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Allica Bank
Allica Bank
501 – 1 000 Darbuotojai
B2BBankininkystėFintech
„Allica Bank“ yra Jungtinės Karalystės verslo bankas, skirtas įsitvirtinusioms mažoms ir vidutinėms įmonėms bei profesionalių paslaugų įmonėms. Bankas siūlo verslo einamąsias sąskaitas, susietas taupomąsias sąskaitas ir specializuotą finansavimą, įskaitant komercinio nekilnojamojo turto paskolas, turto finansavimą, augimo finansavimą, trumpalaikį tarpinį finansavimą, kredito linijas ir sąskaitų faktūrų finansavimą. Bankas derina skaitmeninius pinigų valdymo įrankius ir apskaitos integracijas su Jungtinėje Karalystėje dirbančių ryšių su klientais vadybininkų teikiama asmenine pagalba, todėl aptarnauja įmones, kurioms reikia ir praktiškų bankininkystės technologijų, ir patyrusių finansinių patarimų.
LinkedIn
Darbai įmonėje

Senior Data Engineer - Hybrid, India

Build dependable data pipelines, Power BI models, and AI-enabled self-service data capabilities. Help Allica Bank support regulated financial-services operations with accurate, trusted reporting.

INIndijaHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
AzureETLSQL

Aprašymas

  • Manage data flows from source systems through reporting and actionable business insight
  • Develop and support dependable ETL/ELT pipelines
  • Extract, transform, and load information from diverse data sources
  • Apply data validation, cleansing, governance, and quality controls
  • Create tailored datasets and reports in partnership with business stakeholders
  • Maintain data dictionaries, pipelines, SFTP feeds, and Google Sheets connections
  • Design and manage Power BI semantic models that support dependable self-service BI
  • Take ownership of recurring data processes, including CAIS, DCM, and data tapes
  • Administer Power BI and Synapse Analytics tools, covering configuration, security, access, maintenance, upgrades, and training
  • Maintain observability and address issues, alerts, incidents, and business-as-usual requests
  • Help business users query data in natural language using AI
  • Enable data-informed decisions through BI models, reports, and dashboards
  • Deliver training and share knowledge to promote business self-service

Reikalavimai

  • Fluent English communication
  • Availability to work UK business hours
  • At least five years of experience in data engineering or business intelligence
  • Strong SQL capability
  • Experience with Azure Synapse or Azure Data Factory
  • Proficiency with Power BI
  • Background in a regulated sector such as financial services or healthcare, where audit trails, data accuracy, compliance, and reporting deadlines are important
  • Applicants must live in the UK
  • In most cases, applicants must already be UK residents to qualify for UK sponsorship eligibility

Privalumai

  • Comprehensive onboarding and ongoing professional development
  • Flexible working options
  • Regular team and social events
  • Pension contributions
  • Discretionary bonus opportunity
  • Private health insurance
  • Life assurance coverage
  • Family-friendly policies, including enhanced maternity and paternity leave

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