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Data Engineer - Natural Gas

Kpler kpler.com Open · verified Oct 24, 2026
Hybrid Mexico Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Kpler. Mexico · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationMexico
WorkplaceHybrid
EmploymentFull-time
PostedMay 6, 2026 · 5mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Expand and maintain the scrapers that gather data for the gas products
  • Build backend tools and data pipelines with software engineers to make tracking data more reliable
  • Document tools, data workflows and analytical methods so teammates can share knowledge
  • Automate anomaly checks and monitoring, and improve API performance for end users
  • Help shape the roadmap with analysts and product stakeholders, then test and scale data-quality fixes

What you bring

  • Around three to five years in a software engineering role focused on data
  • Strong Python skills, experience with PostgreSQL or a comparable datastore, and REST API development
  • You can work with time-series and event data, normalize records, and design databases
  • You communicate well in written and spoken English

Who this fits

This mid-level role suits a data-focused engineer who can work across scrapers, pipelines, data quality and APIs. The position is hybrid in Mexico.

From the employer

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.
Kpler are looking for a Data Engineer to sit within our Natural Gas business unit and contribute to the build of our new US Gas product, which will complement our existing European Gas product. The product is currently under development and the scope of the role will include data engineering to scale the data sources used for the product, supporting the development of tailored analytics and be instrumental in merging the data across both products.

Your mission is to:

  • Codify, structure, expand and maintain the data scrapers in place
  • Work alongside software engineers to develop backend tools and data pipelines that improve the overall quality and reliability of our tracking systems
  • Create clear documentation for tools, data processes, and analytical approaches to ensure knowledge sharing across the team
  • Develop automated checks and monitoring systems that proactively flag data anomalies before they require manual intervention
  • Ensure high quality performance of our API to distribute the data to end users
  • Discuss the roadmap in collaboration with Energy Market Analysts and product stakeholders
  • Rapidly test new approaches to data quality challenges, learning from what works and what doesn't, and scaling successful solutions

You could be a match if you are or have:

  • Circa 3-5 years' of experience as a data focused Software Engineer
  • Significant experience working with Python (FastAPI is a plus)
  • Experience with Postgresql or similar data stores
  • Proficiency in building and consuming RESTful APIs
  • Comfortable working with Git, code reviews, and Agile methodologies
  • Experience with time-series, events data, normalization, database design
  • Strong command of written and spoken English
  • Understanding of performance optimization and caching strategies
  • Desirable:

  • Have experience with AWS (or another cloud provider), using Terraform
  • Experience with orchestration tool Airflow on a production environment
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Knowledge on hexagonal architecture and medallion architecture
  • Used monitoring solutions (Datadog, Grafana, etc...)
  • Experience with NoSQL database
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
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.