Mid Data Engineering Associate Amsterdam, Netherlands

Metyis AG; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Adaptfy, a turnkey data & analytics solution for the SHV family, is seeking a data analytics engineer in Amsterdam. You will engineer complete technical solutions in digital marketing, e-commerce, BI and self-service analytics, collaborating with senior stakeholders to drive measurable business outcomes.

Join a fast-growing, international team and help design and build data platforms, ETL/ELT pipelines, and real-time data hubs.

Qualifications

• 3–4 years of experience in data analytics.
• Understanding of data warehousing concepts: 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 experience with Azure: Data Factory, Databricks, Synapse, Azure Functions, and related data services including streaming.
• Experience with Airflow and Kubernetes.
• Knowledge of Git, CI/CD operations and Docker.
• Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or related technical disciplines (Master's Degree a plus).

Responsibilities

• Engineer complete technical solutions for digital marketing, e-commerce, BI, and self-service analytics.
• Gather functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.
• Design and build operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring ML 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.

Skills

Advanced SQL

ETL pipelines

Data analytics

Kubernetes

Airflow

Git

Docker

Azure Databricks

Synapse

Power BI

Education

Bachelor's Degree in Computer Science or related

Master's Degree is a plus

Tools

Azure Data Factory

Databricks

Synapse

Azure Functions

Airflow

Kubernetes

Git

CI/CD

Docker

Power BI

Job description

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 valuechains.

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 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.