Staff Engineer

il y a 5 jours

Paris, Île-de-France Kpler Temps plein
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.

The data platform team is a new team that will support Data Engineering practices in order to scale and enable new products with less friction. The team is in charge of building new tools to have better data quality, lineage, SDK and analysts tools across the multiple tribes of Kpler.  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 and Experience
  • Have 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.
  • Are 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.
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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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