Data Engineering Consultant
Data Engineering Consultant
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Job Description
Job Description
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 enduser 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
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 multidisciplinary teams including software engineers DevOps and infrastructure teams data scientists etc.
Additional Information :
Our inspired people share our vision and mission. We provide a great place to work where each person has the opportunity and voice to affect change.
We want our people to succeed both in work and life. To support this we promote a healthy productive and flexible working environment that respects worklife balance.
Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.
Please find out more about us at control responsibilities may be part of this role which are to be adhered to where applicable.
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It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time.
Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal email accounts are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend there must be a formal written agreement in place and the agency must be invited by the Recruitment Team to submit candidates for review.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
