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As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality.
Job Responsibility:
Ingest new datasets as needed by the business
Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards
Investigate and resolve any defects or discrepancies in the datasets
Maintain the dataset catalogue and data dictionary so analysts/data scientists can easily find and use data
Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users
Requirements:
Hold UK Security Clearance or be eligible to go through this clearance
Engage effectively with both technical and non-technical stakeholders
Lead discussions in multidisciplinary teams and handle differing viewpoints
Represent and advocate for the Data Services team externally
Profile data and analyse source systems
Present clear insights to support how data is used downstream
Design, build and test large or complex data products
Look for ways to improve data by providing "conformed" (standardised) datasets
Choose and implement technologies that deliver resilient, scalable, future-proof data solutions
Produce data models across multiple subject areas
Explain the rationale behind choosing specific models
Understand industry-recognised modelling standards and apply them appropriately
Ensure datasets are accompanied by appropriate metadata
Know tools and practices for metadata storage and usage
Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements
Respond to problems in databases, data processes or data products as they arise
Monitor services to identify trends and take preventative action
Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts
Collaborate with others on specifications and reviews
Review requirements, define test conditions, identify risks and test issues
Apply manual and automated testing as needed, analyse and report results
Understand core technical concepts relevant to the role and apply them with guidance
Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation