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обновлено 6 дней назад

Senior Data Engineer (Cloud, Data Integration & Migration)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Engineer (Cloud, Data Integration & Migration) (AWS/Azure): Designing, building, and supporting scalable cloud-based data solutions, ETL/ELT pipelines, integration architectures, and migration workflows with an accent on data quality, governance, and secure analytics platforms. Focus on developing data warehouses, data lakes, and lakehouses, reconciling complex datasets, and solving integration and migration challenges across cloud, on-premise, and third-party systems.

Location: Hybrid, London, England, United Kingdom. Candidates must have a pre-existing right to work and travel within the UK and be eligible for UK Security Clearance.

Company

hirify.global develops software and digital services supporting public services, including healthcare, emergency response, transport, policing, housing, and local government.

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 processes covering extraction, transformation, validation, reconciliation, and cutover.
  • Develop and optimise data warehouses, data lakes, and lakehouse solutions.
  • Perform data profiling, root cause analysis, data quality assessments, and troubleshooting.
  • Collaborate with technical and business stakeholders on requirements, governance, security, compliance, mappings, and technical documentation.

Requirements

  • Eligibility for UK Security Clearance and pre-existing right to work and travel within the UK are required.
  • Demonstrable data engineering experience delivering complex data migration and data integration projects.
  • Experience working with large and complex datasets across AWS and Microsoft Azure.
  • Strong hands-on experience with PostgreSQL, MySQL, Microsoft SQL Server, Oracle, Amazon Redshift, and Amazon Athena.
  • Practical experience with AWS Glue, Amazon S3, AWS Lambda, AWS Step Functions, Amazon QuickSight, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Knowledge of ETL and ELT design, data integration architectures, data modelling, data profiling, data quality management, validation, and reconciliation.

Culture & Benefits

  • Private medical cover funded for employees, with optional family coverage.
  • 25 days of paid holiday with the option to buy or sell days.
  • Life assurance cover of four times basic salary.
  • Group pension plan with employer contributions of up to 8.5%.
  • Flexible benefits and free access to more than 15,000 LinkedIn Learning courses.

Hiring process

  • Offers are subject to satisfactory vetting, references, and occupational health checks.
  • Current or obtainable Security Check (SC) clearance is required.

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