At a Glance
- Tasks: Design and develop data pipelines and applications using Python and AWS.
- Company: Join an innovative tech team focused on data science.
- Benefits: Competitive salary, flexible work, and opportunities for professional growth.
- Other info: Inclusive environment with support for all candidates.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Strong Python skills and experience with AWS services required.
The predicted salary is between 60000 - 75000 £ per year.
- Software Engineer (Python & AWS) - Data Science Focus
- About the Opportunity
- We're looking for a talented Software Engineer with a strong interest in data and data science to join an innovative technology team.
- This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning.
You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable insights.
- What You'll Be Doing
- Designing and developing data pipelines, ETL processes and backend services using Python.
- Building and maintaining APIs and microservices that deliver data products to internal and external users.
- Working with large and complex datasets
- Implementing and deploying machine learning models and statistical analysis into production environments.
- Designing and managing AWS cloud infrastructure to support data and application workloads
What We're Looking For
- Strong Python development experience, ideally with exposure to libraries such as Num Py, Pandas or Scikit-learn.
- Experience building data pipelines and working with structured and unstructured data.
- Experience working with AWS services such as S3, Lambda, EC2, RDS and Glue.
- A solid understanding of statistics and applied mathematics.
- The ability to understand, interpret and extend complex algorithms and business logic.
- A strong grounding in software engineering principles, including testing, code quality and design patterns.
- Experience with Git, CI/CD pipelines and Agile development practices.
Desirable Skills
- Experience working with time-series, geospatial, sensor or other complex datasets.
- Exposure to machine learning or deploying ML models into production.
- Familiarity with frontend technologies such as React and Type Script.
- Experience with infrastructure as code, such as Terraform or Cloud Formation.
- AWS certifications would be beneficial
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.
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Python & AWS Software Engineer - Data Science Focus employer: Adecco
Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.
StudySmarter Expert Advice🤫
We think this is how you could land Python & AWS Software Engineer - Data Science Focus
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Adecco or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Adecco.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Adecco.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Adecco that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Python & AWS Software Engineer - Data Science Focus
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Adecco.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Adecco and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Adecco
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Adecco uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
