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Senior Data Engineer | Azure | PySpark | SparkSQL | SSIS | SQL | ETL/ELT | Databricks | Azure Data Factory | £80,000 to £90,000 Hybrid Method Resourcing is proud to represent a growing financial services organisation that specialises in asset and wealth management and whose goal is to provide customers with honest and reliable financial advice. This is an opportunity to join a rapidly growing scale-up business that operates at the highest level and collaborates with some of the most exciting financial brands. As their Data Engineering team expands rapidly, they are looking for a Senior Data Engineer to join the team. This gives you the opportunity to work on cutting-edge technology like delta lake architecture in a well-established and well-functioning team of Data Engineers. While you will not have line management responsibilities, you will be expected to mentor junior team members while working on higher-level tasks on the Azure DevOps board. You must have prior experience with: SQL programming Azure technologies such as Databricks, ADF, and Azure Data Lake PySpark and SparkSQL Experience with data warehousing, ETL/ELT, and data integration Delta Lakes implementation experience This is an excellent opportunity for any ambitious engineer seeking to join a high-performing team within an exciting scale-up financial services institution. A generous package is on offer, including a salary of between £80,000 and £90,000, as well as a generous benefits package with uncapped bonus. Please keep in mind that this position does not offer sponsorship, so candidates must be UK residents with the right to work. If you'd like to learn more and apply, please contact Fiona Ryalls via email at fiona.ryalls@methodresourcing.co.uk or by phone at 0117 457 8543. Apply for the position of Senior Data Engineer | Azure | PySpark | SparkSQL | SSIS | SQL | ETL/ELT | Databricks | Azure Data Factory | £80-90,000 | Hybrid. Full Name Phone Number Email Please include your CV and a brief cover letter. Please accept the following terms and conditions. return to the job list
Senior Data Engineer | Azure | PySpark | SparkSQL | SSIS | SQL | ETL/ELT | Databricks | Azure Data Factory | £80,000 to £90,000 Hybrid Method Resourcing is proud to represent a growing financial services organisation that specialises in asset and wealth management and whose goal is to provide customers with honest and reliable financial advice.
This is an opportunity to join a rapidly growing scale-up business that operates at the highest level and collaborates with some of the most exciting financial brands.
As their Data Engineering team expands rapidly, they are looking for a Senior Data Engineer to join the team.
This gives you the opportunity to work on cutting-edge technology like delta lake architecture in a well-established and well-functioning team of Data Engineers.
While you will not have line management responsibilities, you will be expected to mentor junior team members while working on higher-level tasks on the Azure DevOps board.
You must have prior experience with:
SQL programming Azure technologies such as Databricks, ADF, and Azure Data Lake PySpark and SparkSQL Experience with data warehousing, ETL/ELT, and data integration Delta Lakes implementation experience This is an excellent opportunity for any ambitious engineer seeking to join a high-performing team within an exciting scale-up financial services institution.
A generous package is on offer, including a salary of between £80,000 and £90,000, as well as a generous benefits package with uncapped bonus.
Please keep in mind that this position does not offer sponsorship, so candidates must be UK residents with the right to work.
If you'd like to learn more and apply, please contact Fiona Ryalls via email at fiona.ryalls@methodresourcing.co.uk or by phone at 0117 457 8543.
Apply for the position of Senior Data Engineer | Azure | PySpark | SparkSQL | SSIS | SQL | ETL/ELT | Databricks | Azure Data Factory | £80-90,000 | Hybrid.
Full Name Phone Number Email Please include your CV and a brief cover letter.
Please accept the following terms and conditions.
return to the job list
