Senior Data Engineer

Tenth Revolution Group; Birmingham; On-site; GBP 60,000 - 75,000; Full time

Job summary

A financial services company in Birmingham is seeking a Senior Data Engineer to develop robust data solutions and mentor a team. The role involves designing data architecture and managing ingestion pipelines using Databricks, alongside developing complex transformations with PySpark. If you're passionate about data and driving governance standards, this role offers competitive salary and career growth opportunities.

Qualifications

• Strong experience in designing end-to-end data architecture.
• Proficient in building ingestion pipelines using Databricks.
• Experience with PySpark and Spark SQL for data transformations.

Responsibilities

• Design data architecture aligned with best practices.
• Build and manage ingestion pipelines with Databricks.
• Develop complex transformations and cleansing using PySpark.

Skills

Data architecture design

Databricks

PySpark

Spark SQL

Job description

Job Description

Senior Data Engineer

Salary : Up to £75,000

I am working with a well-established financial services organisation that is undergoing a major transformation of its data and analytics capabilities. The data team plays a critical role in building scalable, cloud-first data solutions that provide actionable insights to support executive and operational decision-making. These insights underpin the organisation’s growth strategy across both domestic and international markets.

As a Senior Data Engineer, you will take an active role in shaping solution delivery against business requirements while contributing to the wider technical architecture and strategy. This is a hands-on position where you will spend most of your time developing robust data solutions while also mentoring a small team of Data Engineers to ensure adherence to best practices and governance standards.

In this role, you will be responsible for :

• Designing end-to-end data architecture aligned with modern best practices.
• Building and managing ingestion pipelines using Databricks and related tools.
• Developing PySpark / Spark SQL notebooks for complex transformations and cleansing.
• Applying governance, security, and CI / CD best practices across cloud environments.

Leading technical discussions and produ...