Data Engineering Associate - Amsterdam, Nederland - Metyis
Beschrijving
We are looking for a Data professional to join our Data Engineering team.As a Data Engineer Associate, you are responsible for turning our clients' business a more data-driven one, where data is used to drive action in every team, every day.
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 fastgrowing international and diverse team.
Who we are:
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big 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.
We are Metyis. Partners for Impact.
What you will do:
- Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, ecommerce, Business Intelligence, and selfservice analytics.
- Collect functional and nonfunctional 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 realtime 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:
- 34 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.
- 12 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 problemsolving 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).
At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
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