Data Engineering Consultant

Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit a data engineer with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets.
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
Contribute to the development and maintenance of T&Ts documentation and processes
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.

Employment type
Full-time

Work arrangement
No