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Cloud Data Architect

2 months ago

Edinburgh, Edinburgh, United Kingdom ADLIB Full time
Job Description: Cloud Data Architect

We are seeking an experienced Cloud Data Architect to join our team at ADLIB. The ideal candidate will have a strong background in cloud computing and data engineering, with expertise in designing and implementing scalable data architectures. This role offers the chance to work with cutting-edge technologies like Databricks, Azure, and AWS, and to contribute to the development of our company's data strategy.

Key Responsibilities:
  • Design and implement scalable data architectures on cloud and on-prem platforms.
  • Work collaboratively with stakeholders to leverage data in new, innovative ways that drive business intelligence and enhance customer insights.
  • Lead the design and execution of agile projects, using a fail-fast philosophy to streamline success.
  • Strategically evolve the company's data architecture to meet business demands while maintaining the highest standards of data quality and accessibility.

Requirements:
  • Minimum of 3 years' experience in data engineering.
  • Expertise in programming with Python and SQL.
  • Strong background in Azure and/or AWS, with a solid understanding of Databricks.
  • Proven ability to develop scalable ETL processes on big data platforms and manage large datasets.

What We Offer:

A competitive salary up to £70,000 plus a performance-related bonus scheme (9%). Our comprehensive benefits package is crafted to ensure that you and your loved ones are well cared for. This includes an exceptional pension scheme with up to 14% employer contributions, which stands as one of the most generous in the industry, and private medical insurance to give you peace of mind regarding your health. Moreover, you'll enjoy 28 days of annual leave plus bank holidays, with the flexibility to buy or sell holiday depending on your needs. Professional development is at the heart of our operations too - we are committed to providing opportunities that foster skill enhancement and career advancement, supported by a dynamic and inclusive workplace culture. Additionally, our hybrid working model (2 days in office) offers the flexibility to blend work from home and office settings, helping maintain a healthy work-life balance.

If you're looking for a challenging role where you can make a significant impact and advance your career in data engineering, apply today with an up-to-date CV.