Data Engineer (open to the UK and Europe)

Climate Arc; United Kingdom; Remote; GBP 30,000 - 45,000; Full time

Job summary

Climate Arc seeks a Data Engineer to design and maintain their data warehouse, facilitating climate data analytics across sectors. The role involves building data systems and collaborating with stakeholders to derive insights essential for climate finance. Ideal candidates will have experience in data engineering, proficiency in cloud technologies, and strong SQL skills.

Benefits

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

Qualifications

• Experience as a data engineer or in a similar role.
• Managing data pipelines as code, experience with git, CI/CD.
• Expertise in SQL and data processing tools.

Responsibilities

• Analyze and organize raw data.
• Build data systems and pipelines in collaboration with the Data Architect.
• Conduct complex data analysis and report on results.

Skills

Data analysis

Data pipelines

SQL

Data mining

Cloud platforms

Education

Degree in Computer Science, IT, or equivalent experience

Tools

Python

dbt

Tableau

Google Cloud

AWS

Microsoft Azure

Snowflake

Redshift

Big Query

Job description

Data Engineer (open to the UK and Europe)

Data Engineer (open to the UK and Europe)

Get AI-powered advice on this job and more exclusive features.

About Us

Climate Arc (Arc) is a philanthropic organization working to accelerateclimate transitionsin the real economyby unlocking the trillions of dollars ofprivatecapital required to meetglobal goals. We ensure that financial decision makers have the tools, data, and skillsets needed to direct capital tothe necessary solutionsat speed and scale. Arc implements its strategy through grantmaking and proprietary products and programs delivered by our in-house capability.

About Us

Climate Arc (Arc) is a philanthropic organization working to accelerateclimate transitionsin the real economyby unlocking the trillions of dollars ofprivatecapital required to meetglobal goals. We ensure that financial decision makers have the tools, data, and skillsets needed to direct capital tothe necessary solutionsat 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.

To apply

Please complete the Application Form including attaching an up-to-date CV as well as answering the application questions (both in English).

We intend to close the advert for this role on Friday 1st August but depending on the level of response we may close it prior, so we encourage you to submit your application sooner than later.

The application and assessment process will involve the following:

• Application review (applications that do not answer the application questions will not be considered)
• 1st round interview: Recruiting Manager (30 to 45 minute MS Teams video call)
• Offline task (1 to 1.5 hours)
• Formal interview (over MS Teams) with the Hiring Manager and panel (1 hour)

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Climate Arc by 2x

Sign in to set job alerts for “Data Engineer” roles.

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

Data Engineer (open to the UK and Europe)

Greater London, England, United Kingdom 2 days ago

Bristol, England, United Kingdom 2 months ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 2 months ago

Manchester, England, United Kingdom 2 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom £30,000 - £45,000 1 month ago

London, England, United Kingdom 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.