Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

DevOps Engineer - Minerva Platform

Telford
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Data Migrations)

Data Engineer

Senior Data Engineer

Lead Snowflake Engineer

Data Engineer

Azure Data Engineer

Job Title: Visualisation Engineer - Minerva Platform
Duration: 6 Months
Location: Telford, Hybrid - 2 days per week on site
Clearance Required: Active SC Cleared (preferably HMRC)
Rate: £500 per day - PAYE via Umbrella only

Skills: SAS, SAS Viya, Jira, Engineering, Pentaho, Denodo, Talend, SAS Web Report Studio
This role will form part of a new scrum team within Minerva Platform to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.

Key Responsibilities:

Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms.
Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions.
Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
Ensure data quality, governance, and security standards are upheld across all solutions.
Troubleshoot and resolve complex data issues and performance bottlenecks.
Key Skills:

SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
Platform LSF, Jira, Platform Support.
GIT.
Strong expertise in ETL tools: Pentaho, Talend.
Experience with data virtualisation using Denodo.
Proficiency in SAS for data analytics and reporting.
Oracle (good to have).
Solid understanding of Agile and Scrum frameworks.
Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
Strong SQL and data modelling skills.
Excellent problem-solving, communication, and leadership abilities.
Key Qualifications:

Proven track record of data projects and teams.
Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Engineering Jobs: The Best Months to Apply & Why

The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.

Pre-Employment Checks for Data Engineering Jobs: DBS, References & Right-to-Work and more Explained

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Why Now Is the Perfect Time to Launch Your Career in Data Engineering: The UK's Data Infrastructure Revolution

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.