Staff Engineer (Data platform) at Kpler

France

Kpler Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Commodities, Energy, MaritimeIndustries

Requirements

  • Hands-on experience with Python and/or Scala or any other JVM language
  • Solid SQL skills for querying and managing relational databases
  • Knowledge of streaming and big data technologies (such as Kafka or Spark)
  • Comfortable working with Agile methodologies and Software Craftsmanship
  • Worked on data platform and/or data mesh and have knowledge of data catalogs such as Open Metadata, Unity from Databricks or any others as well as data quality tools such as Montecarlo
  • Eager to learn new languages and technologies
  • Nice to have
  • Have worked with AWS (or another cloud provider), using Terraform
  • Have experience with other JVM Languages
  • Have devOps skills
  • Experience leading internal tooling or developer productivity initiatives
  • Exposure to Elasticsearch
  • Experience with observability and monitoring in distributed systems

Responsibilities

  • Working closely with the tribe lead in order to set technical strategic goals at the tribe level
  • Working alongside data engineers, data scientists and product managers, take responsibility for the development and implementation of our shared data tools
  • Collaborate with the Cloud platform team and other staff engineers to ensure platform coherence
  • Establish technical standards and best practices
  • Mentorship, Coaching and leading: provide technical guidance, coaching, and mentorship to engineers, particularly Senior and mid-level engineers, to help them develop their skills and advance their careers and foster good data practices and high standards
  • Foster a culture of technical excellence and continuous improvement

Skills

Key technologies and capabilities for this role

PythonScalaJVMSQLKafkaSparkData EngineeringData QualityData LineageStreamingBig Data

Questions & Answers

Common questions about this position

What skills and experience are required for the Staff Engineer role?

Required skills include hands-on experience with Python and/or Scala or any other JVM language, solid SQL skills, knowledge of streaming and big data technologies like Kafka or Spark, comfort with Agile methodologies and Software Craftsmanship, and experience with data platforms or data mesh including data catalogs and quality tools.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the company culture like at Kpler?

Kpler fosters a dynamic environment with a team of over 700 experts from 35+ countries, emphasizing building together, acting decisively with purpose, technical excellence, continuous improvement, and nurturing connections to innovate solutions.

What makes a strong candidate for this Staff Engineer position?

Strong candidates have hands-on experience with data platforms or data mesh, leadership in technical standards and mentorship, plus nice-to-haves like AWS/Terraform, DevOps skills, and experience leading internal tooling initiatives.

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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