Data Engineer - Bristol. Due to growing demand for my clients' Data and Analytics services, we are seeking to recruit a number of senior data engineers

The Role

As part of the role you will:

• Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy
• Understand and translate end-user requirements into designs and delivery plans for effective data solutions
• Design, develop, execute, and maintain highly automated data pipelines using cloud technologies
• Analyse and resolve data quality issues
• Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team
• Identify opportunities for improvement and promote theses through the team
• Actively mentor and develop others in the team and inspire them through commitment and enthusiasm
• Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance
• Take knowledge or experience and translate into new ideas or solutions

Qualifications

Skills required for this role are:

• Proven ability to work with with:
• Databricks
• Azure Data Factory
• Azure Data Lake
• Azure Synapse (and data warehousing approaches) or SSIS
• Azure Analysis Services
• Experience in programming languages such as:
• SQL
• Python
• Spark
• DAX
• A good understanding of Devops practices:
• CI/CD (Azure DevOps preferable)
• GIT and Version Control
• Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.

Desirable:

• MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases
• Data modelling including Kimball
• Container technologies such as Kubernetes and Docker
• Experience translating designs of Azure data solutions into action
• Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies
• Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc.