Infrastructure Engineer

Hays
Bournemouth
1 week ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Infrastructure Engineer, Simulation

Montai Therapeutics | Cambridge, MA Senior Data Infrastructure Engineer

Infrastructue Engineer

Research Engineer, Data (Foundational Research, Machine Learning)

Agentic Engineer

Research Engineer, Data (Foundational Research, Machine Learning)

Hays Bournemouth, England, United Kingdom

Senior Recruitment Consultant | Hays Technology

10-Month Contract

3 days a week on-site in Bournemouth

Up to £550 p/d Inside IR35

Your new company

Join a leading global financial services organisation that offers solutions to the world's most important corporations, governments, and institutions. Experience a dynamic and inclusive work environment where your skills and expertise will be valued and rewarded.

Your new role

As an Infrastructure Engineer on a 10-month contract basis, you will develop and design software solutions using AWS services, with a focus on database products. You will deliver system design, application development, testing, and ensure operational stability. You will also manage and support large-scale AWS production workload infrastructure, applying an advanced understanding of AWS services for traditional compute, containerisation, and serverless architectures.

What you'll need to succeed

  • Minimum of 5+ years of experience in developing and designing software using AWS services, especially database products.
  • Hands-on experience in delivering system design, application development, testing, and operational stability.
  • Proficiency in coding with modern scripting languages and infrastructure as code practices.
  • Expertise in Python and Terraform is essential.
  • Experience in delivering and supporting large-scale AWS production workload infrastructure.
  • Advanced understanding of AWS services for traditional compute, containerization, and serverless architectures.
  • Expert-level experience with developmental toolsets including Jira, BitBucket, and Confluence.
  • Proven experience in leading technology projects.
  • Proficiency in automation and continuous delivery methods.
  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • At least one AWS Certification (Solution Architect Professional, Developer, and/or Data Engineer).
  • Terraform Certified Associate Certification.

What you'll get in return

You will have the opportunity to work on cutting-edge projects and collaborate with a team of talented professionals. This organization offers a dynamic and inclusive work environment where your skills and expertise will be valued and rewarded.

Seniority level

Not Applicable

Employment type

Contract

Job function

Information Technology

Industries

Banking and Financial Services

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 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.