Supply Chain - Data Specialist

The Straumann Group (SIX: STMN) is a global leader in tooth replacement and orthodontic solutions that restore smiles and confidence. It unites global and international brands that stand for excellence, innovation and quality in replacement, corrective and digital dentistry, including Anthogyr, ClearCorrect, Medentika, Neodent, NUVO, Straumann and other fully/partly owned companies and partners. In collaboration with leading clinics, institutes and universities, the Group researches, develops, manufactures and supplies dental implants, instruments, CADCAM prosthetics, orthodontic aligners, biomaterials and digital solutions for use in tooth correction, replacement and restoration or to prevent tooth loss.

Headquartered in Basel, Switzerland, the Group currently employs more than 11’000 people worldwide. Its products, solutions and services are available in more than 100 countries.

The Straumann Group unites global reach, experience and innovation with passion and a commitment for uncompromising quality, making enhanced dental healthcare available and accessible to customers and patients around the globe. The group unites global and international brands that stand for excellence, innovation, and quality, including Straumann, Neodent, Anthogyr, Medentika, ClearCorrect, Dental Wings and other fully- or partly owned companies and partners.

People and culture are the Straumann Group’s greatest assets; they are the keys to high performance and sustainable success. We strive for a culture that builds trust and collaboration, fosters diversity, embraces change, promotes agility, learning and innovation, creates opportunities, allows people to make mistakes and encourages them to take both responsibility and ownership. The fundamental driver of our culture is the player-learner mindset, which we seek to inspire and nurture in every employee.

The E2E Supply Chain – Data Engineer will prepare data for use by analysts, data scientists, and self-service analytics internal consumers via analytics tools by filtering, tagging, joining, parsing, and normalizing and building out E2E supply chain data lake. You will also maintain processes, standards, and policies needed to ensure high quality master and transactional data, consistent with Straumann groups Digital practices and E2E supply chain strategy.

Main Tasks and Responsibilities

• Supply Chain Data Optimization: Utilize data preparation and modeling techniques to optimize supply chain data for self-service analytics, product development, modeling, and data discovery. This includes filtering, tagging, joining, parsing, and normalizing supply chain data.
• Standardization Across the Supply Chain: Harmonize and standardize supply chain data from various sources, including structured, unstructured, and waveform data.
• Supply Chain Data Enrichment: Identify new variables and insights that can enhance curated supply chain data sets and models.
• Data Management: Proficiently organize and enhance data to facilitate analytics, modeling, and product development. This involves establishing essential data pipelines, standardizing data from diverse sources, and generating meaningful insights.
• Data Warehousing: Design and manage data warehouses to ensure scalable, reliable, and performant data storage solutions. Ensure data is cleansed, enriched, and transformed according to business requirements.
• Data ingestion: ingest data from original sources (ERP, Reference files, etc.) and create jobs and delta loads in order to enable, run, and maintain data flows across various environments
• TL/ELT Pipeline Proficiency: Expertly develop, implement and maintain ETL/ELT pipelines, ensuring seamless data transformation and integration.
• Implement End to End Data Integration and Workflow Automation: Schedule and monitor data jobs to ensure timely availability of data.

Quality, Security and Governance: Apply & understand best practices collaborating with data analysts and data scientists to enable data-driven decision-making, selecting and integrating Big Data tools and frameworks required to provide requested capabilities, solving complex problems, optimizing data models, creating data flows and improving processes.

Requirements needed

• Bachelor’s Degree in computer science or software engineering or related field
• 3+ years of experience working in software development or as data engineer or in similar role
• 3+ years of experience as a Data Engineer
• 3+ years of experience with AWS (AWS services such as AWS Lambda, AWS Glue, AWS Step Functions, AWS AppFlows)
• Experience with Terraform
• Experience with Snowflake for data modeling and transformation
• Proficient in programming languages such as Python, SQL, and familiarity with PySpark
• Experience with Spark
• Fluent English spoken and written
• Ability to communicate effectively
• Familiarity with digital technologies and process design.

* The position can be allocated in person in Madrid(Spain) or Curitiba(Brazil).

What will you find here?

(Benefits for the position in Curitiba)

• Food vouchers;
• Meal ticket;
• Health plan with extensive national coverage for dependents;
• Dental Plan;
• Gympass;
• Transport voucher or parking allowance;
• Participation by Results (PPR);
• Internal development programs;
• Discounts on our product lines;
• Growth opportunities

(Benefits for the position in Madrid)

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.