Technology Lead-Kafka, Confluent cloud and Data Integration-UK

Infosys; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A technology consulting firm in London is looking for an experienced Technology Lead specializing in Kafka and Confluent Cloud. The successful candidate will drive the design and implementation of data integration solutions and ensure seamless data onboarding across environments. Strong SQL skills and expertise in event streaming are essential, along with experience in working with cross-functional teams. This role includes competitive compensation and a focus on professional development.

Benefits

Competitive salary

Bonus opportunities

Professional development

Qualifications

• 5+ years of experience in Kafka and Confluent Cloud implementations.
• Strong proficiency in SQL for data analysis and integration.
• Hands-on experience with data onboarding in hybrid environments (on-prem & cloud).
• Excellent problem-solving, communication, and stakeholder management skills.
• Familiarity with event-driven architecture and streaming best practices.

Responsibilities

• Act as the primary technical owner for Kafka and Confluent Cloud implementations.
• Design, configure, and maintain Kafka clusters, topics, and streaming pipelines.
• Ensure secure, reliable, and scalable data onboarding from various sources.
• Develop and optimize SQL queries for data validation, transformation, and integration.
• Troubleshoot data ingestion and streaming performance issues.

Skills

Kafka expertise

SQL proficiency

Data integration skills

Cloud onboarding experience

Problem-solving skills

Tools

Fivetran

SSIS

ADF

Snowflake

Job description

Overview

Role – Technology Lead
Technology – Kafka, Confluent cloud and Data Integration
Location – UK
Business Unit – DNAINS
Compensation – Competitive (including bonus)

We are looking for an experienced Kafka and Confluent Cloud Specialist to join our team onsite as a Subject Matter Expert (SME) and primary technical lead for all data onboarding activities across on-premises and cloud environments. This role demands strong expertise in event streaming platforms, excellent SQL skills, and the ability to collaborate with multiple stakeholders to ensure smooth data integration and delivery. As a secondary skill, experience with Fivetran, SSIS, ADF or Snowflake will be considered a strong plus.

Your role

In the role of a Data Integration Lead, you will drive the design, implementation, and optimization of enterprise-grade data integration solutions, with a strong focus on real-time streaming and cloud-native platforms. You will lead initiatives involving Apache Kafka and Confluent Cloud, enabling scalable, event-driven architectures that support high-throughput, low-latency data movement across systems. You will anchor engagements from requirement gathering and solution architecture to development and deployment, ensuring seamless integration between diverse data sources and targets. Your expertise will guide teams in stream processing, schema evolution, and integration with cloud platforms and enterprise data lakes. As a senior integration specialist, you will collaborate with cross-functional teams to define integration strategies, enforce data governance, and ensure platform reliability and security. You will also contribute hands-on to building and maintaining robust data pipelines, resolving production issues, and optimizing performance. You will participate in architecture reviews, mentor junior engineers, and promote best practices in data integration, streaming technologies, and cloud-native development. Your leadership will be key in enabling organizations to unlock the value of real-time data, improve operational efficiency, and accelerate digital transformation.

Responsibilities

• Act as the primary technical owner for Kafka and Confluent Cloud implementations.
• Design, configure, and maintain Kafka clusters, topics, and streaming pipelines.
• Ensure secure, reliable, and scalable data onboarding from various sources to both on-prem and cloud environments.
• Develop and optimize SQL queries for data validation, transformation, and integration.
• Data Engineering capabilities using any of the ETL in Fivetran/Snowflake/ADF/SSIS (any one)
• Troubleshoot and resolve issues related to data ingestion and streaming performance.
• Serve as the go-to expert for all Kafka and Confluent-related queries and solutions.
• Collaborate with data engineering teams, architects, and business stakeholders to define onboarding strategies.
• Provide technical guidance and best practices for event-driven architectures.
• Conduct knowledge-sharing sessions and mentor team members on streaming technologies.
• Oversee daily operations for data onboarding and streaming pipelines.
• Implement monitoring and alerting mechanisms for proactive issue resolution.
• Ensure compliance with data governance, security, and regulatory standards.

Required

• 5+ years of experience in Kafka and Confluent Cloud implementations.
• Strong proficiency in SQL for data analysis and integration.
• Hands-on experience with data onboarding in hybrid environments (on-prem & cloud).
• Excellent problem-solving, communication, and stakeholder management skills.
• Familiarity with event-driven architecture and streaming best practices.

Preferred

• Experience with Fivetran, SSIS, ADF or Snowflake technologies.
• Knowledge of ETL processes, data warehousing, and cloud data platforms.
• Exposure to Azure for cloud-based data solutions.

Personal

Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:

• High analytical skills
• High customer orientation
• High quality awareness

Why Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”

Country

United Kingdom

State / Region / Province

London

Work Location

London

Interest Group

Infosys Limited

Company

ITL UK

Role Designation

835ATECHLD Technology Lead