Staff Engineer - Data platform

KplerUnited KingdomPosted 2h agoonsite

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 850 experts from 69 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.

The Data platform tribe builds the tooling and foundational datasets that underpin the rest of Kplers products. They drive the development of large-scale, distributed, real-time pipelines for geospatial data using tools like Flink and Iceberg.

As a Staff engineer you will be part of the engineering leadership within Kpler, responsible for aligning priorities and ensuring the delivery of key initiatives across team and department boundaries. You will be responsible for raising the bar on the operational maturity of our pipelines while overseeing and defining Kpler’s data architecture.

Your mission is to

Design, develop and maintain real-time and batch data pipelines.

Improve reliability and observability, taking ownership of the operational excellence of the data pipelines

Own complex cloud-based infrastructure (You build it, you run it.)

Manage data products with a diverse set of stakeholders.

Provide strategic and technical leadership, supporting and mentoring other engineers in the team.

Gain a deep understanding of a complex domain with many cross-team dependencies.

Own features from end to end.

You could be a good fit if you have

10+ years of experience in Data engineering or Software engineering positions (ideally with DevOps exposure).

Strong technical foundations in backend, data or distributed systems, with significant experience using Java.

Proven experience with streaming technologies either Kafka or Flink.

Ability to work effectively with Product, engineering and domain stakeholders to translate business priorities into clear technical and delivery outcomes.

Deep understanding of distributed systems and architectural trade-offs.

Significant professional use of AI agents

Experience working in a cloud environment (AWS, GCP, Azure)

Strong command of written and spoken English.

Desirable:

Proven experience of batch technologies: Spark.

Exposure to Infrastructure as code (Terraform, Pulumi)

Professional experience using Python or Scala.

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 happen We act decisively and with purpose, going the extra mile. We build together We foster relationships and develop creative solutions to address market challenges. We are here to help We 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

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Skills

Engineering Data Platform

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