Our client is seeking a highly skilled Data Engineer / Data Platform Specialist to design, build, and optimise enterprise-grade data ecosystems that enable advanced analytics, AI enablement, and business intelligence delivery. This role will drive end-to-end data platform engineering — spanning data architecture, platform administration, automation, data quality governance, and cross-functional collaboration.

About the Client

Our client is a leading national research organisation known for driving innovation, scientific excellence, and impactful technological advancement. With a strong focus on applied research and industry collaboration, they play a pivotal role in shaping future-ready solutions across sectors including healthcare, engineering, digital technologies, sustainability, and advanced manufacturing.

The assignment is offered as an initial two-year contract, with strong potential for continuity and long-term engagement, based on performance and project pipeline. Candidates joining this organisation benefit from:

• exposure to cutting-edge research environments,
  
  
• collaboration with highly skilled experts and global stakeholders, and
  
  
• the opportunity to contribute to meaningful technological outcomes that create societal and economic value.

Key Responsibilities

A. Data Architecture & Engineering

• Design and implement robust data pipelines using Azure Data Factory (ADF) and ELT/ETL best practices.
• Build and optimise data marts to support enterprise dashboards and analytics tools (e.g., Power BI).
• Optimise Snowflake environments for performance, cost, and scalability.
• Partner with IT Shared Services to ensure compliance and enterprise security standards.

B. Platform Administration & Automation

• Administer Snowflake accounts, roles, warehouses, and data-sharing configurations.
• Integrate metadata and lineage flows into Alation to enhance discoverability and governance.
• Implement automation pipelines and CI/CD practices for ingestion, validation, and deployment.

C. Data Quality & Reliability

• Develop and maintain validation checks, profiling, and error-handling logic within pipelines.
• Collaborate with Data Analysts and Scientists to ensure datasets meet analytical and AI model requirements.

D. Collaboration & Mentorship

• Partner with Business Analysts and the AI team to operationalise dashboards and machine-learning outputs.
• Mentor junior engineers in coding, documentation, and data-architecture best practices.

Qualifications & Experience

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related discipline.
• At least 8–10 years of experience in data engineering or platform development roles.
• Hands-on experience with Snowflake, Azure Data Factory, and metadata catalogues (e.g., Alation, Collibra).
• Proficient in SQL, Python, and data-orchestration tools (e.g., Airflow, dbt).
• Strong knowledge of data modelling, cloud-warehouse architecture, and CI/CD automation.
• Familiar with public-sector data governance and compliance.
• Demonstrated ability to collaborate across analytics, AI, and IT teams.

Next steps:

• Drop your resume and contact us to follow-up, or send your resume to tamanna.bilandi@adecco.com with current , expected salary and official notice period 
• Email Topic: Data Engineer

Tamanna Bilandi
Direct Line: 8463 2870
EA License No: 91C2918
Personnel Registration Number: R2096241