Associate Data Engineering

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

• A balanced work environment where you will have autonomy, responsibility, and ownership while working

• Be part of a fast-growing company that helps businesses leverage data analytics for better decision-making.

• Collaborate with a highly skilled, dynamic, and supportive team.

• Opportunities for career growth and continuous learning in analytics and consulting.

• Competitive salary and benefits package, including training, mentorship, and travel opportunities.

What you will do

• Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, e-commerce, 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.

• Share data engineering knowledge by giving technical training.

• Guide and mentor team members.

What you’ll bring

• 3-4 years of experience in data analytics.

• Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).

• Advanced SQL, data transformation and data profiling skills.

• Experience of building production ETL/ELT pipelines at scale.

• 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming.

• Experience with Airflow and Kubernetes.

• Programming languages: Python (PySpark), scripting languages like Bash.

• Knowledge of Git, CI/CD operations and Docker.

• Basic knowledge of PowerBI is a plus.

• True engineering craftsmanship mindset.

• Passionate about continuous improvement and working collaboratively.

• Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience.

• Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).

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 or not they are living with a disability, as each of them has their own experience and identity.