Data Engineer at Kpler

Athens, Greece

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Commodities, Energy, MaritimeIndustries

Requirements

Circa 3-5 years' of experience as a data focused Software Engineer
BSc/MSc in computer science, computer engineering or equivalent
Significant experience working with Python (FastAPI is a plus)
Comfortable with SQL and NoSQL databases for OLTP and OLAP usages
Proficiency in building and consuming RESTful APIs
Understanding of performance optimization and caching strategies
Comfortable working with Git, code reviews, and Agile methodologies
Strong command of written and spoken English
Desirable
Experience with Airflow
Experience with AWS (or another cloud provider), using Terraform
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of JVM languages (Scala or Java ideally) and experience with Kafka
Knowledge of microservices architecture

Responsibilities

Develop backend processing services that perform complex calculations and data transformations
Build integration layers to interact with multiple databases (SQL/NoSQL) and third-party APIs
Design and implement RESTful APIs for both client-facing and internal services
Take responsibility for the development and implementation of core algorithms and back-end data pipelines, based on project requirements and design specifications
Discuss the roadmap in collaboration with the product team, helping them build ambitious yet sustainable plans

Skills

Key technologies and capabilities for this role

PythonRESTful APIsSQLNoSQLBackend ServicesData PipelinesData TransformationsAPIsAlgorithms

Questions & Answers

Common questions about this position

What experience level is required for this Data Engineer role?

The role requires circa 3-5 years of experience as a data focused Software Engineer.

What are the key technical skills needed for this position?

Key skills include significant experience with Python (FastAPI is a plus), comfort with SQL and NoSQL databases, proficiency in building and consuming RESTful APIs, and understanding of performance optimization and caching strategies.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this Data Engineer position remote or office-based?

This information is not specified in the job description.

What makes a strong candidate for this Data Engineer role at Kpler?

A strong candidate has a BSc/MSc in computer science or equivalent, 3-5 years as a data-focused software engineer, strong Python skills, experience with databases and APIs, and desirable skills like Airflow, AWS, Docker, or Kafka. Comfort with Git, Agile, and strong English communication are also key.

Kpler

Provides data and analytics for commodity markets

About Kpler

Kpler provides intelligence solutions for commodity markets, focusing on over 25 different commodities including oil, gas, LNG, and maritime freight. The company offers real-time data and analytics through various platforms such as a web-based terminal, API, SDK, and Excel add-in, allowing clients to easily integrate this information into their workflows. Kpler's clients, which include portfolio managers, investment firms, and brokers, use its data to make informed decisions regarding commodity flows, storage levels, and market trends. Unlike its competitors, Kpler emphasizes transparency and accuracy, providing detailed insights into complex markets, such as U.S. crude oil export flows and global storage inventories. The company's goal is to empower clients with expert insights and reliable data solutions to navigate volatile markets.

Paris, FranceHeadquarters

2014Year Founded

$214MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Financial ServicesIndustries

501-1,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Integration of MarineTraffic and FleetMon may cause operational challenges for Kpler.

Emerging data analytics startups could threaten Kpler's market share.

Economic downturns may impact Kpler's subscription-based revenue model.

Differentiation

Kpler offers real-time market intelligence for over 40 commodity markets.

Kpler's strategic acquisitions enhance its data analytics capabilities and market reach.

Kpler provides multiple access points for data integration, including API and SDK.

Upsides

Kpler's partnership with WTO boosts its credibility in global trade analytics.

Acquisitions of MarineTraffic and FleetMon strengthen Kpler's maritime sector presence.

Growing LNG markets in Asia increase demand for Kpler's cargo-tracking solutions.

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