Jobs / Low***
Data Engineer
Low*** · London, ENG, United Kingdom
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London, ENG, United KingdomRemote
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
DESCRIPTION Contract type: Permanent Hours: 37.5 Salary: circa £62,000 depending on experience Location: Canary Wharf WFH policy: Employees are required to attend the office 2 days/week Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.
Benefits
As if contributing to and supporting work that makes life better for millions waThat may be available depending on the role include:Annual performance based bonus, up to 10%25 days annual leave, plus eight bank holidaysUp to 8% pension contributionFinancial support and time off for study relevant to your role, plus a professioEmployee referral scheme (up to £1500), and colleague recognition schemeFamily friendly policies, including enhanced maternity leave and shared parentalFree, confidential employee assistance, including financial management, family cThree paid volunteering days a yearSeason ticket loan and cycle to work schemesFamily savings on days out and English Heritage, gym discounts, cash back and di
Qualifications
- Salary: circa £62,000 depending on experience
- WFH policy: Employees are required to attend the office 2 days/week
- and translate them into effective data engineering solutions.
- Experience building and maintaining reliable, scalable ETL/ELT solutions on big data platforms and working with a variety of data infrastructure
Responsibilities
- Participate in designing, developing and maintaining activities for LCCC DataWarehouse ensuring reliable data across the organisation
- Source, model and provide reliable data in a form that is ready for report/dashboard building
- Follow the data governance standards
- Build and maintain key data governance and management artefacts e.g., Flow Diagram, Data Dictionary.
- Identify patterns, anomalies, and structure of data in preparation for Extract Load and Transformation.
- Perform data validation, quality checks, and reconciliation across source and target systems.
- Define the low-level design of a data warehouse to ensure robustness e.g., restorability, traceability, ease to support, etc.
- Help design and maintain the modern DataWarehouse architecture, implementation, administration, and support
Skills
English
Degrees
Associate
Languages
English
Work schedule
On-call
Industry
BankingEnergyLogisticsManufacturingPublic-sectorRetail
Company size
Smb
Security clearance
Confidential