Data Engineer | Hybrid, Snowflake & Azure DataOps

AND Digital Limited

Skipton

Hybrid

GBP 60,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

26 days holiday allowance + bank perii
Flexible bank holidays
12 'Wonder, Share, Delight' days per年
Annual budget for training and upsking
Share scheme
£1000 flexifund for benefits
Private medical insurance
6% employer pension contribution

Job summary

AND Digital is seeking a Data Engineer for Skipton/Hybrid. You will build data pipelines and bring data to life for decision making, with hands-on work on data quality and information flow. Proficiency in Python and SQL, and experience with Snowflake and Azure Databricks, plus cloud exposure (AWS/Azure/GCP), are required.

You will join a multidisciplinary team in a blended working model, contributing to data-led client outcomes and continuing skills development.

Qualifications

  • Develop pipelines that brings data to life for decision making.
  • Hands-on with data, focusing on quality and organisation.
  • Experience coding in Python and SQL.
  • Solid experience of Snowflake and Azure DataBricks.
  • Understanding of AI usage of data.
  • Exposure to at least one cloud platform (AWS, Azure or GCP).
  • Experience with DataOps concepts.

Responsibilities

  • Develop pipelines that brings data to life for decision making, either delivering insight or for more sophisticated data science applications.
  • Be hands-on with data and ensure quality, flow, and organisation of information.
  • Collaborate across teams to deliver data-driven solutions.

Skills

Python
SQL
AI data usage
DataOps concepts
Cloud platforms

Tools

Snowflake
Azure DataBricks
AWS
GCP

Job description

AND Digital is seeking a Data Engineer for Skipton/Hybrid. You will build data pipelines and bring data to life for decision making, with hands-on work on data quality and information flow. Proficiency in Python and SQL, and experience with Snowflake and Azure Databricks, plus cloud exposure (AWS/Azure/GCP), are required.

You will join a multidisciplinary team in a blended working model, contributing to data-led client outcomes and continuing skills development.

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