Data Engineer: DataOps & Modern Data Pipelines

慨正橡扯; Leeds; On-site; GBP 52,000 - 72,000; Full time

Benefits offered by this job

25 days holiday + Bank Holidays

Pension: 6% of salary + 2% by you

Aviva healthcare cover

Flexibenefit: £1000

Life Assurance

Income Protection

Eye test + glasses

Parental Benefits

Job summary

AND Digital in the United Kingdom is seeking a Data Engineer to help our clients deploy and maintain data pipelines in production-safe environments, using the latest technologies and with a DataOps culture. You’ll work in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.

As a result you will need to be able to develop pipelines that bring data to life for decision making, be hands-on with data, and bring experience in

Qualifications

• Develop data pipelines for decision making and data science applications.
• Hands-on with data, focusing on quality and organization.
• Proficient in Python and SQL.
• Experience with Snowflake or DataBricks.
• Understanding of AI usage of data.
• Experience with at least one cloud platform (AWS/Azure/GCP) and related services.
• Experience with DataOps concepts.

Responsibilities

• Develop pipelines that bring data to life for decision making and analytics.
• Be hands-on with data, ensuring quality, flow and proper data organization.
• Collaborate with multi-disciplinary teams in an agile environment.

Skills

Data Engineering

Python

SQL

Snowflake

DataBricks

Cloud platforms

DataOps

AI data usage

Job description

AND Digital in the United Kingdom is seeking a Data Engineer to help our clients deploy and maintain data pipelines in production-safe environments, using the latest technologies and with a DataOps culture. You’ll work in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.

As a result you will need to be able to develop pipelines that bring data to life for decision making, be hands-on with data, and bring experience in