Be-IT are working with a well-known Scottish organization to recruit a Data Engineer on a full-time, permanent basis. This role offers hybrid working, and is based in Glasgow.
You will be responsible for creating an accurate, consistent and available record of key business information - mastered data. You will have expert SQL knowledge, be well-versed in data wrangling and have experience with data pipelines – ingesting, validating, cleansing, modelling, and storing data from multiple sources. You will also have an appreciation of a modern DataOps mindset, including resiliency, scalability and automation.
The role:
* Data Engineering: Integrate data from various sources by cleansing, validating, and transforming it into consistent models. As a Data Engineer, you will contribute to the development of standard data pipelines, processes, and best practices within our Data Engineering team.
* Data Modeling and Design: Organize and model data to ensure consistency and accuracy, creating reliable representations of key business entities.
* Database Design: Contribute to the design of operational databases for storing mastered data, ensuring the data is accessible in a reliable, scalable manner.
* Data Management: Support data storage and management strategies in line with governance requirements, ensuring proper metadata is maintained for data classification and lineage.
* Data Analytics: Collaborate with Analysis teams to derive actionable insights from data, supporting key business and product decisions.
* Data Science: Apply mathematical, statistical, and probabilistic modeling techniques to uncover insights and enhance our mastered data.
The ideal candidate will have:
* Expertise in SQL, with strong skills in data wrangling and working with large-scale datasets.
* Proven experience in relational database design and data modeling.
* Solid understanding of data analysis, with a focus on accuracy and extracting valuable insights to address business domain questions.
* Proficient in designing, building, and monitoring data pipelines to efficiently move, validate, transform, and store data.
* Strong grasp of data security principles, including securing data access and implementing encryption techniques.
Desirable, but not Essential:
* Previous experience with master data management is a plus, but not required.
* Knowledge of data science or machine learning techniques is beneficial.
* Familiarity with modern PaaS platforms, Data Lakes, and Data Lake House architectures is advantageous.
* Comfort with other programming languages (e.g., Python) is a bonus.
The details:
* Permanent role based in Glasgow
* Hybrid working: twice a fortnight on site expected
* up to £55k DOE + 10% bonus
* 33 days annual leave
* Contributory pension scheme
* The right to work in the UK - no sponsorship can be provided
For more information about the role, please apply.