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SLR Consulting

Data Engineering

London
Posted 29 days ago
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This Role Will Do

This role will focus on enhancing and maintaining data pipelines to process financial and ESG data.

Design, build, and maintain robust data pipelines

  • Use 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

  • Integrate advanced economic models into production environments.
  • Leverage automation tools like GitHub to streamline deployment and ensure rapid iteration.

Uphold high technical standards

  • Implement 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

  • 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Commitment

Commitment to create positive environmental value for our clients across sectors, helping them shape the future of their sustainability transition.

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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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Skills

Data Pipelines
Snowflake
Dagster
SQL
Python
AWS
EC2
ECS
Lambda
RDS
DBT
Automation
Docker
Shell Scripting
CI/CD
Agile

Location

London, England, United Kingdom

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