Satelligence03.03.26
AI SCORE 8.5

Remote Junior Data Engineer - Python & Cloud Focus

$48K–$60K/year

About the Role

At Satelligence, we're looking for a Remote Junior Data Engineer to join our dynamic team. As a Junior Data Engineer, you will play a crucial role in building out the capabilities of our (geo)data query engine, contributing to our mission of providing critical sustainability insights. This position offers a unique opportunity to work with cutting-edge technology in a supportive and innovative environment.

What You'll Do

  • Build and maintain scalable infrastructure on Google Cloud Platform (GCP) using infrastructure-as-code tools like Terraform.
  • Optimize data pipelines for processing and storing massive datasets (ETL, OLAP).
  • Develop and manage APIs for efficient data dissemination.
  • Implement data engineering best practices for data quality, security, and performance.
  • Collaborate closely with product teams to understand their needs and provide technical guidance.
  • Contribute to the design and implementation of data storage solutions using PostgreSQL.
  • Monitor and troubleshoot platform performance to ensure high availability.

Requirements

  • Experience as a Python developer.
  • Familiarity with RDBMS, especially PostgreSQL.
  • Knowledge of Django framework.
  • Preference for a well-organized codebase over quick pull request merges.
  • Ability to work in a hybrid environment, with a preference for remote work.

Nice to Have

  • Experience with Infrastructure as Code tools such as Terraform.
  • Familiarity with Google Cloud services (Cloud SQL, Cloud Composer, Kubernetes).
  • Experience with PostGIS or geospatial data.

What We Offer

  • Office centrally located in Utrecht city with easy access via public transport.
  • 27 holidays based on full-time employment.
  • Solid pension scheme with employer contribution.
  • NS Business Card for employees commuting from outside Utrecht.
  • Laptop and necessary IT equipment provided.
  • Additional income protection in case of long-term illness or disability.
  • Daily lunch, fruits, and Aroma Club coffee at the office.
  • Annual Team Week, after-summer drinks, and festive Christmas celebrations.

Meet Satelligence!

Satelligence is the market leader in remote sensing technology for sustainable sourcing, dedicated to halting deforestation. We empower traders, manufacturers, and agribusinesses with critical sustainability insights to minimize their environmental footprint and track progress against climate objectives. Founded in 2016, we currently employ over 40 people across various locations in Europe, Asia, Africa, and South America.

Apply for the Job

If you want to join our team as our new Remote Junior Data Engineer, we would love to hear from you!

Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Junior Data Engineer role at Satelligence offers a unique opportunity to work with advanced technologies while contributing to sustainability efforts. Enjoy a supportive team environment and competitive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and PostgreSQL, with hands-on experience in building ETL pipelines to manipulate and analyze geospatial data, leveraging libraries like Pandas and GeoPandas.

Adaptable and self-motivated, thriving in a remote work environment while effectively managing time and collaborating asynchronously with team members across different time zones.

Familiar with cloud infrastructure, specifically Google Cloud Platform, and Terraform for deploying and managing data services, showcasing a proactive approach to learning new tools and technologies.

Learning Resources

Python for Data Engineeringcourse

Career Path

Remote Junior Data Engineer - Python & Cloud Focus(Now)Data Engineer(1-2 years)Senior Data Engineer(3-5 years)

Market Overview

Market Size 2024
$39.2B
Annual Growth
22.4%
AI Adoption
45%
Investment
+120%
Labour Demand
+30%
Avg Salary
$85K

Skills & Requirements

Required
PythonPostgreSQLDjango
Growing in Demand
Apache KafkaData WarehousingMachine Learning
Declining
MapReduceSAS

Domain Trends

Increased Adoption of Cloud-Based Data Solutions
As companies transition to cloud platforms, the use of tools like Google Cloud and Terraform has surged, with a reported 60% of organizations moving their data infrastructure to the cloud.
Rise of Data Engineering Roles
The demand for data engineers has increased by 40% in the last two years, driven by the need to manage and optimize data pipelines and architectures.
Integration of AI in Data Processing
Over 50% of companies are integrating AI and machine learning into their data processing workflows, enhancing the capabilities of data engineers to provide actionable insights.

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