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Data Engineering Analyst - Job Opportunity at Metyis AG

Amsterdam, Netherlands
Full-time
Entry-level
Posted: June 10, 2025
On-site
EUR 45,000 - 55,000 per year based on Amsterdam market rates for entry-level data engineering roles with 1-2 years of experience, potentially reaching EUR 60,000 with the consulting premium and international company benefits

Benefits

Opportunity to interact with senior stakeholders and drive impactful business transformation at enterprise level
Professional development through collaboration with multidisciplinary experts including data scientists and strategy consultants
Career growth acceleration within a fast-growing international organization with diverse team composition
Creative freedom and knowledge sharing in a collaborative environment that encourages innovation
Exposure to cutting-edge technologies and methodologies across digital marketing, eCommerce, and Business Intelligence domains

Key Responsibilities

Architect and implement comprehensive technical solutions that directly address concrete business challenges across digital marketing, eCommerce, Business Intelligence and self-service analytics domains
Lead requirements gathering processes encompassing both functional and non-functional specifications while navigating complex technical environments and enterprise organizational constraints
Spearhead Big Data strategy execution for clients through design and construction of operational data platforms including ETL pipelines, data anonymization systems, data lakes, and real-time streaming data hubs
Drive end-to-end data lifecycle management encompassing acquisition, exploration, cleaning, integration, analysis, interpretation, and visualization in collaboration with Data Scientists
Facilitate cross-functional collaboration with partners, strategy consultants and data scientists within an agile organizational structure that prioritizes personal initiative and strategic thinking

Requirements

Education

Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus)

Experience

1-2 years of experience in data analytics

Required Skills

Excellent analytical skills SQL Python or R Advanced experience with Excel Azure Data Factory Databricks Synapse analytics Azure Machine Learning Data Warehouse Experience with working on strategic challenges Collaborating with management-level stakeholders Strong commercial mindset
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Sauge AI Market Intelligence

Industry Trends

The data engineering field is experiencing unprecedented growth as organizations increasingly recognize data as their most valuable asset, with companies investing heavily in cloud-native data architectures and real-time analytics capabilities. The integration of AI and machine learning into business processes is driving demand for professionals who can build robust data pipelines and ensure data quality at scale. Azure cloud platform adoption is accelerating rapidly in the European market, particularly in the Netherlands, as organizations migrate from on-premises infrastructure to cloud-based solutions. This trend is creating significant opportunities for professionals with Azure-specific skills in data engineering, with particular emphasis on modern data stack technologies like Databricks and Synapse Analytics. The consulting industry is experiencing a digital transformation wave, with traditional consulting firms expanding their technical capabilities to compete with pure-play technology companies. This has created a hybrid role category that combines technical expertise with business acumen, requiring professionals who can bridge the gap between technical implementation and strategic business outcomes.

Role Significance

Typically works within cross-functional teams of 5-8 professionals including data scientists, strategy consultants, and business analysts, with direct collaboration across multiple client engagement teams
This is a junior-to-mid level individual contributor role that serves as a bridge between technical execution and business strategy. The position offers significant exposure to senior stakeholders and complex business challenges, indicating accelerated responsibility compared to typical entry-level data roles. The role combines hands-on technical work with strategic thinking, positioning the incumbent for rapid career advancement.

Key Projects

Implementation of enterprise-scale data lakes and ETL pipelines for Fortune 500 clients Development of real-time analytics platforms for eCommerce optimization Creation of self-service business intelligence solutions for executive decision-making Design and deployment of machine learning model training and scoring infrastructure

Success Factors

Ability to translate complex business requirements into scalable technical solutions while maintaining focus on measurable business impact and ROI Strong stakeholder management skills combined with the ability to communicate technical concepts to non-technical executives and drive consensus across diverse teams Proficiency in Azure cloud ecosystem with particular emphasis on modern data engineering tools and the ability to architect solutions that scale with business growth Commercial acumen and entrepreneurial mindset that enables identification of new business opportunities and revenue streams through data-driven insights Adaptability and continuous learning mindset to stay current with rapidly evolving data technologies and industry best practices

Market Demand

High demand driven by digital transformation initiatives and the critical need for data-driven decision making across all industries

Important Skills

Critical Skills

Azure cloud platform expertise is absolutely essential as it forms the foundation of most client engagements and technical implementations. Proficiency in Azure Data Factory, Databricks, and Synapse Analytics directly correlates with project success and career advancement opportunities within the organization. SQL and Python programming skills are fundamental requirements that enable daily task execution and technical problem-solving. These skills serve as the foundation for all data manipulation, analysis, and pipeline development activities. Stakeholder management and communication abilities are crucial for success in the consulting environment, where technical professionals must regularly interact with C-level executives and translate complex technical concepts into business value propositions.

Beneficial Skills

R programming language knowledge provides additional analytical capabilities and flexibility, particularly valuable for statistical analysis and data science collaboration projects Machine learning and AI understanding becomes increasingly important as clients seek to implement predictive analytics and automated decision-making systems Project management and agile methodologies knowledge helps navigate complex client engagements and multi-stakeholder environments typical in consulting projects Industry-specific knowledge in eCommerce, digital marketing, or financial services can provide significant competitive advantage in client interactions and solution design

Unique Aspects

Rare combination of technical data engineering work with direct senior stakeholder interaction, providing exceptional exposure to business strategy and executive decision-making processes
Opportunity to work across multiple industries and business functions within a single role, offering accelerated learning and diverse experience that typically requires multiple job changes
Access to cutting-edge Azure cloud technologies and enterprise-scale implementations that provide valuable hands-on experience with industry-leading platforms and methodologies
International consulting environment that offers potential for global career mobility and exposure to diverse business cultures and practices

Career Growth

18-24 months to senior individual contributor roles, 3-4 years to management positions given the consulting environment's accelerated career progression

Potential Next Roles

Senior Data Engineer with team leadership responsibilities and architecture design authority Data Engineering Manager overseeing multiple client engagements and technical teams Principal Consultant specializing in data strategy and digital transformation initiatives Technical Product Manager for data platforms and analytics solutions

Company Overview

Metyis AG

Metyis AG is a rapidly growing international consulting firm that positions itself at the intersection of traditional management consulting and modern technology implementation. The company focuses on delivering tangible business impact through data-driven solutions, combining strategic advisory services with hands-on technical execution. Their global presence and diverse industry focus indicate a mature organization with significant growth ambitions.

Emerging player in the competitive data and analytics consulting space, competing with established firms like McKinsey Digital and Deloitte Analytics while differentiating through specialized technical expertise and agile delivery methodologies
Amsterdam office serves as a key European hub, indicating significant investment in the Netherlands market and likely serving as a gateway for broader European expansion and client engagement
Emphasis on collaborative innovation and creative problem-solving suggests a modern, technology-forward culture that values individual contribution and entrepreneurial thinking over traditional hierarchical structures
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