Data Engineer: Pipelines, ETL & Data Warehousing

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

Benefits offered by this job

Excellent Benefits Package

Job summary

Michael Page is recruiting a Data Engineer in Nottingham to join a leading global commercial retailer. You will develop and maintain data pipelines, optimise databases, design ETL processes, and ensure data quality as part of the data build and enablement strategy.

Reporting into the Lead Data Engineer, you will work with cross-functional teams to derive insights from data assets while ensuring performance, security, and scalability across data lakes, warehouses, and reporting platforms.

Qualifications

• Proven experience as a Data Engineer or similar role.
• Full UK Driving Licence.
• Strong SQL skills with relational and NoSQL databases.
• Experience with data pipeline and ETL tools (Azure Data Factory, Azure Logic Apps, Databricks, APIs).
• Understanding of Data Lakes, Synapse, Delta Lakes.
• Proficiency in Python, Java or Scala.

Responsibilities

• Develop and maintain robust data pipelines to ingest, process, and transform data from various sources, ensuring data reliability and quality.
• Implement seamless data integration processes supporting the continuous flow of information across the organisation.
• Design, optimise and manage databases to ensure data retrieval and storage performance, availability and scalability.
• Craft efficient ETL processes transforming raw data into usable formats and enrichment, for improved efficiency.
• Build and maintain data warehouses for structured storage, enabling easy reporting and analysis.
• Implement data quality checks and validation to ensure high accuracy and monitor data integrity.
• Optimise data pipelines and databases for performance and scalability, forecasting future needs.
• Enforce robust data security measures to safeguard privacy and prevent unauthorised access.
• Maintain documentation for data pipelines, processes and models for knowledge transfer.
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions.

Skills

SQL proficiency

Attention to detail

Collaborative team player

Tools

Azure Data Factory

Azure Logic Apps

Databricks

APIs

Python

Java

Scala

Data Lakes

Job description

Michael Page is recruiting a Data Engineer in Nottingham to join a leading global commercial retailer. You will develop and maintain data pipelines, optimise databases, design ETL processes, and ensure data quality as part of the data build and enablement strategy.

Reporting into the Lead Data Engineer, you will work with cross-functional teams to derive insights from data assets while ensuring performance, security, and scalability across data lakes, warehouses, and reporting platforms.