Location: London, United Kingdom

Reports to: Head of Business Optimization

Language Requirements: English

Purpose of the role:
The analytics engineer is crucial in transforming our raw data into actionable insights. Imagine being the person that builds the bridges that connect vast data lakes of Easee's 800K connected chargers to our analytical tools. As an Analytics Engineer, you ensure that data flows seamlessly and efficiently, creating robust pipelines that deliver clean, structured data ready for analysis. Your work empowers data analysts and business stakeholders to uncover trends, make informed decisions, and drive strategic initiatives.

With that, you will help Easee make a significant impact in the world and make energy scalable, affordable and available for as many people as possible.

What you will do:

• Design and Implement: Develop data models and transformations for various data domains, ensuring data is structured and accessible.
• Create Data Pipelines: Build and maintain reliable, efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data.
• Collaborate: Work closely with stakeholders to translate business requirements into technical specifications, ensuring the data infrastructure supports analytical needs.
• Support and Review: Assist team members with data engineering and analytics tasks, providing peer reviews and technical support.
• Ensure Quality: Implement best practices for data quality and consistency, ensuring accurate and reliable data for analysis.
• Drive Innovation: Contribute to strategic projects that have a significant impact on the business, enabling data-driven decision-making.

Why Easee:

Easee aims to make energy scalable, affordable and available. For everyone. This involves building scalable and cutting-edge technology. Easees ecosystem of innovative products and services paves the way for the power grid of the future – a grid that distributes power more efficiently and utilizes capacity more intelligently.

Easee was established by three entrepreneurs in 2018, and designs, develops and manufactures products in Scandinavia. Easee was founded on the idea that ambition and delivering cutting-edge technology, can and should go together with a kind and modern company culture that brings out the best in people. We call that: Dare, Care, Deliver!

Sounds exciting? What’s in it for you:

• Collaborative environment - work across borders with a passionate team
• Industry impact - Work at (one of) the largest charge point manufacturer(s) in the world 
• Massive data pools - Work with the largest amount of installed and connected chargers. (800k in our ecosystem)
• Impact on the grid - Help utilise our ecosystem of chargers to make a large impact on the power grid
• Build a data plaform - The ability to influence and take part in building a new data platform
• Exciting data work - Exposure to a diverse range of data domains and cutting-edge tools, with high ownership over your work
• Inspiring culture - Work for a company that creates a business culture that is inspirational and fun
• Competitive rewards - In addition to this, we also offer competitive salary and benefits packages.

Your most important areas of ownership will be:

• Integration: Seamlessly integrate into the existing data team, gaining a deep understanding of the current data architecture and workflows.
• Data Quality: Enhance data quality and reliability across all data domains, ensuring that the data used for analysis is accurate and trustworthy.
• Framework Development: Build reusable frameworks and tools that boost team productivity and streamline data processes.
• Self-Service Enablement: Empower the organization to be more self-sufficient with their data needs by providing structured, understandable data models.
• Collaboration: Foster strong collaboration within the data team and with other stakeholders, ensuring that data solutions align with business requirements.
• Innovation: Drive innovation by implementing new data solutions and improving existing systems, balancing maintenance with the introduction of new technologies.

We believe you are a good match if you are good at:

• Problem Solving: Breaking down complex data challenges into manageable and effective solutions.
• Communication: Clearly conveying technical concepts to non-technical stakeholders, ensuring everyone is on the same page.
• Autonomy and Collaboration: Working independently while maintaining strong collaboration with team members.
• Adaptability: Quickly learning and applying new technologies and methodologies to improve data processes.
• Attention to Detail: Maintaining a high level of accuracy and precision in your work, while also keeping the big picture in mind.
• Proactivity: Taking initiative to identify and address potential issues before they become problems.

What you need to bring along:

• Technical Expertise: Strong understanding of data modeling principles and best practices, with hands-on experience in SQL (preferably Spark/Databricks) and Python.
• Experience: Minimum of 3 years in data engineering or analytics engineering, with demonstrated experience in IoT data processing and analytics.
• Tool Proficiency: Proficient in data visualization using BI tools, version control with Git (preferably GitHub), and public cloud platforms (preferably AWS).
• Desirable Skills: Experience with Infrastructure as Code (Terraform), CI/CD tools (GitHub Actions), and managing access using AWS IAM.
• Analytical Mindset: Strong problem-solving abilities and attention to detail, ensuring high-quality and reliable data solutions.
• Communication Skills: Excellent ability to communicate complex technical concepts to non-technical stakeholders and work effectively in a multicultural environment.
• Self-Motivation: Ability to work independently, take initiative, and proactively learn new technologies and methodologies.
• Team Collaboration: Strong team player who can collaborate effectively with colleagues and contribute to a positive team dynamic.

Before you apply🤔

Easee is growing and changing every day. You may need to take on different or additional tasks along the way, it will be challenging, but also filled with opportunity.