Data Engineer
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Location:
London
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Sector:
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Job type:
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Salary:
£70000 - £90000 per annum
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Contact:
Kyle Rossi
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Contact email:
KRossi@mcgregor-boyall.com
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Job ref:
KR0273_1654860439
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Published:
18 days ago
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Expiry date:
2022-07-10
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Startdate:
ASAP
Data Engineer
Permanent, Full Time
London, Hybrid
Up to £90,000
Role Description
This Data Engineer will be a member of the Group Data Office's central global team and will be responsible for the following:
- Provide technical support in development and delivery of data catalogue, lineage and data classification, including, but not limited to automation of the same
- Develop data pipelines for ingestion, storage and transformation
- Data acquisition and migration to public Cloud enterprise data warehouse, including conformance to enterprise data model
- Creation and maintenance of enterprise data views in enterprise data warehouse
- Continuously seek opportunities to enhance data quality and reliability
- Develop business intelligence and reporting solutions, algorithms ad prototypes for functional and enterprise use, including but not limited to testing, deployment and maintenance
- Develop consistent documentation standards for technical processes
- Ensure comprehensive documentation of Group Data Office technical processes in line with standards
Knowledge and Skills Requirements
- Previous experience in data engineering or similar roles, with proven track record for operational and change management
- Operational familiarity with metadata management, data quality, data stewardship, data protection and experience in the use of associated technologies (data catalog, data quality management platforms)
- Knowledge of Cloud based big data frameworks such as data lake, relational, Graph and other noSQL databases
- Excellent communication (verbal, written, listening) and interpersonal skills
- Able to analyse complex situations and derive workable actions
- Able to constructively challenge requirements and current state to increase overall value to the firm
- Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams
Education and experience
Wide variety of degrees will be considered, however degree in Computer Science, IT or similar field to Masters and data engineering certification will be advantageous
Previous experience as a data engineer or similar role is essential.
- Technical expertise with data models, data mining and segmentation
- Proficient in relevant programming languages (e.g. Python, R, Java)
- Hands on experience with SQL database design
If interested, feel free to apply and get in touch with any questions!
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
