ND
Data Streaming Engineer
full-time•Iași
About this role
Job id 7652
Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
Requirements and responsibilities
We are looking for a Data Streaming Engineer with hands-on experience in Apache Kafka based architectures and real-time integration patterns. Experience with Redpanda and Redpanda Connect is a plus, but not required. Strong Kafka fundamentals are essential. Redpanda can be taught.
This is a hands-on engineering role focused on building and operating streaming pipelines and event-driven integrations in real production environments. You will work as part of a team, contributing to design and implementation under the guidance of senior engineers and architects.
What you’ll do
- Build and maintain real-time data pipelines using Kafka compatible platforms such as Redpanda, Confluent, MSK and Apache Kafka;
- Implement streaming and integration pipelines using Redpanda Connect, Kafka Connect or similar frameworks;
- Develop event-driven integrations between microservices, databases, SaaS systems and data platforms;
- Implement transformations, filtering, enrichment and routing logic in streaming pipelines;
- Configure topics, partitions, consumer groups and basic schemas;
- Integrate streaming platforms with downstream systems such as data lakes, data warehouses and analytics platforms;
- Support production environments including monitoring, troubleshooting and performance tuning;
- Work closely with senior engineers, platform teams and application teams to deliver end-to-end solutions.
What you’ll bring
Core Requirements
- Hands-on experience with Apache Kafka in production or near-production environments;
- Good understanding of Kafka fundamentals including topics, partitions, consumer groups and offsets;
- Experience with Kafka Connect or similar integration frameworks;
- Solid understanding of event-driven architectures and asynchronous integration;
- Experience building data pipelines that move data between systems;
- Proficiency in at least one of Java, Python or Go.
Redpanda
- Experience with Redpanda and Redpanda Connect is a plus, not a requirement;
- Willingness and ability to learn new platforms quickly.
Streaming and Integration
- Experience integrating with databases, APIs, SaaS platforms or file-based systems;
- Basic understanding of schemas, serialization formats and data contracts;
- Familiarity with CDC, event sourcing or streaming ETL is a plus.
Platform and Operations
- Some experience running services in cloud or Kubernetes environments;
- Basic understanding of observability including logs, metrics and monitoring;
- Comfortable troubleshooting issues in distributed systems with support.
How You Think
- You like building real systems, not just demos;
- You are comfortable learning by doing;
- You ask good questions and are not afraid to say I do not know yet;
- You care about reliability and correctness;
- You want to grow into a strong streaming engineer.
Not checking every single requirement?
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let’s meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
What you'll do
- The Data Streaming Engineer will build and maintain real-time data pipelines and implement streaming and integration pipelines. They will also support production environments and work closely with senior engineers and platform teams.
About Ness Digital Engineering
Ness Digital Engineering is a global provider of Intelligent Data and Software Engineering services, specializing in data, AI, and cloud-powered solutions that drive innovation and deliver measurable business outcomes. With over 25 years of engineering expertise and our proprietary data and software platforms and accelerators, Ness helps enterprises modernize systems, accelerate product development, and achieve scalable impact with speed and precision.
Our differentiation lies at the intersection of Industry domain and Technology. We focus on clients across financial services, technology and ISVs, Media & Entertainment, manufacturing, transportation and retail. Ness is known for its delivery excellence, deep domain knowledge, and product engineering expertise. Ness Digital Engineering is a portfolio company of KKR, a leading global investment firm.
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Frequently Asked Questions
What does a Data Streaming Engineer do at Ness Digital Engineering?
As a Data Streaming Engineer at Ness Digital Engineering, you will: the Data Streaming Engineer will build and maintain real-time data pipelines and implement streaming and integration pipelines. They will also support production environments and work closely with senior engineers and platform teams..
Is the Data Streaming Engineer position at Ness Digital Engineering remote?
The Data Streaming Engineer position at Ness Digital Engineering is based in Iași, Iasi, Romania. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data Streaming Engineer position at Ness Digital Engineering?
You can apply for the Data Streaming Engineer position at Ness Digital Engineeringdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.