Senior Data Engineer (Kafka) (Remote - Europe) at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Kafka, Python, Event-Driven Systems, Data Quality, Governance, Cloud Platforms, CI/CD, Observability Tools, Kotlin, Infrastructure as Code, Streaming Tools, Agile Methodologies, Schema Validation, Disaster Recovery, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (Kafka) in Europe. This role offers the opportunity to own and shape a cutting-edge real-time data streaming platform, ensuring reliable and scalable event-driven solutions across complex systems. As a Senior Data Engineer, you will design and operate Kafka pipelines, enforce governance and data quality standards, and collaborate with cross-functional teams to deliver innovative solutions. You’ll work in a fast-paced, international, and fully remote environment, with opportunities to contribute to transformative digital experiences. If you are passionate about data streaming, scalable architectures, and continuous optimization, this position will give you both impact and growth. Accountabilities In this position, your main responsibilities will include: Designing and maintaining Kafka-based pipelines (Confluent Cloud or self-managed) to support scalable, reliable event flows. Architecting topics, partitions, and retention policies while implementing ingestion solutions with Kafka Connect/Debezium. Enforcing data quality and governance with schema validation (Avro/Protobuf), compliance handling (GDPR/CCPA), and monitoring tools. Ensuring high availability, disaster recovery, and secure operations through CI/CD, infrastructure as code, and cost optimization. Collaborating with data, analytics, product, and marketing teams to define event-driven interfaces and service-level agreements. Continuously improving latency, throughput, and reliability while evaluating new streaming tools and emerging best practices. To be successful in this role, you should bring: 6+ years of experience in data engineering, with strong expertise in event-driven systems. At least 3 years of hands-on production experience with Kafka (Confluent Platform/Cloud), including Kafka Connect, Schema Registry, and Kafka Streams/ksqlDB (or Flink/Spark alternatives). Proficiency in Python for building services, tooling, and test frameworks. Strong knowledge of event modeling, data formats (Avro, Protobuf, JSON), idempotency, and DLQ handling. Excellent communication skills in English (C1 level) and experience working in consulting, agency, or client-facing environments. Familiarity with cloud platforms (AWS, Azure, or GCP), container orchestration (Docker/Kubernetes), CI/CD pipelines, and Git. Experience with observability tools (Prometheus, Grafana, Datadog) and incident response processes is highly valued. Additional experience with Kotlin for Kafka Streams, Jupyter for analysis, IaC (Terraform/CloudFormation), CDPs (mParticle), and tag management tools (Tealium) is a strong plus. This opportunity offers: 100% remote work setup within Europe, with flexibility across time zones. A fast-moving, innovative environment where learning and growth are constant. Career progression paths with opportunities for advancement. International exposure, working with teams across Europe, the US, and beyond. A supportive and collaborative work culture that values initiative and creativity. Competitive compensation package with room for growth. Regular virtual and in-person team events to foster strong connections. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design and maintain Kafka-based pipelines to support scalable, reliable event flows. Collaborate with cross-functional teams to define event-driven interfaces and continuously improve system performance.