Data Engineering Associate

Metyis AG; Amsterdam; On-site; EUR 70,000 - 100,000; Full time

Job summary

Metyis AG in Amsterdam is seeking a Data Engineering Associate with 3-6 years of experience to join our Data and Analytics team. The role is full-time and centers on building robust data platforms, ETL/ELT pipelines, and data products that empower business decisions.

You will work with a diverse international team, collaborating with data scientists and strategy consultants to implement data-driven solutions across marketing, e-commerce, BI, and analytics.

Qualifications

• 3-6 years of data analytics/engineering experience.
• Strong SQL, data warehousing concepts, and data modeling knowledge.
• Experience building production ETL/ELT pipelines at scale.
• Hands-on with Azure data services (Data Factory, Databricks, Synapse, Functions).
• Experience with Airflow and Kubernetes.
• Programming in Python (PySpark) and Bash scripting.
• Knowledge of Git, CI/CD, and Docker.
• Basic Power BI knowledge preferred.
• Bachelor’s degree in a technical field; Master’s preferred.

Responsibilities

• Engineer end-to-end data platforms including ETL/ELT pipelines, data lakes, and data hubs.
• Collaborate with data scientists and stakeholders to deliver data solutions across marketing, e‑commerce, BI, and analytics.
• Collect requirements and design scalable data architectures respecting enterprise constraints.
• Mentor team members and share knowledge through technical training.
• Partner with senior stakeholders to drive impactful data-driven changes.

Skills

SQL

Data warehousing

ETL/ELT pipelines

Azure

Databricks

Synapse

Airflow

Kubernetes

Python (PySpark)

Bash

Git

CI/CD

Docker

PowerBI

Power BI

Education

Bachelor's Degree in Computer Science

Master's Degree (preferred)

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Azure Functions

Airflow

Kubernetes

Git

CI/CD

Docker

PySpark

PowerBI

Job description

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 experiencewith 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.