Data Engineer

Title: Data Engineer (open to the UK and Europe)

Location: Remote Remote GB

Type: Full-time

Workplace: Fully remote

Description

About us  

Climate Arc (Arc) is a philanthropic organization working to accelerate climate transitions in the real economy by unlocking the trillions of dollars of private capital required to meet global goals. We ensure that financial decision makers have the tools, data, and skillsets needed to direct capital to the necessary solutions at speed and scale. Arc implements its strategy through grantmaking and proprietary products and programs delivered by our in-house capability. 

About the opportunity 

On ‘Data’, Arc funds entities that produce raw data and analytics for thousands of entities globally, anchored in climate science, modelled on open access, and enabling a level playing field. Additionally, Arc aggregates the output in a common database that allows for comparability and contextualisation to ensure they are decision-leading and can be absorbed into the financial sector systematically. Climate data and analytics must be open and accessible to allow for financial innovations and to create a solid foundation to shift to the net zero future. We make data available for sectors and regions which are not yet attracting financing at scale. 

Arc is now looking for a driven Data Engineer to support the design, build and maintenance of our data warehouse. You will work closely with our Research and Program team as well as end users and other stakeholders at every stage of the process. 

Role and responsibilities 

• Analyse and organize raw data  
• Build data systems and pipelines in collaboration with the Data Architect
• Interpret trends and patterns 
• Conduct complex data analysis and report on results  
• Prepare data for prescriptive and predictive modelling 
• Build algorithms and prototypes 
• Combine raw information from different sources 
• Explore ways to enhance data quality and reliability 
• Identify opportunities for data acquisition 
• Develop analytical tools and programs 

Requirements

About you 

Required 

• You have previous experience as a data engineer or in a similar role 
• You understand the concept of managing data pipelines as code and have experience with git, CI/CD 
• You can collect, collate, cleanse, synthesise and interpret data to derive meaningful and actionable insights 
• You have technical expertise with data models & data mining and translate data into valuable insights that inform decisions 
• You have experience with major cloud platforms, Google Cloud, Microsoft Azure or AWS (Google Cloud preferred) 
• You have deep understanding of SQL and data processing tools like dbt and are comfortable working with data visualization tools (e.g. Tableau) 
• You have been working with cloud data warehouses like Snowflake, Redshift, Big Query and can build data processing products in python   

 

Desirable 

• You have experience with financial databases e.g., Bloomberg, Refinitiv Eikon, Capital IQ  
• You have an understanding of green software practices, data mesh, master data management   
• You can communicate effectively across organisational, technical and political boundaries, understanding the context 
• You can design, write and iterate code from prototype to production-ready 
• You can effectively translate and accurately communicate across technical and non-technical stakeholders 
• You can develop fit-for-purpose, resilient, scalable and future-proof data services to meet user needs 
• You have a degree in Computer Science, IT, or similar field or equivalent experience 

 

Benefits

Location

For this role we can offer a remote-first working option and are open to locations across the UK and Europe.

Salary and benefits

The salary range for this role will be determined based on the candidate’s location within the UK or Europe, in line with Climate Arc’s Reward Framework and local market benchmarking.

In addition to the base salary, we offer a comprehensive benefits package that includes, but is not limited to:

• Generous paid time off
• Health and wellbeing program
• 9% employer contribution to retirement planning
• Enhanced family pay and leave policies
• Professional learning & development program
• Professional membership paid (if applicable)
• Nomad working policy

As well as the tangible items above, we are building a culture of trust and collaboration where we have confidence our team members will get the job done and meet the deadlines and expectations of their roles.