Data Engineer Porto

Data Engineer
Porto
Porto, Porto, Portugal

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
- 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 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
  - effective solutions.
• You provide training and feedback to colleagues, participate in code reviews, and improve pipeline quality and performance. You are the
  - 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 Paa
  S 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
  - solving and analytical skills, with the ability to balance pragmatic solutions and
  - term technical sustainability.
• Solid experience with
  - 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
  - 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!