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Netrolynx AI

Data Engineer

United Kingdom
Posted 1 day ago
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About The Company

Moody's Corporation is a leading global integrated risk assessment firm that provides innovative credit ratings, research, and risk analysis to financial institutions, corporations, and governments worldwide. Established with a commitment to transparency, integrity, and innovation, Moody's plays a vital role in fostering stable financial markets by delivering reliable data and insights. The company is dedicated to leveraging cutting-edge technology and data-driven solutions to enhance decision-making processes for its clients. With a rich history of excellence and a forward-looking approach, Moody's continues to expand its digital capabilities to meet the evolving needs of the financial industry.

About The Role

The Data Engineer will be an integral part of Moody's Digital Content & Innovations team, responsible for designing, developing, and maintaining scalable data pipelines and infrastructure that support the company's next-generation digital content platform. This role requires a highly skilled professional with a strong background in data engineering, cloud technologies, and software development. The ideal candidate will collaborate closely with cross-functional teams to understand complex data requirements, implement robust solutions, and ensure the seamless flow of data across various platforms. This position offers an exciting opportunity to work on innovative projects that directly impact Moody's digital transformation initiatives, enabling the delivery of high-quality content and insights to clients worldwide.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field; a Master’s degree is a plus
  • Minimum of 1+ years of experience in data engineering or software development roles
  • Hands-on experience designing and implementing data integration and ETL pipelines from diverse sources and formats
  • Proficiency with Apache Airflow, dbt, and Python for data pipeline orchestration and development
  • Strong database skills, including expertise in Postgres SQL, DynamoDB, Snowflake, and Databricks
  • Experience working within Agile teams, collaborating with product owners and stakeholders, and communicating technical concepts effectively to non-technical audiences
  • Awareness of AI-assisted development tools such as GitHub Copilot and generative AI coding assistants to enhance productivity and code quality
  • Understanding of data governance, lineage, quality, and scalability considerations, especially in the context of AI and machine learning workloads

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.

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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.

Responsibilities

As a Data Engineer at Moody's, you will be responsible for designing, building, and supporting highly scalable and reliable data solutions that underpin the company's digital content platform. Your key responsibilities include:

  • Designing, developing, and maintaining scalable data pipelines utilizing DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within an AWS environment
  • Supporting platform optimization efforts, infrastructure enhancements, process improvements, and system upgrades to ensure high performance and reliability
  • Collaborating with Moody's technical teams and business stakeholders to gather requirements, define data strategies, and implement effective solutions
  • Engaging with cross-functional teams to understand data needs and deliver scalable, efficient data architectures
  • Mentoring team members through code reviews, technical documentation, and knowledge-sharing workshops to foster continuous learning and best practices

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Benefits

Moody's offers a comprehensive benefits package designed to promote the well-being and professional growth of its employees. This includes competitive salary packages, health and dental insurance, retirement plans, and paid time off. Employees also have access to ongoing training and development programs, opportunities for career advancement, and a collaborative work environment that encourages innovation and creativity. Additionally, Moody's supports flexible work arrangements to help employees maintain a healthy work-life balance. The company is committed to fostering an inclusive culture where diversity is valued and every employee can thrive.

Equal Opportunity

Moody's Corporation is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness, regardless of race, gender, age, religion, national origin, sexual orientation, disability, or any other characteristic protected by law. We believe that a diverse workforce enhances our ability to serve our clients and innovate in our industry. We welcome applicants from all backgrounds to join our team and contribute to our ongoing success.

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Skills

Data Engineering
Cloud Technologies
Software Development
Data Integration
ETL Pipelines
Apache Airflow
dbt
Python
Postgres SQL
DynamoDB
Snowflake
Databricks
Agile
Data Governance
AI-assisted Development Tools
Machine Learning

Location

United Kingdom

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