Manager - Data Engineering

Adaptfy is growing! We are looking for a Data Engineering Manager with 5
-8 years of experience for a full-time position to join our Data and Analytic steam in 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 companie

What we offer

Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change

Become the go-to person for end-to-end data handling, management, and analytics processes.

Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.

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

Lead, influence & implement the technical roadmap of our clients, in light of overall technology and architecture roadmaps.

Be responsible for the Architecture, making sure that technical and non-technical components work together in the product to deliver the customer needs.

Lead and Develop the digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud, ideally with some Data Insights experience.

Steer the technical excellence of the application and consistency with relevant digital frameworks, best practices, and standards.

Coach and enable other product team members to deliver best-in-class products.

Deliver data platforms, data insights and with the collaboration of the data science team – data products, such as recommendation systems, data lakes/hubs, data insights and dashboards.

Lead project activities and will be responsible for the evaluation of business needs and objectives in collaboration with the project team and other stakeholders.

What you will bring

5-7 years of experience in a similar role with experience in developing and deploying ETL solutions on Azure.

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

Good understanding of common platforms and practices regarding digital development;
Cloud-based setups, Advanced Analytics and computing environments, and Git Hub (or similar) and CI/CD workflows.

Experience in setting up automated testing frameworks including unit tests, integration tests.

Understanding of modern cloud-based architecture (Lambda & Kappa architectures).

Advanced SQL, data transformation, and data profiling skills.

Experience in building production ETL/ELT pipelines at scale.

Data governance experience.

3-5 years of hands‑on experience with Azure:
Data…