Data Engineer

We are looking for a Data Engineer in Lisbon who's eager to embark on an exciting new opportunity! 💪

🤩 About KWAN

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

🚀 What is this challenge about

• Model and transform complex raw data into consistent, enterprise-grade analytical structures.

• Build, maintain, and optimize robust ELT pipelines along with automated data quality tests.

• Ensure comprehensive documentation of data assets, including business rules, data lineage, and transformation logic.

• Monitor dataset health, data quality metrics, SLAs, and overall pipeline performance.

• Support Data Science, Business Intelligence, and Machine Learning teams by providing reliable data feeds and unified semantic layers.

• Collaborate closely with Data Engineers, Data Scientists, Machine Learning Engineers, and Product Owners to deliver integrated, value-driven solutions.

🛠 What we are looking for

• 3+ years of experience in data modeling and architecture, including star schema design, dimensional modeling, medallion architecture, schema evolution management, and semantic layer design.

• Advanced data transformation skills using Python and Spark, including PySpark and Spark SQL.

• Proficiency in pipeline orchestration and automation tools, such as Azure Data Factory, Apache Airflow, Microsoft Fabric, or Databricks Workflows.

• Hands-on experience with cloud data warehousing and lakehouse architectures (e.g., BigQuery, Snowflake, Synapse, Delta Lake, ADLS, Redshift) and a strong understanding of system interdependencies.

• Deep knowledge of BI modeling and performance optimization, including advanced semantic modeling in Power BI, DAX optimization, and efficient analytical model design.

• Advanced SQL expertise and performance engineering skills, including query tuning, partitioning, clustering, and handling large data volumes.

• Practical experience implementing CI/CD pipelines, version control, and DevOps best practices tailored for data engineering workflows.

• Strong familiarity with data quality frameworks and observability, including rule definition, automated data validation, and end-to-end operational monitoring.

• Fluency in English.

👉 Do you meet most of the position requirements? Then grab this opportunity and apply now! 🤩💪

✨ What we offer

• A project that matches your skills and ambitions, as well as your preferences for working policies and culture.

• A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.

• An empowering and respectful work culture enriched with social and learning events.

• A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

• A relocation package and visa sponsorship for all our international hires.

🙌 Some Words From Our Colleagues

“At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.” - Luis Caldeira, DevOps @ KWAN

👉 Grab this opportunity, apply now! 🤩💪