Data Engineering Analyst

Who We Are

Adaptfy is a turnkey data & analytics solution for the SHV family of companies. We support multiple SHV Groups with advanced Data & Analytics in all areas, elevating their operations in diverse industries across international markets and throughout entire value chains.

Adaptfy is a joint venture formed by SHV and Metyis. Metyis embodies visionary thinking in the digital world, while SHV is a globally established family of companies built on the values of integrity, trust, curiosity, passion, and inclusivity.

SHV has a presence across four continents, with businesses spanning energy, heavy lifting and transport, animal nutrition & aquaculture, testing, inspection & certification, and more. The organisation’s history reflects its courage to care—for people, for performance, and for future generations. Their success is a testament to constant reinvention through innovation.

At Adaptfy, we play a pivotal role in bringing SHV’s digital vision to life. From optimising supply chains across Europe to enhancing operational efficiency in South America, we connect the dots for SHV, shaping a data-driven future for the entire family of companies.

What We Offer

• Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
• Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
• Become part of a fast-growing international and diverse team.
  
  
  

What You Will Do

• Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, Business Intelligence and self-service analytics.
• Collect functional and non-functional requirements, consider technical environments, business constraints and enterprise organizations.
• Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
• Collaborate closely with partners, strategy consultants and data scientists, in a flat and agile organization, where personal initiative is highly valued.
  
  
  

What You Will Bring

• 1-2 years of experience in data analytics.
• A Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research.
• Statistics, Business or other related technical disciplines (Master's Degree is a plus).
• Excellent analytical skills (SQL + Python or R highly preferred).
• Advanced experience with Excel.
• Highly preferred experience with Azure (Azure Data Factory, Databricks, Synapse analytics, Azure Machine Learning or DWH).
• Experience with working on strategic challenges and collaborating with management-level stakeholders.
• A strong commercial mindset; you see opportunities and make sure we act on them.
  
  
  

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.