2 months ago

Senior Software Engineer - Java Streaming - Connectors

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Software Engineer specializing in JVM-based data integration and the data engineering ecosystem. Own and maintain core parts of ClickHouse's data integrations, from the high-performance database driver to JVM SDKs and connectors. Build scalable, reliable data integration tooling that enables Data Engineers to process massive datasets with ClickHouse’s speed and scale, while collaborating with OSS and enterprise users.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the full lifecycle of data framework integrations—from core database drivers to SDKs and connectors—ensuring high performance and reliability.
•Develop and extend connectors, sinks, or sources for major big data processing frameworks (Spark, Flink, Beam, Kafka Connect).
•Collaborate with OSS community and internal teams to improve developer experience and throughput for JVM-based integrations.
•Profile and optimize performance, memory usage, and data throughput for JVM-based data pipelines.
•Contribute to design and implementation decisions that scale ClickHouse’s data integration ecosystem.

Pay and Benefits

Perks:Remote WorkHealth InsuranceEquityTime OffHome OfficeGlobal Gatherings

Key Requirements

•6+ years of software development experience with data-intensive solutions
•Proven experience with the internals of at least one of: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
•Experience developing or extending connectors, sinks, or sources for big data frameworks (Spark, Flink, Beam, Kafka Connect)
•Strong understanding of database fundamentals: SQL, data modeling, query optimization, OLAP
•Track record of building scalable data integration systems (beyond simple ETL)

Experience:6+ yearsBig dataData integrationSparkFlinkKafka ConnectBeamJVM

Skills:CommunicationCollaborationProblem-solvingOwnershipTeam orientation

Languages:English

Tech Stack:JavaJVMMemory managementGarbage collectionConcurrencyThreadsExecutorsReactiveJDBCTCP/IPHTTPSQLOLAPData modelingSparkFlinkKafka ConnectBeamSpark SQLJVM tooling

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

2 months ago

Senior Software Engineer - Java Streaming - Connectors

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the full lifecycle of data framework integrations—from core database drivers to SDKs and connectors—ensuring high performance and reliability.
•Develop and extend connectors, sinks, or sources for major big data processing frameworks (Spark, Flink, Beam, Kafka Connect).
•Collaborate with OSS community and internal teams to improve developer experience and throughput for JVM-based integrations.
•Profile and optimize performance, memory usage, and data throughput for JVM-based data pipelines.
•Contribute to design and implementation decisions that scale ClickHouse’s data integration ecosystem.

Pay and Benefits

Perks:Remote WorkHealth InsuranceEquityTime OffHome OfficeGlobal Gatherings

Key Requirements

•6+ years of software development experience with data-intensive solutions
•Proven experience with the internals of at least one of: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
•Experience developing or extending connectors, sinks, or sources for big data frameworks (Spark, Flink, Beam, Kafka Connect)
•Strong understanding of database fundamentals: SQL, data modeling, query optimization, OLAP
•Track record of building scalable data integration systems (beyond simple ETL)

Experience:6+ yearsBig dataData integrationSparkFlinkKafka ConnectBeamJVM

Skills:CommunicationCollaborationProblem-solvingOwnershipTeam orientation

Languages:English

Tech Stack:JavaJVMMemory managementGarbage collectionConcurrencyThreadsExecutorsReactiveJDBCTCP/IPHTTPSQLOLAPData modelingSparkFlinkKafka ConnectBeamSpark SQLJVM tooling

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn