At a Glance
- Tasks: Join us to develop cutting-edge integrations for real-time data analytics and AI workflows.
- Company: ClickHouse, a fast-growing cloud company recognised on the Forbes Cloud 100 list.
- Benefits: Enjoy flexible remote work, healthcare contributions, stock options, and generous time off.
- Other info: Be part of a dynamic team shaping the future of data analytics globally.
- Why this job: Make a real impact in the data ecosystem while working with innovative technologies.
- Qualifications: Experience in Python, data engineering, or data science, with a passion for high-performance databases.
The predicted salary is between 60000 - 80000 £ per year.
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey!
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
About the role
As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
Bonus points for:
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
Eligible locations: USA, Canada, UK, Portugal, Spain, France, Italy, Germany, Netherlands, Poland, Czech Republic, Israel, UAE
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
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
Remote Senior Software Engineer - Python and Data Ecosystem in Bournemouth employer: Clickhouse
ClickHouse is an exceptional employer, offering a flexible and remote-friendly work environment that spans 20 countries, allowing you to collaborate with a diverse team of innovators. With a strong focus on employee growth, you'll have the opportunity to shape our culture as one of the first 500 employees while enjoying competitive benefits such as healthcare contributions, equity options, and generous time off. Join us in transforming the data landscape and be part of a company that values your insights and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Software Engineer - Python and Data Ecosystem in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to Python and data ecosystems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our journey at ClickHouse.
We think you need these skills to ace Remote Senior Software Engineer - Python and Data Ecosystem in Bournemouth
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with Python and data ecosystems, and show us how your background aligns with what we're looking for at ClickHouse.
Showcase Your Experience:We want to see your hands-on experience as a Data Engineer or Data Scientist. Share specific projects or challenges you've tackled that demonstrate your understanding of high-performance databases and AI workflows.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Clickhouse
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of data engineering. Be prepared to discuss your experience with Python libraries relevant to data processing and analytics, as well as any projects where you've implemented these skills.
✨Understand the Data Ecosystem
Familiarise yourself with the tools and frameworks mentioned in the job description, like Apache Airflow, dbt, and ClickHouse itself. Being able to speak knowledgeably about how these tools interact and their role in the data ecosystem will show that you're not just a coder, but someone who understands the bigger picture.
✨Showcase Your Real-World Experience
Since the role requires someone who has lived the Data Engineer or Data Scientist experience, be ready to share specific examples from your past work. Discuss challenges you faced, how you overcame them, and what you learned from those experiences to demonstrate your hands-on expertise.
✨Engage with the Open-Source Community
Highlight any contributions you've made to open-source projects, especially those related to data engineering or Python. This shows your commitment to the community and your ability to collaborate effectively, which is crucial for this role at ClickHouse.
