Python Developer

At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

Our clients have the opportunity to earn R&D credits that can be used towards our areas of expertise: Data, Governance, and Cloud Engineering, allowing us to drive customer-focused innovation. Our work extends across both the public and private sectors, providing our colleagues with a diverse and interesting landscape of experience.

Amber Labs was founded on three key principles:A people-first internal culture, with diverse investments and exciting opportunities for our team, and a partnership structure that ensures everyone has a chance to share in the success of the company.Constant iteration to identify opportunities to develop artifacts, accelerators, and automation solutions that allow for rapid deployment of highly technical cloud or on-premises solutions for our clients.Consistent investment in our ADM (Amber Labs Delivery Methodology, underpinned by Agile Methodology) to ensure maximum velocity, quality, and value.With demand for our services at an all-time high and continuous growth in our market sectors, we are embarking on a major recruitment drive. We are eager to recruit a talented development lead.

Key skills:5+ years of professional experience working as a Software Engineer, with a strong focus on Python, R programming, and Data Science.Extensive knowledge of Python and R libraries, frameworks, and toolkits commonly used in data science, machine learning, and statistical analysis.Proven experience in developing and maintaining scalable and robust software applications using Python and R.Solid understanding of software engineering principles, design patterns, and best practices.Proficient in version control systems (e.g., Git) and agile development methodologies.Strong problem-solving abilities and a detail-oriented mindset.Experience with data science methodologies, including exploratory data analysis, statistical modeling, and machine learning techniques.Familiarity with data visualization tools (e.g., Matplotlib, ggplot, Tableau) and data manipulation libraries (e.g., Pandas) in Python and R.Excellent communication skills, both verbal and written, with the ability to effectively collaborate with cross-functional teams.Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.Familiarity with other programming languages (e.g., Java, C++) and database technologies (e.g., SQL, NoSQL) is an advantage.

Company BenefitsPerkboxBonus schemePrivate Medical InsuranceAway Days / Team SocialsFree Beverages in the office including a Barista

Interview Process2 Stage interview process.Two 30 minute technical interviews.

Key Skills

• AWS
• Java
• Python
• SQL
• Azure
• Machine Learning