MCA Engineering Netherlands is an ambitious and fast-growing high-tech engineering and consulting organization. Originally French, but now operating in Europe, the secondment of engineers and IT specialists focuses on the design and implementation of innovative systems for large-scale industrial projects. The NL office is located in Eindhoven, but the ambition is to open multiple locations in the Netherlands. The company is characterized by a 'can-do' mentality, in which responsibilities lie low in the organization and 'accountability for results' is a natural consequence. At the same time, the focus is on making each other successful and supporting each other, where necessary.
Context
In this role, you will contribute to the development and optimization of cutting-edge electrolyzers, integral to the green energy transition. Electrolysis, a key process for hydrogen production, generates a multiphase flow of oxygen and hydrogen gas, which impacts water and temperature distribution within the electrolyzer stack.
Your Responsibilities
- Contribute to cutting-edge projects in the renewable energy sector, focusing on the development and optimization of electrolyzers.
- Play a key role in advancing sustainable energy solutions, helping to reduce carbon emissions and combat climate change.
- Collaborate with teams across various global locations.
- Serve as a bridge between data engineering and data analysis teams, ensuring seamless collaboration and data-driven decision-making.
- Gain exposure to the latest data engineering technologies and methodologies, enhancing your skills and career prospects.
What You Bring to the Table
- +5 years of relevant experience in a similar role.
- Knowledge in deploying, productionizing, and scaling ETL solutions for real industrial use cases.
- Knowledge of Cloud architectures (pref. Azure).
- Data processing methodologies and tools/orchestration such as Data factory, Fabric and/ or Databricks workflows.
- Knowledge of streaming data/IoT solutions (stream analytics or Kafka).
- Knowledge of time-series data processing.
- Data Management e.g., SQL, noSQL, metadata, schema, API, etc.
- Experience in usage of Cloud-programming languages such as Yaml, Python (relevant libraries: numpy, pandas, pyspark).
- Knowledge/experience in Git.
- Manage and maintain the tools and infrastructure necessary for CI/CD, including build-servers, code repositories, and deployment automation tools.
- Knowledge on testing (unit, integration, acceptance, functional).
- Data governance implementation to build foundation and enable data analytics/science.
- Ability to create relational data models.
- Experience with data visualization tools (PowerBI, Tableau).
- Regularly talk to internal stakeholders to ensure their information needs.
- Partner closely with data analysts and engineers throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
- Knowhow of SCRUM-framework and tooling (DevOps, Jira).
Your development perspectives
Our ambition is to make our teams diverse and sustainable! So, our primary objective is to make you successful so that you can access the various developments we offer. Eventually, you will be able to develop on multiple activity sectors, but also project yourself internally on Team Manager positions, for example. We can also offer you openings in our European subsidiaries if you are interested.
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