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Data Platform Engineer ( Kafka Oriented)

Nuvei Open · verified Oct 24, 2026
On-site Tel Aviv-Yafo Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Nuvei. Tel Aviv-Yafo · full-time.

Pay not stated Data Platform Engineer salary

RoleData Engineering
SeniorityMid-level
LocationTel Aviv-Yafo
WorkplaceOn-site
EmploymentFull-time
PostedOct 21, 2026 · 3d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Keep Kafka services running across Confluent and Kubernetes setups, tracking lag, traffic, latency, storage and capacity
  • Investigate live incidents, join the on-call rotation and strengthen recovery, failover and service resilience
  • Maintain topics, partitions, retention rules, access controls, consumer groups, connectors and Schema Registry
  • Roll out upgrades and patches, scale components, and automate setup and routine operations
  • Coordinate with infrastructure, security, data and application teams to bring workloads onto the platform

What you bring

  • At least two years of practical Apache Kafka work, including topics, replication, producers, consumers and groups
  • Hands-on use of Confluent Platform or Confluent Cloud, including Kafka Connect and Schema Registry
  • Production Linux support experience covering logs, monitoring, networking, certificates and access controls
  • Scripting with Python, Bash, PowerShell or similar, plus familiarity with Git and CI/CD

Who this fits

This suits a hands-on engineer focused on operating and improving Kafka in production, including a migration to cloud services. The role is based on-site in Tel Aviv-Yafo and includes an on-call rotation.

From the employer

The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow.

Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration.

At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Your Mission

Nuvei is looking for a hands-on Data Platform Engineer to operate and evolve our enterprise Kafka ecosystem, which serves as the company’s central data streaming platform. The role is critical to our data infrastructure and supports a major ongoing migration to the cloud, while covering production operations, troubleshooting, automation, maintenance, and reliability across high-volume, low-latency, 24/7 on-premises and cloud environments.

Responsibilities

  • Operate and monitor Kafka environments across Confluent Cloud, Confluent Platform, and Kubernetes/CFK deployments, including availability, consumer lag, replication, throughput, latency, storage, and capacity.
  • Troubleshoot production incidents, participate in on-call, perform root-cause analysis, and improve resilience, failover, and disaster-recovery readiness.
  • Manage topics, partitions, retention, ACLs, consumer groups, Kafka Connect connectors, and Schema Registry.
  • Deploy, configure, upgrade, patch, and scale platform components and connectors while maintaining secure access and configuration consistency.
  • Automate platform operations and provisioning using scripting, infrastructure-as-code, and CI/CD.
  • Work with DevOps, SRE, Infrastructure, Security, Architecture, Data, and application teams to onboard workloads and continuously improve platform reliability and governance.

Qualifications

  • 2+ years of hands-on experience with Apache Kafka with strong knowledge of topics, partitions, replication, producers, consumers, and consumer groups.
  • Hands-on experience with Confluent Platform and/or Confluent Cloud, including Kafka Connect and Schema Registry.
  • Experience supporting production systems on Linux, including monitoring, logs, networking, certificates, authentication, and access control.
  • Scripting and automation experience using Python, Bash, PowerShell, or similar tools, plus familiarity with Git and CI/CD.
  • Strong ownership, troubleshooting, and communication skills, with a willingness to participate in an on-call rotation.

Preferred Qualifications

  • Experience with Microsoft Azure, Kubernetes / Confluent for Kubernetes (CFK), Helm, or Terraform.
  • Experience with the Kafka Connect ecosystem, including Debezium plugins, SMTs, Replicator, and source/sink connectors.
  • Familiarity with observability, SRE practices, SLIs/SLOs, incident management, and disaster recovery.
  • Experience in payments, fintech, banking, or another regulated environment; Confluent/Kafka certification is a plus.

Nuvei is an equal-opportunity employer that celebrates collaboration and innovation and is committed to developing a diverse and inclusive workplace. The team at Nuvei is comprised of a wealth of talent, skill, and ambition. We believe that employees are happiest when they’re empowered to be their true, authentic selves. So, please come as you are. We can’t wait to meet you.

Benefits

  • Private Medical Insurance
  • Office and home hybrid working
  • Global bonus plan
  • Volunteering programs
  • Prime location office close to Tel Aviv train station

Our recruitment process may use automated tools, including AI, to support application management and candidate shortlisting.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.