> Markdown version of [/jobs/ext/4612418-quantexa-data-engineer-avp](https://www.wearedevelopers.com/jobs/ext/4612418-quantexa-data-engineer-avp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantexa Data Engineer - AVP - **Company:** Adecco - **Location:** London, United Kingdom - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Application Frameworks, Microsoft Azure, Cloud Database, Information Engineering, Extract Transform Load (ETL), DevOps, Elasticsearch, Python (Programming Language), Cloud Services, Scala (Programming Language), SQL Databases, Cloud Platform System, Azure Data Factory, Apache Spark, Data Pipelines, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-562FAFEC0D790F9588/ ## About the Role * Strong Data Engineering background. * Hands-on experience with Scala and Spark. * Experience with SQL and Python. * Experience with Azure Data Factory, Azure Databricks and cloud data platforms. * ETL and data pipeline development expertise. * Experience with Elasticsearch, APIs and modern engineering practices. * Exposure to Quantexa would be highly desirable. * Financial Services experience beneficial but not essential. ## Description Our client is investing in a major Quantexa-led financial crime and AML transformation programme and is looking for a hands-on Quantexa Data Engineer to join the team. This role will play a key part in building scalable data pipelines, cloud-based data solutions and entity resolution capabilities supporting AML outcomes across a global banking environment. You will work closely with technology, product and business stakeholders, helping to develop and enhance a new Quantexa capability across EMEA., * Design, build and optimise scalable data pipelines and ETL processes. * Develop solutions using Scala, Spark, Python and SQL. * Support the implementation and growth of the Quantexa platform. * Build reusable frameworks and shared engineering capabilities. * Work across Azure, Databricks and cloud-based data platforms. * Ensure data quality, integrity, security and platform reliability. * Support testing, deployment and automation activities. * Collaborate with global teams to deliver high-quality solutions.