Role: Data Engineer (Senior)
Location: Birmingham (Central)
Data Engineer / ETL / Database / Data Processes / Architecture / Cloud / Azure / AWS / Microservices / SQL / NoSQL / Data Warehouse / Data Factory / Data Lake / BI / Business Intelligence
A fantastic opportunity has come up for a professional and versatile Data Engineer with a minimum of 5 years’ experience in ETL processes, databases, distributed systems, and large-scale data processing, to join a growing start up with huge funding located in central Birmingham.
This organisation are doing some really exciting things, and are working with most of the latest technologies within IT, so you will get lots of opportunities to be creative, stay ahead of the competition, and most importantly have lots of career progression, and keep you on your toes with exciting projects.
The ideal candidate will bring in-depth technical knowledge and demonstrate strong interpersonal communication skills. You will have a large amount of autonomy to do what is needed to succeed, a clear and meaningful purpose, and backing to demonstrate mastery of the trade.
You will also have the support and freedom to employ industry-leading engineering practices, with a clear focus on customer needs.
You will work alongside the engineering teams to provide hands-on expertise in building our data platform. Your primary responsibility will be in the movement, transformation and preparation of data for use by Data Scientists, Data Analysts, BI Engineers and Software Engineers. You will influence the data architecture and help determine the best solution to meet each use case.
The ideal candidate
Data Engineer that is technically adept and have a deep hands-on knowledge of data engineering in a cloud-based Microservice architecture. Understand how to best handle workloads to meet varying requirements, such as big data solutions or ML insights. Be comfortable architecting and developing well-tested data pipelines Be comfortable architecting and developing modern, scalable, resilient, and performant data architectures.
Experience with schema design using semi-structured and structured data structures and SQL/NoSQL design considerations Have experience collaborating alongside Data Scientists, Data Analysts, BI Engineers and Software Engineers. Be highly motivated, driven and adaptable. Be passionate about learning. Ability to recognise and deliver against business needs. Technologies Relational and non-relational Databases, Data Warehouses, Azure Data Services Data Factory, Data Lake, Synapse Analytics, Microservices/Distributed systems architecture. Knowledge of C# highly desirable!
If you feel you have the required skills and experiance to be considered for this opportunity, and want to apply, please forward an up To date version of your CV, and you will be contacted back within 24 hours.
Buzz Words: Data Engineer / ETL / Database / Data Processes / Architecture / Cloud / Azure / AWS / Microservices / SQL / NoSQL / Data Warehouse / Data Factory / Data Lake / BI / Business Intelligence
- Data Architecture
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