Data Engineering Manager at Metyis AG | Amsterdam, North Holland, Netherlands | Rezi

Data Engineering Manager at Metyis AG

Data Engineering Manager

Metyis AG · Amsterdam, North Holland, Netherlands

5 days ago

Data Engineering Manager

Metyis AG · Amsterdam, North Holland, Netherlands

5 days ago
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About the Role

This role is for a Data Engineering Manager with 5-8 years of experience, joining a fast-growing Data and Analytics team in Amsterdam. The position offers the opportunity to interact with senior stakeholders, become a go-to person for data handling, and lead a team in creating data management, visualization, and analytics products.

Responsibilities

  • Lead, influence & implement the technical roadmap of our clients.
  • Be responsible for the Architecture, ensuring technical and non-technical components work together.
  • Lead and Develop digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud.
  • Steer the technical excellence of the application and consistency with relevant digital frameworks, best practices, and standards.
  • Coach and enable other product team members to deliver best-in-class products.
  • Deliver data platforms, data insights and data products, such as recommendation systems, data lakes/hubs, data insights and dashboards.
  • Lead project activities and evaluate business needs and objectives in collaboration with the project team and other stakeholders.
  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
  • Become the go-to person for end-to-end data handling, management, and analytics processes.
  • Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.
  • Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.

Requirements

  • 7-10 years of professional hands-on experience.
  • 5-8 years of experience in a similar role with experience in developing and deploying ETL solutions on Azure.
  • Solid knowledge of data warehousing principles, concepts, and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
  • Good understanding of common platforms and practices regarding digital development; Cloud-based setups, Advanced Analytics and computing environments, and GitHub (or similar) and CI/CD workflows.
  • Experience in setting up automated testing frameworks including unit tests, integration tests.
  • Understanding of modern cloud-based architecture (Lambda & Kappa architectures).
  • Advanced SQL, data transformation, and data profiling skills.
  • Experience in building production ETL/ELT pipelines at scale.
  • Data governance experience.
  • 3-5 years of hands-on experience with Azure: Data Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming.
  • Programming languages: Python (PySpark), scripting languages like Bash.
  • Customer-centric, passionate about delivering great digital products and services.
  • Demonstrating 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.
  • People Management experience (2 or 3-member team).
  • Experience in service consulting and stakeholder management.
  • Comfortable with ambiguity, highly autonomous.

Skills

  • Python
  • Spark
  • RESTful API
  • Microsoft Azure Cloud
  • Data Insights
  • ETL
  • Data warehousing
  • Cloud-based setups
  • Advanced Analytics
  • GitHub
  • CI/CD workflows
  • Automated testing frameworks
  • Unit tests
  • Integration tests
  • Lambda architecture
  • Kappa architecture
  • SQL
  • Data transformation
  • Data profiling
  • ETL/ELT pipelines
  • Data governance
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse (DWH)
  • Azure Functions
  • Azure App logic
  • Azure data analytics services
  • Streaming
  • Airflow
  • Kubernetes
  • Great expectations
  • Bash
  • PowerBI

Location

  • Amsterdam

Work Type

  • Full-time

Experience Level

  • 5-8 years
  • 7-10 years

Education Level

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

About the Company

  • 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.
  • 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.