Data Engineer - Build AI-Ready Data Pipelines

AND Digital; Leeds; On-site; GBP 60,000 - 85,000; Full time

Benefits offered by this job

25 days holiday + bank holidays

Pension 6% + 2% employee

Aviva healthcare cover

Flexibenefit £1000

Life Assurance

Income Protection

Eye test + glasses

Enhanced Parental Leave

Job summary

AND Digital is hiring a Data Engineer to help clients deploy and maintain robust data pipelines in a production‑safe environment. You will work in a fast-moving, agile setting within multi‑disciplinary teams, delivering modern data platforms for large organisations.

You will bring coding experience in Python and SQL, solid Snowflake or DataBricks experience, and a good grasp of AI in data, with exposure to AWS/Azure/GCP and related tools. DataOps concepts are valued.

Qualifications

• Develop pipelines that bring data to life for decision making, delivering insights or data science readiness.
• Be hands-on with data, ensuring data quality, flow, and organization.
• Bring experience in Python and SQL coding.
• Have solid experience of Snowflake or DataBricks.
• Understand AI usage of data.
• Have exposure to at least one cloud platform (AWS, Azure or GCP) and related technologies.
• Have experience with DataOps concepts.

Responsibilities

• Develop pipelines that bring data to life for decision making, delivering insights or data science readiness.
• Be hands-on with data, ensuring quality, flow, and organization of information.
• Work in a fast-moving, agile environment within multi-disciplinary teams delivering modern data platforms to large organisations.

Skills

Python

SQL

Snowflake

DataBricks

AI data usage

Cloud platforms (AWS/Azure/GCP)

DataOps

Tools

DynamoDB

Redshift

Kinesis

Glue

Lambda

QuickSight

Job description

AND Digital is hiring a Data Engineer to help clients deploy and maintain robust data pipelines in a production‑safe environment. You will work in a fast-moving, agile setting within multi‑disciplinary teams, delivering modern data platforms for large organisations.

You will bring coding experience in Python and SQL, solid Snowflake or DataBricks experience, and a good grasp of AI in data, with exposure to AWS/Azure/GCP and related tools. DataOps concepts are valued.