Senior Azure Data Engineer - London, United Kingdom - Method Resourcing
Description
Senior Data Engineer | Azure | PySpark | SparkSQL | SSIS | SQL | ETL/ELT | Databricks | Azure Data Factory | Up To £90,000 | Remote
Method Resourcing are proud to be representing a growing financial services organisation who specialise in both asset and wealth management whose goal is to provide the customer with honest and reliable advice on their finances.
This is an opportunity tojoin an rapidly growing scale up business who operate at the highest standard and work with some of the most exciting brands in finance.
There is currently a great space in their data engineering team where you'll be able to come in and support the business set up a data function from scratch.
This close knit, diverse team pride themselves on their technical professionalism and are focusingto build a new lake-house to ingest masses of data from their already existing data lake.
You'll need experience with:
- 3+ Years of related commercial experience (Data Engineer, Data Warehousing, BI Engineer)
- SQL programming
- Azure technologies e.g. Databricks, ADF, Azure Data Lake
- SparkSQL and PySpark
- Data warehousing, ETL/ELT and data integration experience
- Experience implementing Delta Lakes
This is truly a fantastic opportunity for any ambitious engineer who's looking to join a high performing team within an exciting sale up financial services institution.
**Senior Data Engineer | Azure | PySpark | SparkSQL | SSIS | SQL | ETL/ELT | Databricks | Azure Data Factory | Up To £90,000 | Remote
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