Azure Data Engineer - 6 Months - NO SPONSORSHIP
City of London
The Data Engineer will be working within the Data Engineering team to design and develop data solutions within an Azure cloud native environment. The landscape is a new Azure and Databricks based platform will be designed and implemented from the ground up. Strong skills in Azure tooling (ADF), SQL, and Python are a key requirement. The role will suit someone with excellent communication skills who enjoys sharing knowledge and developing the skills of the people they work with.
THIS ROLE DOES NOT OFFER SPONSORSHIP:
What good looks like:
* Designing, implementing and using different database structures with particular focus on cloud based data services such as Azure, Databricks.
* Providing technical assistance in data engineering, analysis, orchestrations and enrichment.
* Building relationships within the business and understanding our decision making processes.
* Identifying opportunities to exploit data and enhance decision making.
* Building data solutions/applications to solve complex business problems.
* Deploying data pipelines and applications in a production-safe manner, using DevOps best practices to ensure scalability and re-useability.
* Supporting the wider data team through sharing knowledge and offering support, guidance and coaching skills.
Skills:
* A proven track record in Data Engineering and supporting the business to gain true insight from data.
* Strong Snowflake SQL, Python and Azure data platform experience ADF, Azure Synapse.
* Experience with data tools and languages in a cloud native environment.
* Demonstrable ability of using different database structures with particular focus on cloud based data services such as Azure, Databricks.
* Experience in building ETL/ELT data pipelines and use of DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment.
* Desirable experience in parallel computing to process large datasets and to optimise computationally intensive tasks.
* Desirable experience of using MI reporting tools and visualisations packages to utilize the datasets created during the engineering process such as: PowerBI/Tableau/Plotly-DashAbility to collaborate with cross-functional teams to define priorities and develop roadmaps.
* Ability to juggle multiple tasks and priorities
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