Rodeo
ResourcesPartnersSign in

AgileGrid Solutions

Data Engineer

United Kingdom
Posted about 16 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

About The Company

Moody's Corporation is a leading global integrated risk assessment firm that provides credit ratings, research, and risk analysis to help organizations make informed decisions. With a rich history of delivering insightful and reliable data, Moody's plays a crucial role in financial markets worldwide. The company's commitment to innovation and excellence is reflected in its continuous efforts to enhance its digital infrastructure and data capabilities, ensuring that clients receive the most accurate and timely information. Moody's fosters a dynamic and inclusive work environment that encourages professional growth, collaboration, and technological advancement, making it an ideal place for professionals seeking to make a significant impact in the financial and data sectors.

About The Role

We are seeking a talented Data Engineer to join Moody's Digital Content & Innovations team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure that support Moody's next-generation digital content platform. Your expertise will enable the company to harness the power of data, ensuring high availability, reliability, and performance of critical data systems. You will work closely with cross-functional teams, including product owners, data scientists, and software engineers, to deliver innovative solutions that drive business insights and operational efficiency. This position offers an exciting opportunity to contribute to cutting-edge data engineering projects within a globally recognized organization committed to technological excellence and data-driven decision-making.

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.

See breakdown
Save jobNot relevant
View details

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.

See breakdown
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.

See breakdown
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.

Qualifications

  • Bachelor's degree or equivalent experience; a Master’s degree is a plus
  • At least 1+ years of experience within a data engineering or software development team
  • Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats
  • Proficiency with Apache Airflow, dbt, and Python for data pipeline orchestration and development
  • Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
  • Experience collaborating with Agile teams, product owners, and cross-functional stakeholders
  • Excellent communication skills suitable for technical and non-technical audiences
  • Awareness of AI-assisted development tools such as GitHub Copilot and generative AI coding assistants
  • Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability

Responsibilities

In this role, you will be instrumental in designing, building, and supporting highly scalable data engineering solutions that underpin Moody's digital content ecosystem. Your key responsibilities will include:

  • Designing, developing, and maintaining scalable data pipelines utilizing DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS cloud environment
  • Supporting platform optimization, infrastructure enhancements, process control improvements, and system upgrades to ensure optimal performance
  • Collaborating with Moody's technical teams and business partners throughout the design and implementation phases to meet evolving data needs
  • Engaging with cross-functional teams to understand data requirements and delivering scalable, efficient solutions
  • Educating and mentoring team members through code reviews, documentation, and workshops to foster knowledge sharing and best practices

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Benefits

Moody's offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, health insurance, retirement plans, and paid time off. Employees also have access to ongoing training and development opportunities, fostering continuous learning and career advancement. Moody's promotes a healthy work-life balance with flexible working arrangements and wellness programs. The organization values diversity and inclusion, providing a supportive environment where all employees can thrive and contribute meaningfully to the company's success.

Equal Opportunity

Moody's Corporation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse workforce enhances our innovation, decision-making, and overall success, and we are dedicated to providing equal employment opportunities to all qualified individuals.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Data Engineering
ETL Pipelines
Apache Airflow
Dbt
Python
Postgres SQL
DynamoDB
Snowflake
Databricks
AWS
Agile
Data Integration
Data Governance
Data Lineage
Machine Learning Workloads
Software Development

Location

United Kingdom

Sign up to applySee more jobs like this