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11 дней назад

Senior Data Engineer (Cloud, Data Integration & Migration)

Формат работы
remote (только United_kingdom)
Тип работы
project
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Cloud, Data Integration & Migration): Designing and delivering scalable cloud-based data solutions across AWS and Azure with an accent on ETL/ELT pipelines, data integration, migration, and data quality. Focus on building data warehouse, data lake, and lakehouse architectures, validating complex migrations, and solving data issues across large and complex datasets.

Location: Remote within the United Kingdom; candidates must have pre-existing UK right to work and be eligible for UK security clearance.

Company

hirify.global develops integrated digital solutions supporting public services including healthcare, emergency response, transport, policing, and local authorities.

What you will do

  • Design, develop, and maintain scalable ETL and ELT pipelines.
  • Build data integration solutions across cloud, on-premise, and third-party systems.
  • Design and deliver data migration solutions covering extraction, transformation, validation, reconciliation, and cutover.
  • Develop and optimise data warehouse, data lake, and lakehouse solutions.
  • Perform data profiling, root cause analysis, and data quality assessments.
  • Collaborate with technical and business stakeholders, document technical solutions, and resolve complex data issues.

Requirements

  • Eligibility for UK Security Clearance is required.
  • Pre-existing right to work and travel within the UK is required; documentary evidence will be requested.
  • Demonstrable data engineering experience, including complex data migration and data integration projects.
  • Strong experience with large and complex datasets, AWS, and Microsoft Azure.
  • Hands-on experience with PostgreSQL, MySQL, Microsoft SQL Server, Oracle, Amazon Redshift, and Amazon Athena.
  • Strong knowledge of ETL and ELT design, data warehousing, data lakes, lakehouses, data modelling, profiling, quality management, validation, and reconciliation.

Nice to have

  • Experience with AWS Glue, Amazon S3, AWS Lambda, AWS Step Functions, and Amazon QuickSight.
  • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.

Culture & Benefits

  • Three- to six-month contract within the Data Services team.
  • Work supporting public-sector services used across healthcare, emergency response, transport, policing, housing, and local government.
  • Inclusive equal-opportunities employer with accessibility adjustments available throughout recruitment.
  • Offers are subject to satisfactory vetting, references, and occupational health checks.
  • A Disclosure and Barring Service check may be required depending on the role.

Hiring process

  • Offers are conditional on security vetting, references, and occupational health checks.
  • Documentary evidence of UK right to work and travel will be required.

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