Senior Data Engineer
Portugal - Remote · Bulgaria · North Macedonia · Poland · Portugal · Posted Oct 6, 2026
At a glance
- Location
- Portugal - Remote · Bulgaria · North Macedonia · Poland · Portugal
About Valtech
- Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
- At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
- At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
- Are you ready to create what’s next? Join us.
About the role
- Valtech is looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization.
- The role involves working on scalable batch, streaming, and near-real-time pipelines to enable high-quality, curated datasets while ensuring robust data governance, security, and observability.
- Candidates can deliver this role on either of two core cloud ecosystems—AWS (with Databricks) or Azure/Fabric—and will be staffed on projects matching their strongest platform.
Responsibilities
- Design and implement scalable data platforms and pipelines on AWS (with Databricks) or Azure/Fabric (with Databricks or native Fabric tooling).
- Develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake.
- Build ingestion, transformation, and curation workflows for both structured and unstructured data.
- Implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold) within Databricks or Fabric.
- Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems.
- Enable data pipelines for GenAI use cases, agent-based architectures, and intelligent workflows.
- Design scalable logical and physical data models for analytical and operational use cases.
- Orchestrate workflows using tools such as Airflow, dbt, Databricks Workflows, Azure Data Factory, or equivalents.
- Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence.
- Help derive and refine business requirements by asking questions and applying common sense thinking and detailed analysis.
Requirements
- Strong hands-on experience with Apache Spark and Delta Lake.
- Strong programming skills in Python and SQL.
- Proven experience building batch and streaming data pipelines and production-grade data platforms.
- Solid understanding of data modeling, data quality, and governance principles.
- Hands-on experience with either AWS data services and the Databricks Lakehouse Platform or Microsoft Azure / Fabric and Azure Databricks.
- Experience with lakehouse architectures and distributed data systems.
- Strong understanding of scalability, reliability, and performance considerations in data pipelines.
- Natural curiosity with strong problem-solving skills focused on scalability and reliability.
Preferred qualifications
- Deep expertise in both tracks—AWS and Azure/Fabric, across Databricks and native Fabric tooling
- Experience with GenAI and AI data systems such as RAG pipelines, vector databases, and LLM data preparation
- Experience with CI/CD for data pipelines and infrastructure-as-code tools such as Terraform or CloudFormation
- Additional exposure to streaming technologies like Kafka, Spark optimization, or advanced analytics and ML workloads
- Experience building data products or large-scale analytics platforms
- Familiarity with other modern data platforms such as Snowflake or GCP
- Experience in Agile or consulting environments
Benefits
- Competitive compensation package
- Flexibility with remote and hybrid work options
- Career advancement with international mobility and professional development programs
- Learning and development access to cutting-edge tools, training, and industry experts
Workplace
- Remote and hybrid work options available, depending on the country.
Skills
- Apache Spark
- Delta Lake
- Python
- SQL
- AWS
- Databricks
- Azure
- Fabric
- Snowflake
- GCP
- Airflow
- Dbt
Show all 15 skills
- Azure Data Factory
- Terraform
- Kafka
