Azure Data Engineer
Largely remote - 1-2 days per month in the office
Salary up to £55,000 + Bonus + Benefits
We're on the lookout for a talented Data Engineer with a passion for building modern, cloud-native data solutions. This is a key role in an exciting phase of growth, as we rethink and rebuild our platform on Microsoft Azure.
What youll be doing:
* Driving innovation Be part of a team leading the redesign of our data platform on Azure, bringing fresh ideas to life and improving how we work with data across the business, enhancing data infrastructure.
* Delivering our data strategy Partner with consultants and internal stakeholders to shape and implement a clear, scalable data vision.
* Owning the pipeline Take responsibility for the CRSS data pipeline, managing scripting, controls, and the full release lifecycle from development to production.
* Automating at scale Use tools like Terraform and PySpark to improve performance, efficiency, and scalability across our Azure environment.
What were looking for:
* Strong experience working as a Data Engineer with a focus on Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics).
* Solid skills in SQL, T-SQL and relational databases
* Able to model data for tools like Power BI.
* Experience of Azure Fabric and its use in Data engineering and Data management.
* Experience building and managing cloud pipelines, with an understanding of data lakes, ETL/ELT processes, and data integration best practices.
* A high degree of proficiency with tools like Terraform, PySpark, and Databricks.
* A good understanding of data security and compliance.
* A proactive mindset someone who enjoys collaboration and is happy to mentor others as the team grows.
This is a great opportunity to make a real impact, working in a collaborative environment where your ideas will help shape the future of data within our business.
Ready to take the next step?Please apply today for immediate CV review.
Kinetech is acting as a recruiter in relation to this hire. See our website for more information about how we handle your data.