Quantexa Data Engineering Lead

Job Title: Quantexa Data Engineering Lead

Location: London
Contract Length: Up to 11 months
Working Pattern: 2-3 days in the office per week, via Umbrella Company

Our client is seeking a Quantexa Data Engineering Lead to drive the growth of a newly established Quantexa capability supporting AML and financial crime initiatives across EMEA. This is a hands-on technical leadership role that combines team leadership, stakeholder engagement and solution delivery.

The successful candidate will lead a small team of Data Engineers while remaining actively involved in solution design, development and implementation. You will help shape the strategic direction of the Quantexa platform whilst ensuring successful delivery across a global programme.

Key Responsibilities:

Lead and mentor a team of Quantexa Data Engineers across EMEA.
Act as the senior technical point of contact for the Quantexa platform.
Design, build and optimise scalable data pipelines and ETL processes.
Provide hands-on development using Scala, Spark, Python and SQL.
Partner with technology, product and business stakeholders.
Drive best practice across engineering, testing, deployment and platform support.
Support the continued rollout and adoption of Quantexa across the organisation.
Contribute to cloud architecture leveraging Azure and Databricks.Qualifications and Skills:

Proven Data Engineering leadership experience.
Working knowledge of Quantexa is required.
Strong hands-on experience with Scala and Spark.
Excellent knowledge of ETL, data architecture and cloud data platforms.
Experience with Azure Data Factory, Azure Databricks and SQL.
Strong stakeholder management and communication skills.
Experience operating within Financial Services environments.
Ability to balance technical leadership with hands-on delivery.Proficient in tools such as Jira and Confluence.
Strong analytical skills for diagnosing and troubleshooting system issues.Why Join Our Client?

Opportunity to work on impactful projects that contribute to the organisation's AML efforts.
Collaborative and innovative work environment.
Focus on professional development and staying updated with the latest technologies.If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team.

Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

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