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Senior Data Platform Engineer
Senior Data Platform Engineer in Lisbon building Chain IQ's enterprise Databricks data platform: designing ingestion pipelines (batch, API, event-driven), Spark/Delta Lake medallion transformations, governance and privacy controls, canonical data models, and data products served via BI, REST/GraphQL APIs, and streaming.
Senior Data Platform Engineer
Senior data platform engineer at Sword Health (Portugal) building the streaming lakehouse, low-latency distributed pipelines, durable workflows, and API-first self-service layer that powers clinical, ops, and AI teams. Core stack: Iceberg, Flink/Spark, Kafka, Temporal, and vendor platforms like Snowflake/Databricks.
Remote Senior Data Engineer | AWS Lakehouse & Iceberg
Senior Data Engineer building and optimizing an AWS Lakehouse with Iceberg tables — designing data ingestion, transformation, and ELT pipelines at scale, implementing orchestration, and doing performance tuning and data retention — in a fully remote setup while collaborating with domain teams.
Data Engineer – Databricks, Python & Medallion Architecture
Data Engineer developing, implementing, and optimizing data pipelines with Python, PySpark, and Databricks, using Medallion (Bronze/Silver/Gold) architecture and ETL/ELT processes. Hybrid role based in Maia (Porto) with two mandatory on-site days per week.
Senior Data Engineer | Cloudera/Snowflake Migration
Senior Data Engineer at nearshore IT firm Reach IT, leading migrations of large-scale Cloudera/Hadoop (Hive, Impala, HDFS) ecosystems to Snowflake or Databricks on AWS/GCP — re-architecting workloads, modernizing ETL pipelines with Python, SQL, Spark, and PySpark, and working directly with international clients.
Data engineer in high-scale systems
French-speaking Data Engineer (4+ years) building and optimizing scalable batch and real-time ETL/ELT pipelines for a high-scale international project at act digital, in a hybrid Lisbon setup (2-3 days/week on-site). Core stack: Python/Scala/Java, cloud data platforms (Azure, AWS, Snowflake, Databricks), Spark, Airflow, and Git-based CI/CD.
Senior Data Engineer — Remote, Architect & Tech Leader
Senior Data Engineer at Neotalent Conclusion: design end-to-end data architectures and govern enterprise data platforms — shaping data lake, lakehouse, and warehouse strategies across Azure, AWS, and GCP — while leading multidisciplinary teams and driving secure, compliant data solutions.
Data Engineer - Semantics & Domain Models
Data engineer at Chain IQ (a global procurement services firm) in Lisbon, building a shared semantic data layer: canonical entities like suppliers, contracts and risks, domain datasets over a lakehouse, and consistent definitions for analytics, applications and automated workflows.
Lead Data Engineer (healthcare solution)
Hands-on Lead/Staff individual-contributor role at Intellias in Portugal, helping a US digital-health platform turn fragmented clinic and lab data into a clean, standardized FHIR-based health data platform. Daily work centers on Databricks/Spark and Python pipelines, data-quality frameworks, mentoring engineers, and AI-native engineering.
Data Engineer Funcional M/F
Mid-level (3-5 yrs) data engineer at IT consultancy Sysmatch, working hybrid in Lisbon on a project for an international client: building and orchestrating ETL/ELT pipelines and dimensional data models with Microsoft Fabric, Power BI, Azure, advanced SQL, and Python/PySpark, while liaising with finance, risk and compliance business areas.
Data Engineer/Architects - Databricks
Design, build and maintain scalable cloud data platforms on Azure and Databricks: ETL/ELT pipelines, Delta Lake Lakehouse solutions, migration of legacy on-prem data warehouses, and governed data foundations for ML, generative AI and Customer 360 work on a client project — full remote from Portugal.
Senior Data Engineer | AWS
Senior data engineer working fully remote on an AWS-based Lakehouse platform: building ingestion/transformation and ELT pipelines, managing and optimizing Apache Iceberg tables (compaction, retention), orchestrating workflows, and troubleshooting pipeline issues alongside domain teams.