Data Insights Expert
2 days ago
Unlock the Power of Data Engineering
We are excited to be searching for a talented Data Insights Expert to join our team at Comunidadlift. As a key member of our Men's Technical division, you will play a crucial role in designing, implementing, and managing data pipelines, tables, views, and processes within Google Cloud Platform's BigQuery environment.
The successful candidate will collaborate closely with our performance technology team to ensure the efficient flow of data, enabling the creation of insightful reports and supporting data-driven decision-making. Your expertise in GCP and data engineering will be critical in shaping our data strategy.
This is an exciting opportunity to work with a world-class team, leveraging cutting-edge technologies to drive business growth and success. If you are passionate about data engineering and possess a strong track record in this field, we encourage you to apply.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain data pipelines that efficiently collect, process, and transform data from various sources into BigQuery.
- Table and View Management: Create and manage tables and views in BigQuery to ensure data is structured, accessible, and optimized for analysis.
- Performance Optimization: Collaborate with the performance technology team to optimize data pipelines and processes for maximum speed and efficiency.
Requirements:
- Proven track record in data engineering, with a focus on designing and optimizing data pipelines.
- Strong SQL and Python programming skills.
- Experience with data modelling and database design.
- Bachelor's degree in Computer Science, Data Science, or a related field (Master's degree preferred).
- Knowledge of machine learning and its application in data pipelines (advantageous).
We Offer:
- A competitive salary of £55,000 - £65,000 per annum.
- A comprehensive benefits package, including free private medical cover, contributory pension scheme, and additional leave.
- The opportunity to work with a world-class team and contribute to the development of innovative data solutions.
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