Data Engineering Associate
At a glance
Junior Data Engineering role at Metyis AG. Amsterdam · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data solutions for business needs in digital marketing, e-commerce, business intelligence and self-service analytics
- Translate functional and technical constraints into designs for client data platforms
- Create operational platforms with ETL and anonymization pipelines, data lakes, streaming hubs and web services
- Work with consultants, partners and data scientists on data engineering and machine learning delivery
- Train colleagues in data engineering and mentor other team members
What you bring
- Three to four years of data analytics experience, including production ETL or ELT pipeline work at scale
- Strong SQL, data transformation and profiling skills, with a grounding in data warehousing
- Hands-on Azure experience, plus familiarity with Airflow, Kubernetes, Python and related engineering tools
- A bachelor's degree in a technical discipline such as computer science, mathematics or engineering
Who this fits
This Amsterdam-based role suits an associate-level engineer who can work with clients and collaborate across technical and consulting teams. The position is full-time and hybrid in Amsterdam.
From the employer
Adaptfy is growing! We are looking for a Data Engineering Associate with 3 - 6 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 companies
What we offer
Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
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
Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, e-commerce, Business Intelligence, and self-service analytics.
Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.
Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.
Share data engineering knowledge by giving technical training.
Guide and mentor team members.
What you will bring
3-4 years of experience in data analytics.
Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
Advanced SQL, data transformation and data profiling skills.
Experience of building production ETL/ELT pipelines at scale.
1-2 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 and Kubernetes.
Programming languages: Python (PySpark), scripting languages like Bash.
Knowledge of Git, CI/CD operations and Docker.
Basic knowledge of PowerBI is a plus.
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.
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.
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