Technical Lead Software Engineer

Adecco
Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Powertrain Software Engineer

Research Software Engineer

Software Engineer

Senior Data Engineer, Consultant [Urgent]

Data Engineer

Technical Lead Software Engineer (JN -112024-403307) Bristol City Centre, Bristol, England

Technical Lead Full Stack Software Engineer

Join a pioneering organisation that is transforming the cyber reinsurance industry through advanced analytics and innovative technology! We’re on a mission to enhance how cyber risk is assessed and managed, and we want you to be a part of this exciting journey.

About the Role:

We are on the lookout for a dynamic and experienced Technical Lead Full Stack Software Engineer to join our team in Bristol. If you have a passion for building data-intensive applications and a knack for leadership, this role is designed for you!

Key Responsibilities:

  • Architect and Develop:Lead the design and development of our cutting-edge cyber reinsurance platform, focusing on features like:
    • Ingestion of reinsurance submissions
    • Policy administration
  • Lead and Inspire:Manage and grow a talented full-stack engineering team, specialising in high-performance computing and large-scale data engineering.
  • Collaborate Across Teams:Work closely with data science and modelling teams to ensure seamless integration of analytical models into our platform.
  • Strategic Scaling:Develop strategies to scale our platform across additional lines of business.
  • Hands-On Contribution:Dive into the codebase, tackle technical challenges, and mentor your team members.

What You Bring:

  • Experience:10+ years in software engineering with a focus on data-intensive applications, particularly in the financial sector. A minimum of 5 years in a leadership role is essential.
  • Technical Expertise:

- Strong full-stack development skills, with hands-on experience in front-end web applications.
- Proficiency in Python and a deep understanding of machine learning and analytics.
- Experience with cloud infrastructure (GCP, AWS, Azure), DevOps practices, Docker, Terraform, Kubernetes, and data lakehouses like Databricks.
- Familiarity with CI/CD pipelines and automated testing frameworks.

  • Leadership Skills:Proven ability to build and lead high-performing teams, fostering collaboration between engineering and data science.
  • Hands-On Aptitude:A willingness to contribute directly to coding and problem-solving.

Skills and Attributes:

  • Strategic Thinker:Align engineering initiatives with business goals.
  • Excellent Communicator:Convey technical concepts clearly to diverse stakeholders.
  • Innovative Mindset:Stay updated with emerging technologies and industry trends.
  • Problem Solver:Tackle complex challenges with strong analytical skills.
  • Team Player:Foster a collaborative and inclusive environment.

Why Join Us?

This is not just another job; it’s an opportunity to lead a talented team while driving innovation in a rapidly evolving industry. If you're ready to take the next step in your career and make a real impact, we want to hear from you!

Apply Today!Your next big adventure awaits!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

#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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.