5 дней назад
Senior Data Engineer (Cloud, Data Integration & Migration)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Cloud, Data Integration & Migration): Designing and supporting 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 warehouses, data lakes, and lakehouses, validating complex migrations, and solving data issues across cloud, on-premise, and third-party systems.
Location: Remote within the United Kingdom. Candidates must have a pre-existing right to work and travel within the UK and be eligible for UK Security Clearance.
Company
develops software and digital services supporting public services, including healthcare, emergency response, transport, policing, housing, 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 implement 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 data mappings and transformation rules, and resolve complex data issues.
Requirements
- Eligibility for UK Security Clearance and pre-existing right to work and travel within the UK are required.
- Demonstrable experience in data engineering and 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.
- Strong knowledge of ETL/ELT design, data warehousing, data lake and lakehouse architectures, data modelling, profiling, quality management, validation, and reconciliation.
Culture & Benefits
- Private medical cover funded for employees, with optional family coverage.
- 25 days of paid holiday with an 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.
- Inclusive working environment with accessibility support during recruitment and employment.
Hiring process
- Offers are subject to satisfactory vetting, references, and occupational health checks.
- Security Check clearance must be current or obtainable.
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