KWAN is recruiting a Data Engineer to join its team in Lisbon, Portugal.
The opportunity is aimed at experienced data professionals with strong skills in data modelling, Python, Spark, SQL, cloud data platforms, data pipelines, business intelligence and data quality.
One of the key features for international candidates is that KWAN states it provides a relocation package and visa sponsorship for its international hires.
If you are a Data Engineer looking to build your career in Portugal and have the required technical experience, this could be an opportunity to explore.
- Employer: KWAN
- Position: Data Engineer
- Location: Lisbon, Portugal
- Employment Type: Full-time
- Experience: 3+ years
- Language: English
- International Applicants: Welcome
- Visa Sponsorship: Available for international hires
- Relocation Support: Available
About KWAN
KWAN connects IT professionals with technology projects based on their skills, professional experience and career goals.
The company also provides career development support through its People Experience Partners, who help professionals navigate their career progression, training and development while working with KWAN.
For this position, the company is looking for a Data Engineer who can contribute to the development of reliable, scalable and well-structured data solutions.
What Will You Do?
As a Data Engineer, you will work with complex datasets and help transform raw information into reliable analytical structures that can be used across an organisation.
Your responsibilities may include:
- Modelling and transforming complex raw data into consistent, enterprise-grade analytical structures
- Building, maintaining and optimising ELT data pipelines
- Implementing automated data quality tests
- Documenting data assets, business rules, data lineage and transformation logic
- Monitoring dataset health and data quality metrics
- Monitoring service-level agreements (SLAs) and pipeline performance
- Providing reliable data feeds for Data Science, Business Intelligence and Machine Learning teams
- Developing and maintaining unified semantic layers
- Working with Data Engineers, Data Scientists and Machine Learning Engineers
- Collaborating with Product Owners and other stakeholders
- Contributing to integrated data solutions that support business objectives
Technical Skills Required
KWAN is looking for candidates with strong experience in modern data engineering technologies.
Data Modelling & Architecture
You should have at least 3 years of experience in areas such as:
- Data modelling
- Data architecture
- Star schema design
- Dimensional modelling
- Medallion architecture
- Schema evolution management
- Semantic layer design
Python & Spark
Strong data transformation skills are required, including experience with:
- Python
- Apache Spark
- PySpark
- Spark SQL
Data Pipeline & Orchestration
Experience with data pipeline orchestration and automation tools is important.
Relevant technologies include:
- Azure Data Factory
- Apache Airflow
- Microsoft Fabric
- Databricks Workflows
Cloud Data Platforms
The successful candidate should have hands-on experience with cloud data warehousing and/or lakehouse architectures.
Experience with platforms such as the following is relevant:
- BigQuery
- Snowflake
- Azure Synapse
- Delta Lake
- Azure Data Lake Storage (ADLS)
- Amazon Redshift
You should also understand the interdependencies between different components within data systems.
Business Intelligence & Power BI
Experience with BI modelling and performance optimisation is also required.
The employer is particularly interested in candidates with knowledge of:
- Power BI
- Semantic modelling
- DAX
- DAX optimisation
- Analytical model design
- BI performance optimisation
SQL & Performance Engineering
Strong SQL skills are required.
Candidates should have experience with:
- Advanced SQL
- Query optimisation
- Query tuning
- Partitioning
- Clustering
- Working with large data volumes
- Data processing performance optimisation
DevOps & Data Quality
The role also involves modern engineering practices.
Relevant experience includes:
- CI/CD pipelines
- Version control
- DevOps practices for data engineering
- Data quality frameworks
- Automated data validation
- Data quality rules
- Data observability
- Operational monitoring
English Language Requirement
Fluency in English is required.
This makes the position particularly relevant to international data professionals who are looking for an English-speaking technology role in Portugal.
Visa Sponsorship & Relocation Support
International applicants can be considered.
KWAN states that it provides a relocation package and visa sponsorship for all international hires.
This is particularly relevant for qualified candidates currently living outside Portugal who would need immigration support to relocate for the position.
However, candidates should understand that being an international applicant does not automatically guarantee employment or immigration approval. Candidates must meet the employer’s hiring requirements and the applicable Portuguese immigration requirements.
Always confirm the latest sponsorship and relocation arrangements directly with KWAN before making travel or financial commitments.
What KWAN Offers
According to the employer, successful candidates can receive:
- A project aligned with their professional skills and ambitions
- Consideration of preferred working policies and company culture
- Competitive salary
- Employee benefits
- Opportunities to use professional knowledge and networks to generate additional income
- A respectful and empowering work environment
- Social and learning events
- Career development support
- A dedicated People Experience Partner
- Training and professional development support
- Support for work-life balance
- Relocation package
- Visa sponsorship for international hires
Who Should Apply?
This vacancy may be suitable for Data Engineers who have a strong background in:
- Data architecture
- Data modelling
- Python
- Spark/PySpark
- Advanced SQL
- Cloud data platforms
- ELT pipelines
- Databricks
- Azure Data Factory
- Airflow
- Power BI
- DAX
- Data quality
- CI/CD and DevOps
The employer is looking for candidates who meet most of the position requirements, so applicants should carefully compare their experience with the technical requirements before applying.
How to Tailor Your CV for This Data Engineer Job
Your CV should be tailored specifically around the technologies and responsibilities mentioned in the vacancy.
1. Put Your Technical Skills Near the Top
Create a clear technical skills section featuring relevant technologies such as:
Python | PySpark | Spark SQL | SQL | Azure | Databricks | Power BI | DAX | Airflow | Azure Data Factory | Snowflake | BigQuery
Only include technologies you genuinely have experience using.
2. Quantify Your Data Engineering Experience
Instead of simply saying that you “built data pipelines,” provide measurable results where possible.
For example, explain the size of datasets handled, pipeline performance improvements, processing times, automation achieved or number of data sources integrated.
3. Highlight Cloud Experience
If you have worked with Azure, AWS or Google Cloud, clearly explain which services you used and how they supported your data engineering projects.
4. Demonstrate Data Modelling Knowledge
Highlight experience with:
- Dimensional modelling
- Star schemas
- Data warehouses
- Lakehouses
- Medallion architecture
- Semantic models
5. Show Your SQL & Python Experience
These are important technical requirements, so provide examples of how you have used advanced SQL, Python, Spark or PySpark in real projects.
6. Include BI Experience
If you have Power BI and DAX experience, make it visible rather than hiding it within a general skills section.
7. Mention International Relocation
If you are applying from outside Portugal, clearly state your availability to relocate to Portugal and, where applicable, your need for employer-supported visa sponsorship.
How to Apply
Interested candidates should apply through the vacancy listed by KWAN.
Candidates should review the complete vacancy information and submit their application with an updated CV highlighting their relevant technical experience.
Disclaimer: OpportunityShape is sharing this vacancy for informational purposes to help job seekers discover employment opportunities abroad.
KWAN states that it offers relocation support and visa sponsorship for international hires. However, sponsorship, employment and immigration approval are subject to the employer’s hiring process, the candidate’s qualifications and the applicable immigration requirements.
OpportunityShape does not guarantee employment, visa sponsorship, relocation or visa approval.
Always verify the latest vacancy details directly with the employer before applying or paying any third party.
