drjobs Senior Software Engineer Data Integration & JVM Ecosystem

Senior Software Engineer Data Integration & JVM Ecosystem

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Job Location drjobs

Amsterdam - Netherlands

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

Were responsible for the official data connectors (Kafka dbt Spark Flink Beam Fivetran) and integrations with leading visualization platforms (Grafana Tableau Power BI Metabase).

What will you do

As a Senior Software Engineer specializing in JVM-based frameworks youll serve as a core contributor owning and maintaining critical parts of ClickHouses Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience where youll craft tools that enable Data Engineers to harness ClickHouses incredible speed and scale.

Youll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isnt just about writing code; youre building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. Youll collaborate closely with the open-source community internal teams and enterprise users to ensure our JVM integrations set the standard for performance reliability and developer experience.

About you:

  • 6 years of software development experience focusing on building and delivering high-quality data-intensive solutions.
  • Proven experience with the internals of at least one of the following technologies: Apache Spark Apache Flink Kafka Connect or Apache Beam.
  • Experience developing or extending connectors sinks or sources for at least one big data processing framework such as Apache Spark Flink Beam or Kafka Connect.
  • Strong understanding of database fundamentals: SQL data modeling query optimization and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

  • Strong proficiency in Java and the JVM ecosystem including deep knowledge of memory management garbage collection tuning and performance profiling.
  • Solid experience with concurrent programming in Java including threads executors and reactive or asynchronous patterns.
  • Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
  • Understanding of JDBC network protocols (TCP/IP HTTP) and techniques for optimizing data throughput over the wire.
  • Passion for open-source development.

Bonus points for:

  • Prior contributions to open-source projects: actively engaging with the OSS community advocating for users and influencing the evolution of the core system through your contributions.
  • Familiarity with ClickHouse or similar high-performance data platforms.
  • Working knowledge of Python especially in data engineering contexts (e.g. Pandas PySpark Airflow) and ability to contribute to Python tooling when needed.

Compensation

For roles based in theUnited States the typical starting salary range for this position is listed certain locations such as Los Angeles CA the San Francisco Bay Area CA the Seattle WA 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 individuals 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.

Perks

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 whats 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 seeherefor our Privacy Statement.


Required Experience:

Senior IC

Employment Type

Full Time

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