Data Engineer

INGEPSY; Norte; Presencial; COP 280.260.000 - 373.680.000; Jornada completa

Descripción de la vacante

Kpler is seeking a Data Engineer II to own end-to-end data ingestion pipelines powering core intelligence platforms. You’ll work with Snowflake, ClickHouse, and direct client channels, building high-throughput systems from Kafka, S3, and Iceberg while ensuring reliability and observability.

Collaboration with cross-functional teams across clients and cloud infrastructure is essential. Ideal candidates bring 3+ years in data engineering, strong Java and Python skills, and a DevOps mindset

Formación

• Must-have: 3+ years professional software or data engineering experience building and operating production ingestion pipelines.
• Strong SQL, data modeling fundamentals, and experience with data warehouses (Snowflake or equivalent).
• Production cloud services ownership including monitoring, observability, and CI/CD workflows.

Responsabilidades

• Architect and maintain data ingestion pipelines from sources like Kafka, S3, and Iceberg for Snowflake/ClickHouse.
• Drive reliability with proactive monitoring, alerts, and on-call readiness.
• Lead delivery of end-to-end capabilities with peers, on schedule.
• Elevate developer experience with reusable tools and clear documentation.
• Collaborate with Cloud Platform, Product Managers, and client tech teams to align pipelines with business needs.
• Mentor engineers through code reviews and best practices.

Conocimientos

Java

Python

SQL

Kafka

S3

Airflow

Kubernetes

AWS

Data engineering

Production ownership

Herramientas

Snowflake

ClickHouse

Iceberg

Airflow

Descripción del empleo

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.

About the Role

As a Data Engineer II within our Engineering Platform team, you will own the full lifecycle of data ingestion pipelines that fuel Kpler’s core intelligence platforms, including Snowflake, ClickHouse, and direct client delivery channels. Operating with high autonomy and operational rigor, you will build and maintain high-throughput ingestion frameworks from sources like Kafka, S3, and Iceberg while ensuring exceptional reliability, performance, and observability. In this role, you will collaborate closely with cross-functional engineering crews, cloud infrastructure teams, and external technical teams at clients to deliver seamless, scalable data flows across our global product ecosystem.

Key Responsibilities

Architect and maintain data ingestion pipelines: Design, implement, and operate flexible data ingestion frameworks using Java (sourcing from Kafka, S3, and Iceberg) and Python with Airflow to power analytical platforms like Snowflake and ClickHouse.

Drive operational excellence and reliability: Maintain end-to-end service ownership by setting up proactive monitoring, establishing actionable alerts, reducing pipeline failure modes, and participating in on-call readiness.

Lead technical project delivery: Break down complex engineering problems, author clear design proposals, and lead peer engineers to ship capabilities end-to-end on schedule.

Elevate developer experience and platform standards: Build reusable tools, clear documentation, and paved paths that enable adjacent engineering crews to adopt and extend data ingestion frameworks with minimal friction.

Partner across engineering and client stakeholders: Collaborate with Cloud Platform engineers, Product Managers, tech leads, and technical teams at clients to align pipeline capabilities with broader business and customer needs.

Mentor and grow the engineering crew: Onboard new engineers, conduct constructive code reviews, and share technical best practices to foster continuous improvement across the team.

Experience & Background

What you'll need (Must-haves)

Data ingestion & engineering experience: ~3+ years of professional software or data engineering experience building, operating, and maintaining production data ingestion pipelines (batch/streaming) using tools like Kafka, S3, Iceberg, or Airflow.

Core programming & data stack depth: High proficiency in Java and Python, backed by strong SQL skills, data modeling fundamentals, and analytical warehouse experience (Snowflake or equivalent cloud data warehouse).

Production & DevOps mindset: Demonstrated ownership of production cloud services on AWS, including monitoring/observability, performance tuning, and Kubernetes deployment workflows (GitOps/CI/CD).

Collaborative communication: Strong communication skills to partner with cross-functional product, platform, and external client technical teams.

Nice-to-haves

Snowflake & ClickHouse optimization: Hands‑on experience optimizing Snowflake resource sizing and cost/performance trade‑offs, or operating OLAP engines like ClickHouse.

Client delivery patterns: Familiarity with AWS Transfer Family (sFTP), Excel add‑in integrations, or Python boto3 client data delivery setups.

Frontend awareness: Basic exposure to TypeScript, Vue.js, or API integrations for presenting data in end‑user workflows.

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 buildtogether

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.

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Data Engineer • Colombia, Huila, Colombia, 411080