Senior Data Engineer | Hungary

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. Your future position

As an engineer in a data platform tribe, you will design, implement, and maintain data pipelines, SDKs and data governance tools. You will be responsible for automating pipelines, building observability frameworks, creating pipelines to enable business teams to deliver core events to the rest of the company.

Your future position As an engineer in a data platform tribe, you will design, implement, and maintain data pipelines, SDKs and data governance tools. You will be responsible for automating pipelines, building observability frameworks, creating pipelines to enable business teams to deliver core events to the rest of the company. Your mission is to:

Design, develop, and maintain scalable real-time data pipelines to support analytics and operational use cases.

Own and operate cloud-based infrastructure, following a “you build it, you run it” model to ensure reliability, performance, and scalability.

Develop and manage data products, collaborating with a diverse set of stakeholders including product managers, analysts, and engineering teams.

Mentor and support other engineers, contributing to a collaborative and high-performing engineering culture.

Build a deep understanding of a complex business domain and work effectively across teams with multiple dependencies.

Own features end-to-end, from design and implementation through deployment, monitoring, and ongoing improvement.

It will be a match if you:

6+ years of experience in DevOps, Data Engineering, or Software Engineering.

Strong proficiency in Java.

Experience working with streaming platforms or message queues (e.g., Kafka, Kinesis, RabbitMQ).

Solid understanding of distributed systems and associated architectural trade-offs.

Strong written and spoken English communication skills.

It will be better if you:

Experience with Infrastructure as Code tools (e.g., Terraform, Pulumi).

Experience working with cloud platforms (AWS, GCP, or Azure).

Familiarity with stream processing frameworks such as Flink, Kafka Streams, or Spark.

Experience with Python.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happenWe act decisively and with purpose, going the extra mile. We build
togetherWe foster relationships and develop creative solutions to address market challenges. We are here to helpWe are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice Apply To This Job