Data Engineer
تفاصيل الوظيفة
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.
- 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.
- 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.
- 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
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