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 end-to-end engineering solutions for business needs in digital marketing, e-commerce, BI and self-service analytics
- Turn requirements and technical constraints into data platforms, pipelines, streaming hubs and web services
- Work with consultants, partners and data scientists to deliver client data strategies and machine-learning workflows
- Teach data engineering practices and help other team members develop their skills
What you bring
- You have three to four years in data analytics and hands-on experience delivering production ETL or ELT pipelines at scale
- You bring strong SQL, data transformation and profiling skills, plus knowledge of data warehouse design
- You have one to two years working with Azure data services, along with Airflow and Kubernetes experience
- You can program in Python or PySpark and use Bash, Git, CI/CD and Docker
- You hold a bachelor's degree in a technical discipline such as computer science, mathematics or engineering
Who this fits
This Amsterdam-based, hybrid full-time role suits an early-career data engineer with the stated analytics and platform experience. You’ll collaborate with clients and multidisciplinary teams, while also training and mentoring colleagues.
From the employer
Metyis 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.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
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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