analytical databases.
  • Prior experience working in a developer-first or database technology company.

Compensation

For roles based in the United States, you can find above our typical starting salary ranges for this role, depending on your specific location.

The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements and geographical location.

If you have any questions or comments about compensation as a candidate, please get in touch with us at [email protected].

Perks

  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries.
  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • A $500 Home office setup if you’re a remote employee.
  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of our first 500 employees, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

Netherlands +/- 0 hours

About Clickhouse

Learn more about Clickhouse and their company culture.

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Our customers are frequently confronted with the challenge of analyzing massive volumes of data in real time. Traditional database management systems often struggle to keep pace with the speed and scale required for modern analytics, leading to delays in insights and decision-making. This is precisely why ClickHouse was developed: to provide an open-source, column-oriented OLAP database management system that empowers users to generate analytical reports using SQL queries with lightning speed. We understand that in today's data-driven world, the ability to process and analyze clickstream data, logs, and other event-based information instantaneously is not just a luxury, but a necessity for businesses to remain competitive and responsive. Our users need to perform complex analytical queries on petabytes of data and receive results in sub-second latencies, a feat that can be 100 to 1,000 times faster than conventional systems.

ClickHouse was engineered from the ground up to address these critical needs. Originating from a project at Yandex in 2009 to power their web analytics platform, the core idea was to enable real-time report generation from non-aggregated, constantly updating data. This means our customers can move beyond batch processing and unlock interactive data exploration, dashboards, and real-time monitoring. Whether it's for powering user-facing analytics in applications, conducting in-depth log analysis, building internal data warehouses for business intelligence, or enabling real-time analytics for IoT and financial services, ClickHouse provides a robust and efficient solution. We are committed to making this powerful technology accessible not just to tech-savvy internet giants, but to all enterprises looking to harness the full potential of their data. By offering ClickHouse Cloud, a secure and scalable serverless offering, we further simplify the adoption and management of real-time analytical processing, allowing our customers to focus on deriving valuable insights rather than managing complex infrastructure. Our goal is to ensure that when our customers face the deluge of ever-growing datasets, they have a reliable and extraordinarily fast tool to turn that data into actionable intelligence, driving innovation and operational excellence.

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Clickhouse hiring Senior Python Engineer - ML and Data Science • Remote (Work from Home) | Himalayas