Data engineer Work, Jobs in Hyde, Gtm (with Salaries)

Software Engineer - Data Engineering
Moody's —Manchester
- Master's degree
- SQL
- AWS
14d
Senior Software Engineer - Data Engineering
Moody's —Manchester
- Master's degree
- SQL
- AWS
14d
Data Engineer
BCN Group —Manchester
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Employee assistance programme
Quick apply
Data/AI Engineer, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Senior Data/AI Engineer - Manager, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Analytical Engineer
On the Beach —Manchester
- Full-time
- Hybrid work
- SQL
- Contracts
- AI
- Annual leave
- Work from home
14d
Technical Business Analyst, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Agile
Data Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Senior Manager, AI Solution Architect, SG&A, Engineering, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- Computer Science
- DevOps
Data Engineer (Snowflake)
Computacenter —Manchester
- Azure
- SQL
- AWS
Manager, Data Engineering Architect, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- Java
- AWS
Data Engineer
Capgemini —Manchester
- Hybrid work
- Azure
- Java
- AWS
Data Platform Engineer - AWS
AO World —Bolton
- Azure
- DevOps
- SQL
- Free parking
- Employee discount
Data Engineer
Network Plus —Salford
- £55,000 - £65,000 a year
- Hybrid work
- Azure
- SQL
- Agile
Quick apply
12d
Manager, AI Engineer, AI & Data, AI Scaling & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Data Engineer
Roke Manor Research Limited —Manchester
- Java
- AWS
- Python
Intermediate Data Engineer
CDL Software —Manchester
- £40,000 - £45,000 a year
- Full-time
- Hybrid work
- Oracle
- DevOps
- SQL
- Free parking
- Referral programme
Quick apply
5d
Data Engineering Manager
On the Beach —Manchester
- Full-time
- Hybrid work
- Management
- AI
- Annual leave
- Work from home
Senior Data Engineer
Betfred —Manchester
- £55,000 - £80,000 a year
- Full-time
- SQL
- AWS
- Agile
- Annual leave
- Employee assistance programme
Quick apply
Data Engineer
NCC Group —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
- No degree
- Annual leave
Quick apply
23h

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Software Engineer - Data Engineering

Moody's -
Manchester

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Job details

14 days ago

Qualifications

Master's degree
SQL
AWS
Bachelor's degree
Machine learning
PostgreSQL
Software development
GitHub
Agile
Apache
DynamoDB
AI
Communication skills
Python

Full job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

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
Hands-on experience with Apache Airflow, dbt, and Python
Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences
Awareness of AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency
Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements

Education

Bachelor’s degree or equivalet experience; Master’s degree is a plus

Responsibilities

In this role, you will design, build, and support highly scalable data engineering solutions that power Moody’s next‑generation digital content platform.

Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades
Collaborate with Moody’s technical teams and business partners throughout design and implementation phases
Engage cross-functional teams to understand data requirements and deliver scalable solutions
Educate and mentor others through code reviews, documentation, and workshops

About the Team

The Digital Content & Innovations Data Engineering team is a collaborative, AI-focused, forward‑thinking group focused on building highly available, cloud‑native data solutions that power Moody’s digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high‑quality content experiences for users across Moody's

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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