SR2 | Socially Responsible Recruitment | Certified B Corporation | Staff Software Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Staff Software Developer | Hybrid | North Wales | £100,000 | Python | AWS | Data


Location:NorthWales - hybrid (2:3)

Salary:£100,000 + benefits



Tech Stack:

  • Python
  • AWS - Lambda
  • CI/CD
  • Terraform



Are you an experienced, motivated, and ambitious Software Engineer looking to grow your career through a technical leadership opportunity in a market-leading company?



We are looking to bolster one of our clients' leadership structures and find a Staff Software Developer to build and lead a high-performing engineering team. They are rapidly advancing product development and creating the fastest-evolving platform in their industry. With a focus on frequent releases, innovative problem-solving, and maintaining a competitive edge in an expanding market, they are seeking a Staff Software Developer to join their expanding team and business.



With huge funding and ambitious plans for growth, this is a fantastic time to join a growing company with a career-defining opportunity.



Requirements for Success:

  • Practical experience with modern data platform architectures.
  • Advanced proficiency in Python development and hands-on experience with AWS.
  • Solid background in building CI/CD pipelines, particularly with GitHub Actions.
  • Experience with Infrastructure as Code, preferably using Terraform.
  • Ability to design and build resilient, scalable, and efficient data pipelines.
  • Familiarity with serverless architecture, design patterns, and best practices.
  • Exceptional communicator —understands the importance of people in the engineering team and takes pleasure in coaching and helping others develop their skills and advance their careers.



The ideal candidate for this role will be a highly motivated and experienced Software Engineer with a passion for both technical excellence and leadership. As a Staff Software Developer, you will not only have the opportunity to apply your expertise in Python, AWS, and modern data architectures but also take on a leadership role in guiding and mentoring high-performing engineering teams.



You will thrive in a fast-paced, rapidly evolving environment, where your ability to problem-solve creatively and drive continuous improvement will directly impact the success of a market-leading company. With a collaborative mindset and strong communication skills, you will be a natural at fostering a culture of growth and development, helping your colleagues refine their skills and advance their careers. You will also be someone who enjoys taking ownership, working autonomously, and inspiring others to reach their full potential in a dynamic, ambitious environment.



Benefits:

  • Flexible, hybrid working
  • 33 days holiday (incl. bank holidays) + Birthday off
  • Private health insurance
  • Life insurance
  • Opportunity for someone eager to take the next step in their career while making a tangible impact on the future of a high-growth organisation




Interested and ready to take your Development career to the next level? Get in touch at or drop me a call for a confidential chat at .



Staff Software Developer | Hybrid | North Wales | £100,000 | Python | AWS | Data

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.