Data Engineer

John Goddard Associates

John Goddard Associates is a global logistics business based in central London. The company is undergoing an exciting data transformation programme and has built a new team to design and implement an Azure Databricks platform. As a Data Engineer you will play a key role in building and deploying modern Azure Databricks‑based data solutions, enabling the business to make faster, data‑driven decisions.

London (five days a week on site) — £65‑75k (dependent on experience)

• 
  
• Designing, developing and optimizing end‑to‑end data pipelines (batch & streaming) using Azure Databricks, Spark and Delta Lake.
  
• Implementing Medallion Architecture and building scalable ETL/ELT processes with Azure Data Factory and PySpark.
  
• Partner with the data architecture function to support data governance, using tools such as Azure Purview and Unity Catalog.
  
• Driving data consistency, accuracy and reliability across pipelines.
  
• Working collaboratively with analysts to validate and refine datasets for reporting.
  
• Applying DevOps & CI/CD best practices (Git, Azure DevOps) for automated testing and deployment.
  
• Optimizing Spark jobs, Delta Lake tables and SQL queries for performance and cost efficiency.
  
• Troubleshooting and resolving data pipeline issues proactively.
  
• Partnering with Data Architects, Analysts and Business Teams to deliver end‑to‑end solutions.
  
• Staying ahead of emerging data technologies (e.g., streaming with Kafka/Event Hubs, Knowledge Graphs).
  
• Advocating for best practices in data engineering across the organization.
  

• 
  
• Commercial experience as a data engineer or analytics engineer.
  
• Experience building data solutions for complex commercial business processes.
  
• Experience in logistics, heavy industry or related sectors.
  
• Hands‑on experience with Azure Databricks, Delta Lake, Data Factory and Synapse.
  
• Strong understanding of Lakehouse architecture and medallion design patterns.
  
• Proficiency in Python, PySpark and SQL (advanced query optimisation).
  
• Experience building scalable ETL pipelines and data transformations.
  
• Knowledge of data quality frameworks and monitoring.
  
• Experience with Git, CI/CD pipelines and Agile methodologies.
  
• Ability to write clean, maintainable, well‑documented code.
  
• Experience with Power BI or other visualisation tools.
  
• Ideally knowledge of IoT data pipelines.
  

McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.

Referrals increase your chances of interviewing at John Goddard Associates by 2x.