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About the Role
Adaptfy is seeking a Data Engineering Manager with 5-8 years of experience to join our Data and Analytics team in Amsterdam. This full-time role involves leading technical roadmaps, designing data architectures, and developing digital solutions using Python, Spark, RESTful API, and Microsoft Azure Cloud.
Responsibilities
- Interact with senior stakeholders at our clients on a 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.
- Work with Data Scientists to manage the data lifecycle from acquisition to visualization.
- Become part of a fast-growing international and diverse team.
- Lead, influence & implement the technical roadmap of our clients, in light of overall technology and architecture roadmaps.
- Be responsible for the Architecture, ensuring technical and non-technical components work together.
- Lead and Develop the digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud.
- 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.
- Lead project activities and be responsible for the evaluation of business needs and objectives.
Requirements
- 7-10 years of professional hands-on experience.
- 5-8 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.
- 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).
Skills
- Python
- PySpark
- Spark
- RESTful API
- Microsoft Azure Cloud
- Data Engineering
- ETL
- Data Warehousing
- Cloud-based setups
- Advanced Analytics
- GitHub
- CI/CD workflows
- Automated testing frameworks
- Unit tests
- Integration tests
- Lambda architecture
- Kappa architecture
- SQL
- Data transformation
- Data profiling
- ETL/ELT pipelines
- Data governance
- Azure Data Factory
- Azure Databricks
- Azure Synapse (DWH)
- Azure Functions
- Azure App logic
- Azure data analytics services
- Streaming
- Airflow
- Kubernetes
- Great expectations
- Bash
- PowerBI
- Problem-solving
- Stakeholder management
Location
- Amsterdam
Work Type
- Full-time
Experience Level
- 5-8 years
- 7-10 years
Education Level
- Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines
- Master's Degree is a plus
About the Company
- 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.
Equal Opportunity
- 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.
- 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.