Data Engineering Analyst

Join Adaptfy as a 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.

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.