Senior Data Engineer: AI-Driven ETL & Cloud Pipelines

Hackajob Ltd; Manchester; On-site; GBP 90,000 - 110,000; Full time

Benefits offered by this job

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Job summary

Moody's Corporation is seeking a data engineering professional to design and maintain scalable data pipelines on Databricks, Snowflake, Airflow, and Python in AWS. You will collaborate with cross-functional teams and mentor others while driving AI-enabled data solutions for a digital content platform.

The role emphasizes strong database skills, experience with Agile methods, and the ability to communicate complex concepts to non-technical stakeholders.

Qualifications

• We seek 3 years of experience in data eng or software teams.
• Hands-on design and development of data integration/ETL pipelines.
• Experience with Airflow, dbt, and Python.
• Strong DB skills with Postgres SQL, DynamoDB, Snowflake, and Databricks.
• Experience collaborating with Agile teams and stakeholders; strong communication.
• Experience with AI-assisted development tools to improve productivity and quality.
• Understanding data engineering for AI/ML workloads, including data quality, governance, lineage, scalability.
• Bachelors degree or equivalent; masters preferred.

Responsibilities

• Design, build, and support scalable data engineering solutions for our digital content platform.
• Develop and maintain scalable pipelines using Databricks, Snowflake, Airflow, dbt (SQL), and Python in AWS.
• Support platform optimization, infrastructure improvements, and system upgrades.
• Collaborate with technical teams and business partners throughout design and implementation.
• Engage cross-functional teams to understand data requirements and deliver scalable solutions.
• Educate and mentor others via code reviews, documentation, and workshops.

Skills

Data engineering

Python

Airflow

dbt

Postgres SQL

DynamoDB

Snowflake

Databricks

Agile collaboration

AI-assisted development tools

Education

Bachelor's degree or equivalent

Master's degree a plus

Tools

Databricks

Snowflake

Airflow

dbt

Python

Postgres SQL

DynamoDB

Job description

Moody's Corporation is seeking a data engineering professional to design and maintain scalable data pipelines on Databricks, Snowflake, Airflow, and Python in AWS. You will collaborate with cross-functional teams and mentor others while driving AI-enabled data solutions for a digital content platform.

The role emphasizes strong database skills, experience with Agile methods, and the ability to communicate complex concepts to non-technical stakeholders.