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SLR Consulting

Data Engineering

Posted Yesterday
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Design, build, and maintain scalable data pipelines (Snowflake, Dagster, SQL) to process financial, climate, and ESG data. Integrate climate risk models into production, automate deployments via GitHub/CI-CD, and uphold engineering best practices through testing, documentation, and code reviews while collaborating with data scientists and stakeholders in an agile team.
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This role will focus on enhancing and maintaining data pipelines to process financial and ESG data.
 

What this role will do:
• Design, build, and maintain robust data pipelines using tools like Snowflake, Dagster, and SQL to process financial, climate, and ESG datasets at scale. Ensure pipelines are efficient, reliable, and capable of handling terabytes of data.
• Collaborate with Climate Risk modeling team to integrate advanced economic models into production environments. Leverage automation tools like GitHub to streamline deployment and ensure rapid iteration.
• Uphold high technical standards by implementing best practices in coding, testing, and documentation. Regularly review and improve the existing codebase to incorporate innovation and new learnings.
• Work within an agile framework to prioritize tasks, manage time effectively, and align with team goals. Act as a proactive contributor to cross-functional collaboration with data scientists, analysts, and other stakeholders.
 

Skills required:
• Degree in computer science, engineering, mathematics, quantitative methods or related field.
• Substantial experience in developing and maintaining production-level data pipelines.
• Strong command of Python, with a focus on writing clean, efficient, and production-ready code.
• Strong SQL expertise, with experience of relational databases such as PostgreSQL or Snowflake.
• Substantial experience with core AWS products such as EC2, ECS, Lambda and RDS.
• Familiarity with data orchestration technologies such as Dagster, or a strong desire to learn.
• Familiarity with DBT or similar tools for data transformation, or a strong desire to learn.
• Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, peer code reviews, version control, build processes, testing, and deployment. 
• Excellent written and verbal communication skills.

Commitment to create positive environmental value for our clients across sectors, helping them shape the future of their sustainability transition 
About us
SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4500+ employees across 6 regions in over 125 countries. Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development.

Culture & Inclusion at SLR

We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.

We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.

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