Azure Data Engineer (Hybrid) – Cloud Data Platform Builder

Skipton Building Society; Cracoe; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Annual discretionary bonus

25 days leave + bank holidays + rising

Employer pension contribution up to 10

Colleague mortgages and discountedSkip

Flexible working

Private medical insurance

Health and wellbeing app

Cycle-to-work

Discounted gym memberships

Home and Tech voucher

Job summary

Skipton Building Society is looking for a data engineering professional to help shape the future of data. You’ll work with Data Engineers and Analysts to design, develop and continually improve scalable data solutions in a cloud-native environment.

The role focuses on building Azure-based data pipelines, maintaining the Enterprise Data Warehouse, and collaborating with stakeholders across Technology and the wider business. Hybrid working: three days in the office, two from home.

Qualifications

• Proven experience developing Azure data solutions and delivering end-to-end ETL or ELT pipelines.
• Strong working knowledge of Azure Databricks, Azure Data Factory, Azure Storage and Key Vault.
• Experience using SQL, Spark SQL, Python or PySpark, and dbt to transform and model data.
• Knowledge of data modelling principles and patterns, including star schema, snowflake or data vault.
• Experience maintaining and optimising an Enterprise Data Warehouse, alongside a good understanding of data analysis.
• Experience of the full software development lifecycle, including testing, release management, source control such as Git and CI/CD tools.
• An Agile, curious and pragmatic approach, with strong requirements analysis skills and a willingness to support and mentor colleagues.

Responsibilities

• Design and develop secure, scalable Azure data solutions using technologies including Azure Databricks, Azure Data Factory, Azure Storage, Key Vault and dbt.
• Build and implement end-to-end ETL and ELT pipelines that transform data into trusted, accessible information.
• Develop and optimise data models using established approaches such as star schema, snowflake and data vault.
• Maintain and improve our Enterprise Data Warehouse, ensuring performance, reliability and data quality.
• Collaborate with Data Engineers, Analysts and business stakeholders to understand requirements and deliver valuable solutions.
• Contribute to Agile delivery through incremental enhancements, testing, code reviews, release management and CI/CD practices.
• Identify process improvements, share new ideas and mentor colleagues to strengthen capability across the team.

Skills

Azure data solutions

ETL/ELT pipelines

Data modeling

Data warehouse management

Agile delivery

Requirements analysis

Tools

Azure Databricks

Azure Data Factory

Azure Storage

Key Vault

dbt

SQL

Spark SQL

Python

PySpark

Git

CI/CD tools

Job description

Skipton Building Society is looking for a data engineering professional to help shape the future of data. You’ll work with Data Engineers and Analysts to design, develop and continually improve scalable data solutions in a cloud-native environment.

The role focuses on building Azure-based data pipelines, maintaining the Enterprise Data Warehouse, and collaborating with stakeholders across Technology and the wider business. Hybrid working: three days in the office, two from home.