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Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!

Confluent

Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!

full-timePosted: Feb 3, 2026

Job Description

Data Engineer - Remote, United Kingdom

At Confluent, we're revolutionizing how data moves and empowers businesses worldwide. Our platform enables real-time data streaming, allowing companies to react faster, build smarter, and deliver dynamic experiences. We're seeking passionate and collaborative individuals to join our team, who thrive on challenging questions, honest feedback, and mutual support. If you're a smart, curious individual eager to contribute to something bigger, Confluent is the place for you.

Role Overview

As a Data Engineer in our Data team, you'll tackle significant big data challenges in an agile environment. Your primary responsibility will be to construct data pipelines that provide data analysts, data scientists, operational teams, and stakeholders throughout the broader business with access to the company's data. This role encourages innovative thinking and the utilization of cutting-edge technologies. The ideal candidate will possess strong technical skills, a proactive attitude, and the ability to collaborate effectively with team members and stakeholders across various international time zones.

A Day in the Life

Your day as a Data Engineer at Confluent might include:

  • Designing and implementing new data pipelines to support various business needs.
  • Optimizing existing data pipelines for performance and scalability.
  • Collaborating with data scientists and analysts to understand their data requirements.
  • Developing and maintaining data quality checks to ensure data accuracy.
  • Troubleshooting data pipeline issues and implementing solutions.
  • Participating in code reviews and knowledge-sharing sessions.
  • Staying up-to-date with the latest data engineering technologies and trends.
  • Contributing to the development of data governance policies and procedures.

Why Remote, United Kingdom?

Confluent embraces remote work, understanding that talent exists everywhere. The Remote location within the United Kingdom provides access to a diverse pool of skilled professionals. Remote work offers flexibility, allowing you to balance your professional and personal life effectively. This location also enables collaboration with global teams, fostering a diverse and inclusive work environment.

Career Path

At Confluent, we are dedicated to the professional development of our employees. A Data Engineer can progress along various career paths, including:

  • **Senior Data Engineer:** Leading the design and implementation of complex data pipelines.
  • **Data Architect:** Designing and overseeing the overall data architecture for the organization.
  • **Data Engineering Manager:** Leading and managing a team of data engineers.
  • **Principal Data Engineer:** Providing technical leadership and guidance on data engineering best practices.

We provide opportunities for continuous learning, mentorship programs, and internal mobility to support your career growth.

Salary & Benefits

Confluent offers a competitive salary and benefits package, including:

  • Competitive salary commensurate with experience and location.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Flexible work arrangements.
  • Employee stock purchase plan.
  • 401(k) with company match.
  • Professional development opportunities.
  • Wellness programs.

Confluent Culture

Confluent's culture is built on collaboration, innovation, and respect. We value diverse perspectives and encourage open communication. We are committed to creating a welcoming and inclusive environment where everyone can thrive. We believe in empowering our employees to take ownership of their work and make a real impact on the company's success.

How to Apply

If you are excited about the opportunity to join Confluent as a Data Engineer, we encourage you to apply through our online application portal. Please submit your resume and a cover letter highlighting your relevant experience and skills.

FAQ

  1. **What is Confluent's mission?** Confluent's mission is to set data in motion.
  2. **What technologies does Confluent use?** We use a variety of technologies, including Kafka, AWS, GCP, Azure, SQL, and Python.
  3. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager.
  4. **What are the opportunities for growth at Confluent?** We offer various opportunities for growth, including promotions, lateral moves, and professional development programs.
  5. **What is the work-life balance like at Confluent?** We strive to provide a healthy work-life balance and offer flexible work arrangements.
  6. **What is Confluent's approach to diversity and inclusion?** We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
  7. **What is the company culture like?** Our culture is collaborative, innovative, and respectful.
  8. **What are the benefits of working at Confluent?** We offer a competitive salary and benefits package, including health insurance, paid time off, and employee stock options.
  9. **What is the dress code at Confluent?** Our dress code is casual.
  10. **How does Confluent support employee development?** We offer professional development opportunities, mentorship programs, and internal mobility options.

Locations

  • Remote, United Kingdom (Remote)

Salary

Estimated Salary Rangemedium confidence

77,000 - 121,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Pipeline Developmentintermediate
  • SQLintermediate
  • Pythonintermediate
  • Data Warehousingintermediate
  • Real-time Data Systemsintermediate
  • Data Ingestionintermediate
  • Data Transformationintermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Infrastructure as Codeintermediate
  • Data Qualityintermediate
  • Data Observabilityintermediate
  • Data Governanceintermediate
  • Collaborationintermediate
  • Communicationintermediate
  • Time Managementintermediate
  • Problem-solvingintermediate
  • Adaptabilityintermediate
  • Stakeholder Managementintermediate
  • Agile Methodologiesintermediate
  • Service Level Agreements (SLAs)intermediate

Required Qualifications

  • Up to 5 years of experience including internship within a technology company. (experience)
  • Bachelors or Masters degree in Computer Science, Information Technology or a related field. (experience)
  • Competent in SQL and Python. (experience)
  • Proven ability & demonstrated flexibility to collaborate effectively with distributed teams and stakeholders across global time zones. (experience)
  • Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code. (experience)
  • Communicate clearly, especially to technical audience effectively, both verbally and in writing (experience)
  • The ability to adapt to new situations and learn quickly. (experience)
  • Able to collaborate and work well with others. (experience)
  • Can manage their time effectively and prioritize tasks. (experience)
  • Experience building and managing data pipelines. (experience)
  • Knowledge of data warehousing concepts. (experience)
  • Understanding of real-time data systems. (experience)
  • Familiarity with data quality and governance principles. (experience)

Responsibilities

  • Design, construct, and deploy highly efficient and reliable data pipelines.
  • Seamlessly transfer data across various platforms, including Data Warehouses and real-time systems.
  • Develop deep expertise in these data pipelines.
  • Manage Service Level Agreements (SLAs) to ensure optimal performance.
  • Optimize data ingestion, transformation, and storage for performance, reliability and scalability.
  • Collaborate with Data Analysts, Data Scientists and business stakeholders.
  • Create internal data products aimed at boosting operational efficiencies across the organization.
  • Implement data quality, observability and governance best practices.
  • Ensure data accessibility to the entire company.
  • Work with the latest technologies to solve data challenges.
  • Collaborate effectively with distributed teams across global time zones.
  • Maintain and improve existing data pipelines.
  • Troubleshoot data pipeline issues and implement solutions.

Benefits

  • general: Competitive salary and compensation package.
  • general: Comprehensive health insurance coverage (medical, dental, vision).
  • general: Generous paid time off (vacation, sick leave, holidays).
  • general: Flexible work arrangements (remote work options).
  • general: Professional development opportunities (training, conferences).
  • general: Employee stock purchase plan (ESPP).
  • general: Retirement savings plan with company match.
  • general: Wellness programs (gym membership discounts, mental health resources).
  • general: Employee assistance program (EAP).
  • general: Life insurance and disability coverage.
  • general: Paid parental leave.
  • general: Commuter benefits (transportation assistance).
  • general: Opportunities for growth and advancement within the company.
  • general: Collaborative and supportive work environment.
  • general: Chance to work with cutting-edge data technologies.
  • general: Make a significant impact on the company's data strategy.

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Data EngineeringRemoteUnited KingdomSQLPythonCloud ComputingData PipelinesData WarehousingReal-time DataData EngineerRemote Data EngineerData Engineering JobsData PipelineReal-time Data SystemsAWSGCPAzureData QualityData GovernanceBig DataData ScienceData AnalysisConfluent CareersUnited Kingdom JobsRemote Jobs United KingdomKafkaData StreamingETLData ArchitectureData ModelingData StreamingCloudEngineeringGo-To-Market

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Confluent logo

Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!

Confluent

Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!

full-timePosted: Feb 3, 2026

Job Description

Data Engineer - Remote, United Kingdom

At Confluent, we're revolutionizing how data moves and empowers businesses worldwide. Our platform enables real-time data streaming, allowing companies to react faster, build smarter, and deliver dynamic experiences. We're seeking passionate and collaborative individuals to join our team, who thrive on challenging questions, honest feedback, and mutual support. If you're a smart, curious individual eager to contribute to something bigger, Confluent is the place for you.

Role Overview

As a Data Engineer in our Data team, you'll tackle significant big data challenges in an agile environment. Your primary responsibility will be to construct data pipelines that provide data analysts, data scientists, operational teams, and stakeholders throughout the broader business with access to the company's data. This role encourages innovative thinking and the utilization of cutting-edge technologies. The ideal candidate will possess strong technical skills, a proactive attitude, and the ability to collaborate effectively with team members and stakeholders across various international time zones.

A Day in the Life

Your day as a Data Engineer at Confluent might include:

  • Designing and implementing new data pipelines to support various business needs.
  • Optimizing existing data pipelines for performance and scalability.
  • Collaborating with data scientists and analysts to understand their data requirements.
  • Developing and maintaining data quality checks to ensure data accuracy.
  • Troubleshooting data pipeline issues and implementing solutions.
  • Participating in code reviews and knowledge-sharing sessions.
  • Staying up-to-date with the latest data engineering technologies and trends.
  • Contributing to the development of data governance policies and procedures.

Why Remote, United Kingdom?

Confluent embraces remote work, understanding that talent exists everywhere. The Remote location within the United Kingdom provides access to a diverse pool of skilled professionals. Remote work offers flexibility, allowing you to balance your professional and personal life effectively. This location also enables collaboration with global teams, fostering a diverse and inclusive work environment.

Career Path

At Confluent, we are dedicated to the professional development of our employees. A Data Engineer can progress along various career paths, including:

  • **Senior Data Engineer:** Leading the design and implementation of complex data pipelines.
  • **Data Architect:** Designing and overseeing the overall data architecture for the organization.
  • **Data Engineering Manager:** Leading and managing a team of data engineers.
  • **Principal Data Engineer:** Providing technical leadership and guidance on data engineering best practices.

We provide opportunities for continuous learning, mentorship programs, and internal mobility to support your career growth.

Salary & Benefits

Confluent offers a competitive salary and benefits package, including:

  • Competitive salary commensurate with experience and location.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Flexible work arrangements.
  • Employee stock purchase plan.
  • 401(k) with company match.
  • Professional development opportunities.
  • Wellness programs.

Confluent Culture

Confluent's culture is built on collaboration, innovation, and respect. We value diverse perspectives and encourage open communication. We are committed to creating a welcoming and inclusive environment where everyone can thrive. We believe in empowering our employees to take ownership of their work and make a real impact on the company's success.

How to Apply

If you are excited about the opportunity to join Confluent as a Data Engineer, we encourage you to apply through our online application portal. Please submit your resume and a cover letter highlighting your relevant experience and skills.

FAQ

  1. **What is Confluent's mission?** Confluent's mission is to set data in motion.
  2. **What technologies does Confluent use?** We use a variety of technologies, including Kafka, AWS, GCP, Azure, SQL, and Python.
  3. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager.
  4. **What are the opportunities for growth at Confluent?** We offer various opportunities for growth, including promotions, lateral moves, and professional development programs.
  5. **What is the work-life balance like at Confluent?** We strive to provide a healthy work-life balance and offer flexible work arrangements.
  6. **What is Confluent's approach to diversity and inclusion?** We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
  7. **What is the company culture like?** Our culture is collaborative, innovative, and respectful.
  8. **What are the benefits of working at Confluent?** We offer a competitive salary and benefits package, including health insurance, paid time off, and employee stock options.
  9. **What is the dress code at Confluent?** Our dress code is casual.
  10. **How does Confluent support employee development?** We offer professional development opportunities, mentorship programs, and internal mobility options.

Locations

  • Remote, United Kingdom (Remote)

Salary

Estimated Salary Rangemedium confidence

77,000 - 121,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Pipeline Developmentintermediate
  • SQLintermediate
  • Pythonintermediate
  • Data Warehousingintermediate
  • Real-time Data Systemsintermediate
  • Data Ingestionintermediate
  • Data Transformationintermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Infrastructure as Codeintermediate
  • Data Qualityintermediate
  • Data Observabilityintermediate
  • Data Governanceintermediate
  • Collaborationintermediate
  • Communicationintermediate
  • Time Managementintermediate
  • Problem-solvingintermediate
  • Adaptabilityintermediate
  • Stakeholder Managementintermediate
  • Agile Methodologiesintermediate
  • Service Level Agreements (SLAs)intermediate

Required Qualifications

  • Up to 5 years of experience including internship within a technology company. (experience)
  • Bachelors or Masters degree in Computer Science, Information Technology or a related field. (experience)
  • Competent in SQL and Python. (experience)
  • Proven ability & demonstrated flexibility to collaborate effectively with distributed teams and stakeholders across global time zones. (experience)
  • Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code. (experience)
  • Communicate clearly, especially to technical audience effectively, both verbally and in writing (experience)
  • The ability to adapt to new situations and learn quickly. (experience)
  • Able to collaborate and work well with others. (experience)
  • Can manage their time effectively and prioritize tasks. (experience)
  • Experience building and managing data pipelines. (experience)
  • Knowledge of data warehousing concepts. (experience)
  • Understanding of real-time data systems. (experience)
  • Familiarity with data quality and governance principles. (experience)

Responsibilities

  • Design, construct, and deploy highly efficient and reliable data pipelines.
  • Seamlessly transfer data across various platforms, including Data Warehouses and real-time systems.
  • Develop deep expertise in these data pipelines.
  • Manage Service Level Agreements (SLAs) to ensure optimal performance.
  • Optimize data ingestion, transformation, and storage for performance, reliability and scalability.
  • Collaborate with Data Analysts, Data Scientists and business stakeholders.
  • Create internal data products aimed at boosting operational efficiencies across the organization.
  • Implement data quality, observability and governance best practices.
  • Ensure data accessibility to the entire company.
  • Work with the latest technologies to solve data challenges.
  • Collaborate effectively with distributed teams across global time zones.
  • Maintain and improve existing data pipelines.
  • Troubleshoot data pipeline issues and implement solutions.

Benefits

  • general: Competitive salary and compensation package.
  • general: Comprehensive health insurance coverage (medical, dental, vision).
  • general: Generous paid time off (vacation, sick leave, holidays).
  • general: Flexible work arrangements (remote work options).
  • general: Professional development opportunities (training, conferences).
  • general: Employee stock purchase plan (ESPP).
  • general: Retirement savings plan with company match.
  • general: Wellness programs (gym membership discounts, mental health resources).
  • general: Employee assistance program (EAP).
  • general: Life insurance and disability coverage.
  • general: Paid parental leave.
  • general: Commuter benefits (transportation assistance).
  • general: Opportunities for growth and advancement within the company.
  • general: Collaborative and supportive work environment.
  • general: Chance to work with cutting-edge data technologies.
  • general: Make a significant impact on the company's data strategy.

Target Your Resume for "Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!" , Confluent

Get personalized recommendations to optimize your resume specifically for Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now!" , Confluent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringRemoteUnited KingdomSQLPythonCloud ComputingData PipelinesData WarehousingReal-time DataData EngineerRemote Data EngineerData Engineering JobsData PipelineReal-time Data SystemsAWSGCPAzureData QualityData GovernanceBig DataData ScienceData AnalysisConfluent CareersUnited Kingdom JobsRemote Jobs United KingdomKafkaData StreamingETLData ArchitectureData ModelingData StreamingCloudEngineeringGo-To-Market

Answer 10 quick questions to check your fit for Data Engineer Careers at Confluent - Remote, United Kingdom | Apply Now! @ Confluent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.