Mid Data Engineering Associate Amsterdam, Netherlands

Metyis; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Metyis is seeking a data engineer to design and build scalable data platforms across digital marketing, e‑commerce and BI domains. You will work with data scientists and strategy consultants to translate business needs into robust data pipelines.

Apply your Azure and open data tooling expertise to deploy ETL/ELT pipelines, streaming solutions, and dashboards while mentoring teammates in a fast-growing international team.

Qualifications

• 3–4 years of experience in data analytics.
• Understanding of data warehousing concepts (ODS, data marts, data lakes, data vault, 3NF).
• Advanced SQL and data transformation skills.
• Experience building production ETL/ELT pipelines at scale.
• 1–2 years hands-on Azure: Data Factory, Databricks, Synapse, Functions, streaming.
• Experience with Airflow and Kubernetes.
• Git, CI/CD and Docker knowledge.
• Power BI knowledge is a plus.
• Strong problem solving and ability to convey designs clearly.
• Bachelor's in CS/Math/Engineering or related; Master's preferred.

Responsibilities

• Engineer complete technical solutions for digital marketing, e‑commerce, BI, and self-service analytics.
• Gather requirements, consider environments, constraints, and enterprise needs.
• Design and build operational data platforms: ETL pipelines, anonymization, data lakes, streaming hubs, web services, ML training and scoring.
• Collaborate with partners, strategy consultants, and data scientists in a flat, agile org.
• Share data engineering knowledge via technical training.
• Guide and mentor team members.

Skills

Data analytics

Problem solving

Collaboration

Communication

Continuous improvement

Education

Bachelor's Degree in Computer Science or related field

Master's Degree (plus)

Tools

Azure Data Factory

Databricks

Synapse (DWH)

Azure Functions

Airflow

Kubernetes

Git

CI/CD

Docker

Power BI

Job description

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & 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.

Knowledge of Git, CI/CD operations and Docker.

Basic knowledge of PowerBI is a plus.

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.