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Data Engineer

Greenpixie

Greater London

Hybrid

GBP 50,000 - 70,000

Full time

5 days ago
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Job summary

A Climate-Tech Company is looking for a passionate Data Scientist or Data Engineer in London. The ideal candidate should have over 3 years of experience, strong Python skills, and a foundation in computer science and statistics. This hybrid role focuses on developing models for measuring cloud emissions and integrating them into big data products. Enjoy flexible working hours, a competitive salary, and the opportunity to make a meaningful impact on sustainability in cloud computing.

Benefits

Flexible working hours
Opportunity for professional growth
Competitive salary package
Share options scheme
Extra holiday with tenure

Qualifications

  • 3+ years of experience in data science or data-focused software engineering.
  • Strong development experience with Python and data libraries.
  • Working knowledge of cloud platforms like AWS.

Responsibilities

  • Implement cloud sustainability models into big data products.
  • Collaborate with the engineering team for seamless integrations.
  • Document findings and methodologies clearly.

Skills

Python
Data analysis
Mathematics fundamentals
Computer science principles
AWS
Cloud security best practices
Statistical analysis

Tools

Pandas
Big data technologies
Azure
GCP
Job description
Overview

Greenpixie, a Climate-Tech Company, working on our cutting-edge software products.

Location: Hybrid (2+ days per week in our Central London office)

Employment Type: Full-Time

Salary Range:
£50 - 70k p.a. dependent on experience.
Share options available.

This role is a blend of software engineering and data science.

The ideal candidate will have strong hands-on experience with Python-based software development, a passion for and solid ability with mathematics / statistics and a core understanding of computer science fundamentals.

Who are Greenpixie?

Greenpixie Ltd is an exciting, innovative tech start-up dedicated to measuring and reducing the environmental impact of cloud computing. Our mission is to develop cutting-edge methodologies and tools to accurately quantify cloud emissions, driving sustainability in public cloud usage.

What are we looking for?

We are seeking a dedicated and passionate Data Scientist or Data Engineer with 3+ years of experience to join our growing team. The ideal candidate will have a solid background in Python development and a core understanding of computer science and statistics fundamentals. A working knowledge of computer hardware and how infrastructure components like CPUs, RAM, storage, GPUs and networking affect performance and power draw . You will play a key role in implementing our cloud sustainability models into our big data products, contributing to our mission of making cloud computing more environmentally responsible. This role requires a scientifically-minded data-scientist who will work directly within our engineering team.

What will you be doing?
  • Coding updates to our cloud emissions model into our Python-based pipeline.
  • Integrating new research findings directly into our codebase, ensuring accurate implementation of methodologies.
  • Using Python libraries such as pandas and polars to process large amounts of data.
  • Collaborating directly with the platform development team to ensure seamless integration.
  • Building a comprehensive understanding of our existing methodologies and identify areas for enhancement.
  • Gathering and analyse data to support and improve our current emissions calculation models.
  • Where required, helping orchestrate in-depth research on cloud emissions and their environmental impact.
  • Working with AWS services and infrastructure, as well as touching on Azure and GCP.
  • Documenting research findings and implementation processes clearly and concisely.
  • Contributing to product discussions, bringing innovative solutions to complex cloud challenges.
  • Working as part of a tight-knit start-up team to make our vision of sustainability across the cloud a reality.
What skills are we looking for?
  • 3+ years of experience in data science or data-focused software engineering with a focus on Python.
  • Passion for solving complex mathematical data problems.
  • Strong understanding of computer science principles and mathematics/statistics fundamentals.
  • Proven proficiency in data science or a related field, with the ability to handle data collection and analysis AND/OR previous experience in software engineering involving large amounts of data.
  • Solid development or coding experience required, particularly with Python and Pandas.
  • Working knowledge of AWS or experience working with other major cloud platforms.
  • Familiarity with Azure and GCP is a plus.
  • Ability to work independently and manage multiple data projects concurrently.
  • Understanding of cloud security and best practices.
  • Strong analytical and scientific thinking skills.
  • Nice to have: An interest in computer hardware and a working knowledge of how infrastructure components like CPUs, RAM, storage, GPUs and networking affect performance and power draw.
  • Nice to have: Passion for sustainability and reducing the environmental impact of cloud computing.
  • We are a fast-growing start-up with a lot of moving parts - while we'll support you along the way, we want someone who is confident to work independently, as well as collaboratively.
What We Offer?
  • ⌛️ Flexible working hours with hybrid office space in Central London.
  • 🍃 The opportunity to contribute to a meaningful project with a real-world impact.
  • 🚀 Working with a fun, passionate team in a company that is growing quickly.
  • ☁️ Exposure to cutting-edge cloud technologies and large-scale data systems.
  • 🌍 Opportunities to attend global conferences in the tech and sustainability sectors.
  • 🏝️ Build up an extra day of holiday for every year you spend with us
  • 💰 Competitive salary package.
  • 📈 Share options scheme.
How to Apply:

If you are passionate about big data, mathematics/stats, data engineering and sustainability, we would love to hear from you. Please send your details to careers@greenpixie.com.

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