Senior Data Engineer, Azure, PySpark, SparkSQL, SSIS, SQL, ETL/ELT, Databricks, Azure Data Factory, $1280-90,000, Remote Method Resourcing is happy to represent a developing financial services company that specializes in asset and wealth management and whose mission is to give customers dependable, honest advice about their finances. This is a chance to join a scale-up business that is expanding quickly, operates to the greatest standards, and collaborates with some of the most interesting names in finance. There is a fantastic opening right now in their data engineering team where you can join and help the company start a data function from scratch. This close-knit, multicultural team is focused on building a new lake-house to consume massive amounts of data from their current data lake. They take pleasure in their technical professionalism. Experience with Azure technologies such as Databricks, ADF, and Azure Data Lake is required. SQL programming PySpark and SparkSQL Experience in data warehousing, ETL/ELT, and data integration Implementing Delta Lakes with experience For any motivated engineer wishing to join a high-performing team within an exciting sale-up financial services organization, this is genuinely a terrific opportunity. The excellent benefits package on offer is in addition to the income, which ranges from $128,001 to $1290,000. Fiona Ryalls can be reached by phone at 0117 457 8543 or by email at fiona.ryalls@methodresourcing.co.uk if you're interested in learning more and applying. Apply for this position: Senior Data Engineer, Azure, PySpark, SparkSQL, SSIS, SQL, ETL/ELT, Databricks, Azure Data Factory, $1280-90,000, Remote. Full Name Contact Information Email CV Brief Cover Letter Accept the terms and conditions, please back to the jobs list