Lead Data Engineer

2 weeks ago

London Area, United Kingdom Opus Recruitment Solutions Full time

Lead Data Engineer:

  • AI company
  • £70k Base Salary plus Bonus


About the Role


I am exclusively supporting an AI company who are looking for a to take on board a Lead Data Engineer to define the long-term vision and lead execution of the data platform.

As Data Engineer you will play a critical role in designing, developing, and maintaining our data infrastructure.


Responsibilities:

• Develop and maintain data pipelines and ETL processes to efficiently extract, transform, and load data from various sources into our data ecosystem.

• Design, develop, and deploy machine learning models and advanced analytics solutions to solve complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

• Build interactive dashboards and reports using Power BI to visualise data insights and trends for stakeholders at all levels.

• Perform data analysis and exploratory data analysis (EDA) to uncover patterns, correlations, and insights that drive business value.

• Stay up-to-date with the latest advancements in data science, AI, and BI technologies, and evaluate their potential impact on our business.

• Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and development.


Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

• Proven experience working as a data engineer, data scientist, or AI engineer in a fast-paced environment.

• Strong proficiency in programming languages such as R and Python, with experience in building and deploying machine learning models and statistical analysis.

• In-depth knowledge of Business Intelligence tools, particularly Power BI, including data modelling, DAX, and report/dashboard development.

• Hands-on experience with data warehousing concepts, SQL, and NoSQL databases.

• Solid understanding of cloud platforms (e.g., Azure, AWS, GCP) and experience with cloud-based data services and solutions.

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