Data Engineer
John Goddard Associates
Overview
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.
Location & Salary
London (five days a week on site) — £65‑75k (dependent on experience)
Responsibilities
* 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.
Skills & Experience
* 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.
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