Data Engineer: Build Modern Pipelines & Data Platform

Page Personnel; Nottingham; On-site; GBP 55,000 - 57,000; Full time

Job summary

Page Personnel in Nottingham is looking for an experienced Data Engineer to join a globally recognised retailer. You will develop and maintain data pipelines, optimise databases, and design ETL processes to enable data-driven decision making.

Reporting to the Lead Data Engineer, you will work with cross-functional teams, ensure data quality, and build data warehouses. Proficiency in SQL and Python/Java/Scala plus experience with Azure Data Factory, Databricks, and data environments is essential.

Qualifications

• Proven experience as a Data Engineer or similar role.
• Full UK Driving Licence required.
• Strong SQL skills with relational and NoSQL databases.
• Experience with ETL tools such as Azure Data Factory, Databricks, and APIs.
• Knowledge of data environments (Data Lakes, Synapse, Delta Lakes).
• Programming knowledge in Python, Java, or Scala.
• Understanding of data modelling and data warehousing concepts.

Responsibilities

• Develop and maintain robust data pipelines for various sources.
• Design and manage databases for high performance and scalability.
• Build ETL processes for data transformation and enrichment.
• Create and optimise data warehouses for reporting and analytics.
• Implement data quality checks and monitoring to ensure data integrity.
• Collaborate with cross-functional teams to translate requirements into data solutions.
• Maintain documentation for pipelines, processes and models.

Skills

Proven Data Engineer experience

SQL skills

Python/Java/Scala

Data modelling & warehousing

Data quality & ETL

Cross-functional collaboration

Tools

Azure Data Factory

Azure Logic Apps

Databricks

APIs

Job description

Page Personnel in Nottingham is looking for an experienced Data Engineer to join a globally recognised retailer. You will develop and maintain data pipelines, optimise databases, and design ETL processes to enable data-driven decision making.

Reporting to the Lead Data Engineer, you will work with cross-functional teams, ensure data quality, and build data warehouses. Proficiency in SQL and Python/Java/Scala plus experience with Azure Data Factory, Databricks, and data environments is essential.