Data Engineer with Python

Company Description

Mobica | Be Extraordinary_ 
We are Mobica, a global software services company headquartered in Manchester, UK, with offices across Europe and the USA. We partner with businesses across multiple industries, from aerospace to finance and semiconductors to automotive, providing them with access to engineering expertise across the entire technology stack.
The Mobica Way

• Well-known Clients and Projects focused on the Technologies of Tomorrow - Our expertly crafted software underpins many of today’s amazing customer experiences. We work with well-known global brands to develop widely used tech. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary. 

• Empowered Mobicans driving their Careers - We empower our people to develop their skills, push boundaries and move towards new heights. As a Mobican, you’ll have ample opportunities to advance, learn and grow towards your desired career outcomes.

• Ideas are prioritised over Hierarchy and Biases - In Mobica, you are listened to and valued. We’ve built an environment that fosters open communication. We've made it our mission to ensure all team members feel welcome, protected from discrimination and have access to equal opportunities. 

We believe that employees should be happy - At Mobica, you can define precisely how you would like to work - at home or in the office - we will create the environment for that. You’ll get access to various virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and make new friends. 

Job Description

We are looking for a Data Engineer with strong Python skills and a focus on data analysis. In this role, you will work closely with cross-functional teams to describe and document data flows and pipelines, format data, and inform data structures. You will also analyze business requirements and translate them into project requirements, ensuring the effective implementation of data solutions.

Key Responsibilities:

• Describe and document data flows and data pipelines
• Format data and describe data structures
• Analyze business requirements and translate them into project requirements
• Develop and maintain data pipelines using Python
• Collaborate with data scientists, engineers, and analysts to ensure data solutions meet business needs
• Optimize data pipelines for performance and scalability
• Troubleshoot and resolve data-related issues
• Document findings, results, and system improvements

Qualifications

Must-Have:

• Minimum 4 years of development experience, with strong proficiency in Python
• Good knowledge of Python for scripting and development
• Excellent analytical and problem-solving skills
• Good communication skills with fluency in English
• Experience in describing and documenting data flows and data pipelines
• Ability to analyze business requirements and translate them into project requirements

Nice-to-Have:

• Familiarity with data pipeline construction and optimization
• Knowledge of data visualization tools and techniques
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Understanding of data structures and data formatting
• Hands-on experience with running experiments and documenting results
• Exposure to deep learning concepts and applications
• Experience with Java or R programming