Software Engineer Data Engineering

Hackajob Ltd; Manchester; On-site; GBP 81,000 - 99,000; Full time

Job summary

Hackajob Ltd in Manchester is seeking a data engineer to design and maintain scalable data pipelines powering our digital content platform. You will work with Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, collaborating with cross-functional teams to deliver reliable data services.

The role emphasizes data quality, governance, lineage, and AI-assisted development tools to boost productivity.

Qualifications

• 1+ year of experience in data engineering or software development.
• Hands-on experience designing and developing data integration/ETL pipelines from diverse sources.
• Hands-on experience with Apache Airflow, dbt, and Python.
• Strong database skills: PostgreSQL, DynamoDB, Snowflake, Databricks.
• Experience collaborating with Agile teams and stakeholders; strong communication.
• Aware of AI-assisted development tools (GitHub Copilot, generative AI coding assistants).
• Understanding data engineering considerations for AI/ML workloads: data quality, governance, lineage, scalability.
• Bachelor’s degree or equivalent; a Master’s degree is a plus.

Responsibilities

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

Skills

1+ year experience

ETL pipelines

Communication skills

AI-assisted development tools

AI/ML workloads considerations

Education

Bachelor's degree or equivalent

Master's degree (plus)

Tools

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

AWS

GitHub Copilot

Job description

Salary: £90,000 - 90,000 per year

Requirements:

• We have 1+ years of experience within a data engineering or software development team.
• We have hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats.
• We have hands-on experience with Apache Airflow, dbt, and Python.
• We have strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks.
• We have experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences.
• We are aware of AI-assisted development tools such as GitHub Copilot and generative AI coding assistants to improve engineering productivity, code quality, and delivery efficiency.
• We understand data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements.
• We have a bachelors degree or equivalent experience; a masters degree is a plus.

Responsibilities:

• We design, build, and support highly scalable data engineering solutions that power our next generation digital content platform.
• We design, develop, and maintain scalable data pipelines using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS.
• We support platform optimization, infrastructure improvements, process control enhancements, and system upgrades.
• We collaborate with our technical teams and business partners throughout design and implementation phases.
• We engage cross-functional teams to understand data requirements and deliver scalable solutions.
• We educate and mentor others through code reviews, documentation, and workshops.

Technologies:

• AI
• Airflow
• AWS
• Cloud
• Copilot
• Databricks
• ETL
• GitHub
• Support
• Machine Learning
• Python
• SQL
• Snowflake
• dbt

More:

We are partnering directly with Moodys Corporation for this role. At Moodys, we unite the brightest minds to turn todays risks into tomorrows opportunities and foster an inclusive environment where everyone feels welcome to be themselves. We are transforming how the world sees risk by advancing AI and integrated risk assessment to move from insight to action, helping clients navigate uncertainty with clarity, speed, and confidence. This role sits within our Digital Content & Innovations Data Engineering team, a collaborative and forward-thinking group focused on building highly available, cloud-native data solutions that power our digital content ecosystem. We partner closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high-quality content experiences across Moodys. Moodys is an equal opportunity employer.

last updated 40 week of 2026