Data Engineering Associate

Metyis; Amsterdam; On-site; EUR 65,000 - 90,000; Full time

Job summary

Adaptfy in Amsterdam is hiring a Data Engineering Associate with 3-6 years of experience for a full-time role in our Data & Analytics team. You will engineer complete data platforms, ETL/ELT pipelines, and data lakes to empower analytics across international markets.

Join a fast-growing, cross-functional team and collaborate with data scientists, engineers, and stakeholders to deliver scalable data solutions, ensure data quality, and mentor junior colleagues.

Qualifications

• 3-6 years of experience in data analytics and engineering.
• Strong SQL, data modeling, and ETL/ELT pipeline design.
• Experience with Azure data services and big data tooling.

Responsibilities

• Design and build end-to-end data pipelines for analytics platforms.
• Collaborate with data scientists and stakeholders to translate requirements.
• Implement data warehousing concepts and data governance.
• Mentor junior team members and share knowledge.

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.

Data & Analytics
Mid

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 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.

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.
• 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).