Overview

A well-established professional services business modernising its data infrastructure and embracing cloud-first technologies is looking for a Lead Data Engineer. Based in Liverpool City Centre, they are investing significantly in data capabilities to enhance client services, improve operational efficiency, and drive strategic decision-making through advanced analytics and robust data management practices.

The Role

They are seeking an exceptional Lead Cloud Data Engineer to spearhead data engineering initiatives and drive technical excellence across their cloud infrastructure. You will architect sophisticated data solutions that power critical business operations while leading a talented team of engineers. This is an outstanding opportunity for someone passionate about cutting-edge technology and who wants to shape the future of enterprise data management.

What’s on offer

• Up to £70k DOE


• Hybrid working from Liverpool office – 3 days on site


• Opportunity to work with industry-leading cloud technologies


• Leadership role with genuine career progression prospects


• Collaborative environment with cross-functional teams


• Benefits include enhanced annual leave, comprehensive wellbeing support, enhanced maternity and paternity benefits, life assurance, flexible benefits platform, employee referral scheme, long service recognition, and regular company events

What you’ll need

• Solid experience in data engineering, management and analysis


• Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms


• Excellent Python/PySpark and other languages for data processing


• Strong SQL with experience across relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra)


• Hands-on knowledge of AWS S3 and related big data services


• Extensive experience with big data technologies including Hadoop and Spark for large-scale data processing


• Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance


• Proven track record building automated, scalable ETL frameworks and data pipeline architectures


• Excellent analytical and problem-solving abilities with the ability to translate business needs into technical solutions


• Excellent stakeholder management and documentation skills


• Team leadership experience with the ability to mentor and develop engineering talent

Nice to have

• Knowledge of data streaming platforms such as Kafka or Flink


• Exposure to graph databases or vector database technologies


• Professional certifications in Azure or AWS cloud platforms

Please note: This role cannot offer sponsorship and is not suitable for those on short term visas.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Insurance and Professional Services