Data Engineer - SQL | Snowflake | DBT | Power BI
This is a fantastic opportunity to join an industry leader in the Property Sector as they continue to evolve their Data Engineering division. This is a permanent position, paying up to £65k + benefits and offered on a hybrid working basis – 3 days onsite in one of their London offices (Liverpool St, Hammersmith or Feltham).
You will be broadly experienced across Data Engineering, Data Warehousing, and Data Analytics as you will contribute significantly to developing data integration projects, data migration from legacy systems into a modern infrastructure, as well as some reporting and analytics.
The key focus of the role will be to create a new, modern Data Warehouse to allow the business to achieve their growth goals. As the business has grown via acquisition, there is already a melting pot of technology across the data environment, but the ideal choice for Data Warehouse will be Snowflake.
The right candidate will need strong commercial experience in: ETL/ELT tools – such as Azure Data Factory, DBT, AWS Glue Snowflake or Azure SQL database technologies Power BI and advanced analytics Experience with data migration, mapping complex relational data between systems Any Python experience for processing, scripting, or automation Any experience with DBT, Airbyte, or similar transformation and replication tools would help If you are interested in hearing more, please get in touch ASAP.
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This is a fantastic opportunity to join an industry leader in the Property Sector as they continue to evolve their Data Engineering division. This is a permanent position, paying up to £65k + benefits and offered on a hybrid working basis – 3 days onsite in one of their London offices (Liverpool St, Hammersmith or Feltham).
You will be broadly experienced across Data Engineering, Data Warehousing, and Data Analytics as you will contribute significantly to developing data integration projects, data migration from legacy systems into a modern infrastructure, as well as some reporting and analytics.
The key focus of the role will be to create a new, modern Data Warehouse to allow the business to achieve their growth goals. As the business has grown via acquisition, there is already a melting pot of technology across the data environment, but the ideal choice for Data Warehouse will be Snowflake.
The right candidate will need strong commercial experience in: ETL/ELT tools – such as Azure Data Factory, DBT, AWS Glue Snowflake or Azure SQL database technologies Power BI and advanced analytics Experience with data migration, mapping complex relational data between systems Any Python experience for processing, scripting, or automation Any experience with DBT, Airbyte, or similar transformation and replication tools would help If you are interested in hearing more, please get in touch ASAP.
#J-18808-Ljbffr
