Live opening · Posted 2 days ago
The key details from the original listing.
Description supplied by the original job listing.
We are seeking an experienced Senior Data Engineer for a 3-6 month contract to join our growing Data Services team. This is a hands-on technical role focused on designing, building, and supporting cloud-based data solutions across AWS and Azure platforms.
The successful candidate will have strong experience in data engineering, data integration, ETL/ELT development, data migration, data quality, and cloud-native analytics platforms. They will work closely with technical and business stakeholders to deliver scalable, secure, and high-quality data solutions.
CANDIDATES MUST BE ELIGIBLE FOR UK SECURITY CLEARANCE FOR THIS ROLE
Key Responsibilities
Design, develop and maintain scalable ETL and ELT pipelines.
Build data integration solutions across cloud, on-premise, and third-party systems.
Design and implement robust data migration solutions, including extraction, transformation, validation, reconciliation, and cutover activities.
Perform data profiling, root cause analysis, and data quality assessments.
Develop and optimise data warehouse, data lake, and lakehouse solutions.
Produce source-to-target mappings, transformation rules, and technical documentation.
Support data governance, security, and compliance requirements.
Work collaboratively with stakeholders to understand requirements and deliver effective solutions.
Troubleshoot complex data issues and implement sustainable solutions.
Essential Skills & Experience
Experience
MUST be eligible for UK Security Clearance
Demonstrable experience in Data Engineering.
Proven experience delivering complex Data Migration and Data Integration projects.
Strong experience working with large and complex datasets.
Experience working across both AWS and Microsoft Azure environments.
Databases & SQL
Strong hands-on experience with:
PostgreSQL
MySQL
Microsoft SQL Server
Oracle
Amazon Redshift
Amazon Athena
Excellent SQL development, optimisation, and troubleshooting skills.
AWS Technologies
Strong practical experience with:
AWS Glue
Amazon Athena
Amazon Redshift
Amazon S3
AWS Lambda
AWS Step Functions
Amazon QuickSight
Microsoft Azure Technologies
Strong practical experience with:
Microsoft Fabric
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Data Engineering
Strong knowledge of:
ETL and ELT design patterns
Data Integration architectures
Data Warehousing
Data Lake and Lakehouse architectures
Data Modelling
Data Profiling
Data Quality Management
Data Validation and Reconciliation
Employment type
Full-time
Work arrangement
Yes
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