Senior Data Engineer (remote, m/f/d)

at  SkyCell AG

Born from a single question, innovation is in our DNA. Having recently celebrated our 10-year anniversary, we are a diverse and quality-conscious company, which has set itself the goal of transporting temperature-sensitive medicines in a more reliable and sustainable way. Long story short, we help save lives and preserve the environment.
Our goal? To continue to advance towards zero loss in the pharma supply chain, worldwide.
If you are an experienced and versatile Senior Data Engineer with strong skills in designing, building, and maintaining scalable data pipelines, databases, and data workflows, while ensuring data quality, security, and compliance - this could be the role for you:

WHY SKYCELL:

We are looking for people who challenge the status quo and thrive on making a difference to people and the world around us. That’s where our SkyMind Cloud Development team play a pivotal role and you could be a part of it.
SkyMind’s Cloud Development team builds a next-generation visibility platform that allows our customers (mainly pharma companies, but also logistics service provider) to monitor the temperature and position of their shipments in real-time. They combine this with sophisticated risk assessment capabilities, alert functionality and simulation models that allow predictions of potential issues, e.g., because a container was forgotten on a runway in Dubai. The team use modern, standard technology, constantly optimize our development processes, and have close and direct interaction with our product management function.

• Design, build, and maintain scalable data pipelines to collect, process, and store data from diverse sources
• Design, develop, and maintain databases to store and organize large volumes of structured and unstructured data
• Optimize and monitor database performance, ensuring efficient data retrieval and storage
• Develop efficient workflows and automate business processes around data
• Provide analytical support by extracting, transforming and interpreting data from various data sources
• Develop and maintain interactive dashboards
• Integrate and manage data from multiple data sources and ensure data consistency and quality
• Implement data quality checks and validation processes to ensure accurate and reliable data
• Implement data security measures and ensure compliance with data governance policies
• Investigate and support the business in providing solutions for data issues
• Collaborate directly with the business stakeholders to implement solutions addressing their needs
• Collaborate with cross-functional teams, including data scientists, analysts, and other software engineers
• Participate in code reviews and enforce best practices and coding standards
• Evaluate and recommend new tools and technologies to improve data engineering practices
• Document data engineering processes, data flows, and system architectures clearly and comprehensively
• Act as a technical advisor and provide guidance to other teams and department
• Mentor and guide junior engineers on the team