01
TRCD-26-05860
Data Engineer (Real-time Streaming / Kafka Ecosystem)
Looking for a Data Engineer (5–10 years) with strong real-time/streaming data engineering skills to design, build, and operate scalable low-latency, high-throughput event-driven pipelines. The role centers on the Kafka ecosystem (Kafka, Kafka Streams, ksqlDB) and Apache Flink for real-time analytics workloads; Java is mandatory. You will partner with architects/platform teams and stakeholders to deliver mission-critical streaming pipelines, with a likely focus on banking/analytics use cases.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 10 years
Role overview
Why This Role Matters.
Looking for a Data Engineer (5–10 years) with strong real-time/streaming data engineering skills to design, build, and operate scalable low-latency, high-throughput event-driven pipelines. The role centers on the Kafka ecosystem (Kafka, Kafka Streams, ksqlDB) and Apache Flink for real-time analytics workloads; Java is mandatory. You will partner with architects/platform teams and stakeholders to deliver mission-critical streaming pipelines, with a likely focus on banking/analytics use cases.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
develop Real-time Data Processing (application using tools like kafka streams, kSQLDB, Apache Flink)
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Real-time streaming
Required
02
Event-driven architecture
Required
03
Apache Kafka
Required
04
Kafka Streams
Required
05
ksqlDB
Required
06
Apache Flink
Required
07
Java
Required
08
Low-latency
Required
09
High-throughput
Required
10
Streaming data pipelines
Required
11
Real-time analytics
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Real-time streaming data engineering
Apache Kafka
Kafka Streams
ksqlDB
Apache Flink
Real-time data processing application development (Kafka Streams/ksqlDB/Flink)
Java
Preferred
Nice to Have
There are no additional preferred qualifications for this position. If you meet the essential requirements, we encourage you to apply.
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Data Engineer (Real-time Streaming / Kafka Ecosystem)
One page, about two minutes. We only ask for what we actually need to have a first conversation.