Senior Data Engineer at SkyCell AG

, , India -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Services, Power BI, Data Pipelines, SQL, Data Transformation, DAX, Python, Data Governance, Database Optimization, Data Security, Data Analysis, Cross-functional Collaboration, Technical Leadership, Mentoring, Data Integration, NoSQL

Industry

Logistics;Transportation;Supply Chain and Storage

Description

We're looking for a Senior Data Engineer to design and build scalable data solutions using Azure Data Services, Power BI, and modern data engineering best practices. You'll work across teams to create efficient data pipelines, optimise databases, and enable smart, data-driven decisions. If you enjoy solving complex data challenges, collaborating globally, and making a real impact, we’d love to hear from you. Be a part of our Data Management & Reporting team and help us deliver innovative solutions that make a real impact. At SkyCell, we're on a mission to change the world by revolutionizing the global supply chain. Our cutting-edge temperature-controlled container solutions are designed to ensure the safe and secure delivery of life-saving pharmaceuticals, with sustainability at the core of everything we do. We’re a fast-growing, purpose-driven scale-up where you’ll make an impact, feel empowered, and thrive in a diverse, innovative environment. Why SkyCell? · 🌱 Purpose-Driven Work: Make a real difference by contributing to a more sustainable future in global logistics and healthcare. · 🚀 Innovation at Heart: Work with cutting-edge technology and be at the forefront of supply chain innovation. · 🌎 Stronger together: Join a supportive team of talented individuals from over 40 countries, where we work together every step of the way. · 💡 Growth Opportunities: We believe in investing in our people – continuous learning and development are key pillars of SkyCell. · 🏆 Award-Winning Culture: Join a workplace recognized for its commitment to excellence with a ‘Great Place to work’ award, as well as a Platinum Ecovadis rating highlighting our sustainability and employee well-being. What You'll Do: Design, build, and maintain scalable data pipelines and databases using Azure Data Services for both structured and unstructured data Optimise and monitor database performance, ensuring efficient data retrieval and storage Develop, optimise, and maintain complex SQL queries, stored procedures, and data transformation logic Develop efficient workflows, automate data processes, and provide analytical support through data extraction, transformation, and interpretation Create and optimise Power BI dashboards and models, including DAX tuning and data modelling; explore additional reporting tools as needed Integrate data from multiple sources and ensure accuracy through quality checks, validation, and consistency measures Implement data security measures and ensure compliance with data governance policies Investigate and support the business in providing solutions for data issues Collaborate with cross-functional teams, contribute to code reviews, and uphold coding standards Continuously evaluate tools, document data flows and system architecture, and improve engineering practices Provide technical leadership, mentor junior engineers, and support in hiring, onboarding, and training What You'll Bring: Bachelor’s degree in Computer Science or a related field (Master Degree is a plus) Proven expertise in designing and implementing data solutions using Azure Data Factory, Azure Databricks, and Azure SQL Database; certifications are a plus Strong proficiency in SQL development and optimization, good knowledge of NoSQL databases Extensive experience in developing complex dashboards and reports including DAX Knowledge of at least one data analysis language (Python, R, etc.) Knowledge of SAP Analytics Cloud is advantageous Ability to design and implement data models to ensure efficient storage, retrieval, and analysis of structured and unstructured data What's In It For You? · ⚡ Flexibility & Balance: Flexible working hours and work-life balance allow you to tailor work to fit your life. · 🌟 Recognition & Growth: Opportunities for career advancement in a company that values your contributions. · 💼 Hybrid Workplace: Modern workspaces (in Zurich, Zug and Hyderabad as well as our Skyhub in Basel) and a remote-friendly culture to inspire collaboration amongst a globally diverse team. · 🎉 Company-wide Events: Join us for company events to celebrate successes, build teams, and share our vision. Plus, new joiners experience SkyWeek, our immersive onboarding program. · 👶 Generous Maternity & Paternity Leave: Support for new parents with competitive maternity and paternity leave. · 🏖️ Annual Leave & Bank Holidays: Enjoy a generous annual leave package, plus local bank holidays to recharge and unwind. Ready to Make an Impact? We’re not just offering a job; we’re offering a chance to be part of something bigger. At SkyCell, you’ll help build a future where pharmaceutical delivery is efficient, sustainable, and transformative. Stay Connected with SkyCell Visit http://www.skycell.ch and explore #WeAreSkyCell on LinkedIn How to Apply Simply click ‘apply for this job’ below! We can’t wait to meet you and discuss how you can contribute to our mission! Please note, we are unable to consider applications sent to us via email. If you have any questions, you can contact our Talent Team (talent@skycell.ch). SkyCell AG is an equal opportunity employer that values diversity and is committed to creating an inclusive environment for all. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, gender identity, age, disability, or any other legally protected characteristic. For this position, if you are not located in, or able to relocate (without sponsorship) to one of the above locations, your application cannot be considered.

Responsibilities

Design and build scalable data pipelines and databases using Azure Data Services. Collaborate with cross-functional teams to optimize database performance and enable data-driven decisions.