Data Engineer
August 26
🏢 In-office - Newcastle
Description
• Collaborate with cross-functional teams, including system administrators, developers / engineers, external partners, and business stakeholders, to understand requirements and deliver solutions • Design, build and maintain scalable data pipelines to ingest, process and transform structured and unstructured data from diverse sources • Optimise solutions for performance, reliability, and scalability, ensuring efficient data processing and storage • Perform exploratory data analysis to identify trends, patterns and anomalies in datasets • Develop and implement statistical models and algorithms to extract insights and predict outcomes • Design and implement data quality and consistency schemes to ensure the integrity and consistency of data, management information and reporting • Communicate findings to stakeholders through clear and compelling data visualisations, reports and presentations • Create and maintain all relevant documentation to support the data service, e.g. Information Requirements, Data Model, Data Dictionary and ETL Mapping • Provide ad-hoc deep dive analysis, reporting requests and management information to business users • Communicate technical concepts and findings to non-technical audiences in a clear and understandable manner • Provide training and support to others, sharing best practices and fostering culture of continuous learning • Plan and prioritise work to ensure on time delivery of tasks
Requirements
• Degree in Mathematics, Statistics, Computer Science, Engineering or a related field • Ideally experienced as a Data Analyst, with expertise in data manipulation, analysis, and visualisation using industry standard frameworks, tools and techniques • Knowledge of data engineering concepts, data pipeline development, ETL processes, data lake and data warehousing technologies • Proficiency in working with cloud platforms and familiarity with distributed computing frameworks • Data modelling skills (including 3NF and dimensional modelling among others) • Good knowledge of relation database technologies and concepts • Excellent analytical and problem-solving skills with a keen attention to detail • Good verbal and written communication skills with the ability to collaborate across teams and present findings to stakeholders • Experience with machine learning techniques and frameworks is a benefit • Ability to work both independently and collaboratively in a dynamic environment • Strong customer focus and stakeholder skills • Ability to prioritise tasks and work effectively in a fast-paced environment
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