Senior Data Engineer

Alexander Associates Technical Recruitment

England

Hybrid

GBP 60,000 - 80,000

Full time

14 days+

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Job summary

A leading technical recruitment agency is seeking a Mid-Senior Data Engineer for a 6-month contract based in the United Kingdom. This hybrid role requires deep expertise in Data Engineering with a focus on Azure Databricks, Python, and Spark. Ideal candidates will have significant experience in building scalable data processing applications and managing complex data pipelines. The position allows for flexible work arrangements, with up to 3 days a week in London and a requirement for security clearance due to project nature.

Qualifications

10+ years’ experience in Data Engineering with 3 years in Azure Databricks.
Strong programming in Python and Spark or Scala.
Knowledge of data warehousing and data integration architectures.

Responsibilities

Design and maintain complex data pipelines in cloud environments.
Implement data quality frameworks and governance practices.
Collaborate with teams in Agile delivery.

Skills

Data Engineering

Azure Databricks

Python

Spark (PySpark)

ETL/ELT patterns

Azure Data Factory

SQL Database

Git

Agile methodologies

Job description

Alexander Associates Technical Recruitment provided pay range

This range is provided by Alexander Associates Technical Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Alexander Associates Technical Recruitment

Role Overview

Resourcer at Alexander Associates Technical Recruitment

6 Month initial contract

Hybrid role (up to 3 times a week in London)

Start ASAP

*Please note that this role requires security clearance due to the nature of the project

Qualifications

10+ years’ experience in Data Engineering, with a minimum of 3 years of hands‑on Azure Databricks experience delivering production‑grade solutions.
Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications.
Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures.
Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the Azure ecosystem.
Demonstrable experience designing, developing, and maintaining large‑scale datasets and complex data pipelines in cloud environments.
Proven capability in data architecture design, including the development and optimisation of end‑to‑end data pipelines for performance, reliability, and scalability.
Expert‑level knowledge of Databricks, including hands‑on implementation, cluster management, performance tuning, and (ideally) relevant Databricks certifications.
Hands‑on experience with SQL and NoSQL database technologies, with strong query optimisation skills.
Solid understanding of data quality frameworks, data governance practices, and implementing automated testing/validation within pipelines.
Proficient with version control systems such as Git, including branching strategies and CI/CD integration.
Experience working within Agile delivery environments, collaborating closely with cross‑functional teams to deliver iterative, high‑quality solutions.