Data Engineering Analyst
Data & Analytics
Junior
Amsterdam

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.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether they are living with a disability, as each of them has their own experience and identity.

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