Manager - Data Engineering

Metyis AG; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Job summary

Adaptfy is seeking a Data Engineering Manager in Amsterdam with 5-8 years of experience to lead the data engineering and analytics team. You will drive end-to-end data pipeline development, collaborate with data scientists, and guide cloud-based architecture and best practices.

You will work with senior stakeholders to deliver data platforms, dashboards, and insights, shaping the data-driven strategy for the SHV family of companies across markets.

Qualifications

• 5-7 years of experience in a similar role with Azure ETL
• Solid knowledge of data warehousing concepts (ODS, data marts, data lakes, data vault, 3NF)
• Good understanding of digital development platforms, cloud setups, CI/CD workflows
• Experience in automated testing frameworks (unit/integration tests)
• Understanding of modern cloud architectures (Lambda & Kappa)
• Advanced SQL, data transformation and data profiling
• 3-5 years hands-on Azure: Data Factory, Databricks, Synapse, Azure Functions, streaming
• Experience with Airflow, Kubernetes, Great expectations is a plus
• Programming languages: Python (PySpark)
• PowerBI a plus
• Customer-centric and collaborative mindset
• Strong engineering craftsmanship mindset
• People management of small teams
• Experience in service consulting and stakeholder management
• Comfortable with ambiguity and autonomous work
• Bachelor's degree in CS/Math/Engineering/OR/Statistics (Master's a plus)

Responsibilities

• Lead the technical roadmap for clients and internal teams
• Oversee Architecture to ensure components meet customer needs
• Lead and develop the digital development and operations using Python, Spark, RESTful API and Azure
• Steer technical excellence and alignment with digital standards
• Coach and enable team members to deliver high-quality products
• Deliver data platforms, data insights and dashboards with data science collaboration
• Lead project activities and evaluate business needs with stakeholders

Skills

Data engineering

Python

SQL

Stakeholder management

Leadership

Problem solving

Cloud computing

Education

Bachelor's degree

Master's degree preferred

Tools

Azure

Databricks

Synapse

Airflow

Kubernetes

PowerBI

Job description

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 Analyticsteam 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 GitHub (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 Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming.

• Experience with Airflow, Kubernetes, Great expectations is a plus.

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

• Basic knowledge of PowerBI is a plus.

• Customer‑centric, passionate about delivering great digital products and services.

• Demonstrating 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.

• People Management experience (2 or 3-member team).

• Experience in service consulting and stakeholder management.

• Comfortable with ambiguity, highly autonomous.

• 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).

We are united by our differences

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.