Data Engineer

Waterleau is a global and leading water technology company committed to protecting the ecosystem. As a growing company, we are always looking for enthusiastic, smart, and no-nonsense professionals who want to work in an environment full of revolutionary technology.

To support our growth, we are looking for a :

Data Engineer

Job Responsibilities

You own the end-to-end development of our data infrastructure, from design and architecture to implementation and maintenance, ensuring reliable data pipelines and accessibility for data consumers.

You collaborate with business owners to understand data needs and translate them into practical, durable, and cost-effective solutions.

You provide training and feedback to colleagues, participate in code reviews, and improve pipeline quality and performance. You are the go-to expert for data engineering, from data quality and query optimization to platform architecture.

You stay up to date with emerging technologies and best practices in data engineering (storage, compute, data quality, lineage & observability) and guide the digital team in making durable technical choices.

You mentor other data practitioners and support their professional growth. Together with our data scientist, you drive the continuous improvement of the digital team and other data experts.

You are responsible for selecting relevant training programs and setting internal standards and best practices in data engineering.

Required Skills and Experience

Strong expertise in setting up data infrastructure and pipelines, with deep knowledge of SQL.

Experience with data platforms like Databricks, Confluent, or Snowflake, while understanding the underlying technologies and working independently from PaaS offerings.

Proficiency with pipeline orchestration tools such as Airflow, Dagster, or Prefect, and the ability to select the best tool for each use case.

Ability to work independently on complex projects, breaking down objectives into manageable tasks and supporting colleagues when needed.

Knowledge of data management and modeling techniques (e.g., Kimball methodology) and experience with Python libraries such as Pandas, Polars, Plotly, and Altair.

Proven track record in data transformation and visualization, with experience in setting up BI environments. Practical knowledge of Superset is a plus.

Strong problem-solving and analytical skills, with the ability to balance pragmatic solutions and long-term technical sustainability.

Solid experience with cloud-based platforms and container technologies such as Docker and Kubernetes. You are comfortable with CI / CD pipelines, linters, automated tests, vulnerability screening, and Infrastructure as Code.

Ability to work in a diverse, international environment, effectively collaborating with both in-office and remote colleagues. Proficiency in English is required; additional languages are a plus.

Passion for water conservation and sustainability. You recognize the impact of your role in solving water challenges and are motivated to contribute.

Experience in the water or process industry is considered a plus.

What We Offer

A dynamic and innovative work environment within a globally recognized leader in water technology.

Opportunities for continuous learning and professional development.

A chance to work on impactful projects that contribute to sustainability and water conservation.

Are you ready to make a difference? Join Waterleau and help us shape the future of water technology!