Job Title: Quantexa Data Engineer (Scala/Spark)Location: LondonContract Length: Up to 11 monthsWorking Pattern: 2-3 days in the office per week, via Umbrella CompanyOur 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.Key Responsibilities: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.Qualifications and Skills: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 ..... full job details .....