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- Technical skills with Azure Synapse Analytics, Azure Data Factory, and Azure Databricks is highly desirable.
- Expertise in SQL and Python.
- Experience working with relational databases either on premises or in the cloud.
- Skills delivering multiple solutions using key techniques such as Data Modelling, ETL / ELT, Data Lakes, Data Warehousing, and BI.
- A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, and Data Pipelines.
- Experience working with one or more of Spark Kafka, or Snowflake.
- A competitive base salary dependent on experience.
- 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday.
- Private medical insurance.
- Life assurance salary.
- Enhanced pension scheme with company contribution
Azure Data Engineer - Leeds, United Kingdom - Stride Recruitment
Description
About the job
Stride Recruitment are looking for skilled and motivated Azure Data Engineers to join a consulting firm offering end-to-end data solutions, delivering best-in-class experiences for their external clients.
To be successful in this role, you will need to have a strong background in Azure data engineering, with experience in data warehousing, data lakes, and data integration.
This is a great opportunity to work with an award-winning Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data.
On offer: