Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Infrastructure Engineer/ Data Engineer

Adecco
Balerno
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Analytics Engineer/Data Engineer(for Semantic Layer)

Senior Data Engineer - Data/Backend

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Assistant Data Engineer (Cabling)

Senior Data Engineer

Role

: Infrastructure Engineer/ Data Engineer

Location : Edinburgh (2 days week on site)


Duration : 3 Months


Status : Inside IR35


Hours : 35-40/Week


Rate: Circa £/Day



Experience and skills Required:



Technical knowledge of Database Activity Monitoring (DAM) toolsets with expertise in developing ingestion methodologies and a keen focus on automation.
Knowledge and deep understanding of other technologies (e.g. Cloud, Firewalls, Proxies, IDS/IPS).
Knowledge of Sox security logging requirements, particularly with a focus on direct database access.
focus with a demonstrable systematic and analytical approach to problem solving.
Proven communication skills and the ability to build strong relationships.
Knowledge of Agile methodologies
Use data analytics solutions to drive innovation and enable the cyber threat management strategy.
Develop and implement security controls which protect from threats.
Challenge ineffective processes, actively suggest improvements to your Squad Lead and Engineering Manager.


Candidates will ideally show evidence of the above in their CV to be considered.



Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.



Pontoon is an employment consultancy and operates as an equal opportunity's employer.


To speak to a recruitment expert please contact

MoreInformation

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.