Manager - Data Engineering Amsterdam, Netherlands

Metyis; Amsterdam; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Adaptfy is seeking a senior data engineering leader to drive the technical roadmap for client data platforms and analytics products. You will oversee architecture, ensure alignment with business needs, and guide development using Python, Spark, REST APIs and Microsoft Azure.

You will coach a small team, deliver data pipelines, dashboards, and data products in collaboration with the data science team, while maintaining high engineering standards and governance.

Qualifications

• 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 (ODS, data marts, data lakes, data vault, 3NF).
• Good understanding of cloud-based development; CI/CD workflows and GitHub or similar.
• Experience in setting up automated testing frameworks including unit tests and integration tests.
• Understanding of modern cloud-based architecture (Lambda & Kappa).
• Advanced SQL, data transformation, and data profiling skills.
• Experience building production ETL/ELT pipelines at scale.
• Data governance experience.

Responsibilities

• Lead the technical roadmap for client data platforms and analytics products.
• Oversee architecture to ensure components align with customer needs.
• Develop digital development and operations using Python, Spark, RESTful APIs, and Azure Cloud.
• Drive engineering excellence with industry standards and best practices.
• Coach team members to deliver high-quality data products and dashboards.
• Deliver data platforms and insights in collaboration with the data science team.

Skills

Python

Azure

Spark

ETL

Data warehousing

REST APIs

CI/CD

Airflow

Kubernetes

Power BI

Education

Bachelor's Degree in Computer Science / Math / Engineering

Master's Degree is a plus

Tools

Azure Data Factory

Databricks

Synapse

Power BI

Airflow

Kubernetes

Job description

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 valuechains.

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

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.

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.

Recruitment Disclaimer

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.