Cloud Data Engineer - Azure & ETL/ELT (Hybrid)

Skipton; Skipton; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Annual discretionary bonus

25 days + bank holidays + service rise

Employer pension contribution 10%

Private medical insurance

Cycle-to-work scheme

Gym membership discounts

Home and Tech vouchers

Job summary

Skipton is expanding its Engineering team to move to a cloud-native data platform. You’ll design, develop and maintain secure Azure data solutions and end-to-end ETL/ELT pipelines to deliver trusted information for better decisions.

You’ll work with Azure Databricks, Azure Data Factory, Azure Storage and dbt, collaborate with Data Engineers, Analysts and stakeholders, and contribute to Agile delivery while mentoring colleagues in a collaborative, hybrid environment in Skipton.

Qualifications

• Proven experience delivering end-to-end ETL/ELT pipelines.
• Strong knowledge of Azure Databricks, Data Factory, Storage and Key Vault.
• Experience with SQL, Python/PySpark and dbt for data transformation.
• Experience with data modelling and enterprise data warehouses.
• Familiarity with Git and CI/CD in a team environment.
• Agile, collaborative approach with mentoring mindset.

Responsibilities

• Design and develop secure, scalable Azure data solutions using Databricks, Data Factory, Storage, Key Vault and dbt.
• Build end-to-end ETL/ELT pipelines transforming data into trusted information.
• Develop and optimise data models using star, snowflake and data vault.
• Maintain and improve the Enterprise Data Warehouse for performance and quality.
• Collaborate with Data Engineers, Analysts and stakeholders to deliver value.
• Contribute to Agile delivery with testing, reviews, releases and CI/CD.
• Identify improvements and mentor colleagues to strengthen the team.

Skills

Azure data solutions

ETL/ELT pipelines

SQL

Python / PySpark

Data modeling

CI/CD practices

Agile

Mentoring

Tools

Azure Databricks

Azure Data Factory

Azure Storage

Key Vault

dbt

Git

CI/CD tools

Job description

Skipton is expanding its Engineering team to move to a cloud-native data platform. You’ll design, develop and maintain secure Azure data solutions and end-to-end ETL/ELT pipelines to deliver trusted information for better decisions.

You’ll work with Azure Databricks, Azure Data Factory, Azure Storage and dbt, collaborate with Data Engineers, Analysts and stakeholders, and contribute to Agile delivery while mentoring colleagues in a collaborative, hybrid environment in Skipton.