Data Engineering Associate

Metyis; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Job summary

Adaptfy is seeking a Data Engineering Associate with 3-6 years of experience to join our Data and Analytics team in Amsterdam. You will engineer end-to-end data platforms supporting digital marketing, e-commerce, and BI initiatives, collaborating with Data Scientists and senior stakeholders.

You will collect requirements, design scalable ETL/ELT pipelines, data lakes, and near real-time data hubs, while mentoring teammates and sharing knowledge in a fast-growing international setting.

Qualifications

• 3-4 years of experience in data analytics.
• Understanding of data warehousing principles (ODS, data marts, data lakes, data vault, 3NF).
• Advanced SQL, data transformation and data profiling skills.
• Experience building production ETL/ELT pipelines at scale.
• 1-2 years hands-on with Azure: Data Factory, Databricks, Synapse, Azure Functions, streaming.

Responsibilities

• Engineer complete technical solutions to solve concrete business challenges in digital marketing, e-commerce, BI and self-service analytics.
• Collect functional and non-functional requirements, consider technical environments and enterprise constraints.
• Design and build operational data platforms: ETL pipelines, data lakes, near real-time streaming hubs, web services; training and scoring ML models.
• Collaborate closely with partners, strategy consultants, and data scientists in a flat, agile organization.
• Share data engineering knowledge by giving technical training and mentoring team members.

Skills

Advanced SQL

ETL pipelines

Airflow

Kubernetes

Azure Data Factory

Databricks

Synapse

Docker

Git

CI/CD

PowerBI

Education

Bachelor's Degree in Computer Science

Tools

Azure Databricks

PowerBI

Git

Job description

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.
• 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.