Data Engineer: Cloud ETL & AI-Driven Pipelines

Hackajob Ltd

Manchester

On-site

GBP 81,000 - 99,000

Full time

5 days ago

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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.