Data Engineering Manager
Data Engineering Manager leading a small team in Amsterdam to build data pipelines, data platforms, and analytics products on Microsoft Azure using Python, Spark, and SQL for a data & analytics joint venture serving SHV's portfolio companies.
- Compensation
- Not disclosed
- Location
- Amsterdam, Noord-Holland, Netherlands
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 7-10 years of professional hands-on experience
- 5-8 years of experience in a similar role with ETL on Azure
- Solid knowledge of data warehousing principles (ODS, data marts, data lakes, data vault, 3NF)
- Understanding of cloud-based setups, advanced analytics, GitHub, and CI/CD workflows
- Experience setting up automated testing frameworks (unit tests, integration tests)
- Understanding of Lambda and Kappa architectures
- Advanced SQL, data transformation, and data profiling skills
- Experience building production ETL/ELT pipelines at scale
- Data governance experience
- 3-5 years hands-on Azure: Data Factory, Databricks, Synapse, Azure Functions, App logic, streaming
- Python (PySpark) and scripting languages like Bash
- People Management experience (2-3 member team)
- Experience in service consulting and stakeholder management
- Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or related field
Nice to have
- Experience with Airflow, Kubernetes, Great expectations
- Basic knowledge of PowerBI
- Master's Degree
Full 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 Analytics team 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.