Top Data Engineer Jobs in Portugal

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines and Airflow orchestration, ingest from third-party APIs, optimize Parquet/Avro/ORC columnar storage, and work with Spark, Snowflake, and cloud platforms. Act as technical consultant to translate business goals into data architecture roadmaps, use Terraform for infra, and support AI/ML initiatives while ensuring data integrity and pipeline performance.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar formats and SQL, support ML initiatives, consult with stakeholders, and provision infrastructure using AWS and Terraform.

Design and build scalable data lakes, warehouses, and lakehouse architectures; implement Python ETL/ELT pipelines and Airflow orchestration; ingest data from third-party APIs; manage columnar file formats (Parquet/Avro/ORC); optimize pipelines for Snowflake, Spark, and AWS; consult stakeholders to translate business goals into technical roadmaps; use Terraform for infrastructure.

Design and implement scalable data lakes, warehouses, and lakehouses; build Python ETL/ELT pipelines and Airflow orchestration; ingest from third-party APIs; optimize columnar formats (Parquet/Avro/ORC) and SQL/NoSQL; support ML initiatives; consult with stakeholders and build AWS/on-prem infrastructure using Terraform.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar file formats and SQL, support ML initiatives, consult stakeholders, and provision AWS/on-prem infrastructure using Terraform.

Design and build scalable data lakes, warehouses, and lakehouses; implement Python ETL/ELT pipelines; orchestrate workflows with Airflow; ingest data from third-party APIs; optimize Parquet/Avro/ORC storage; work with Spark, Snowflake, and AWS/GCP; consult stakeholders and build infrastructure with Terraform.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize columnar formats, support ML/AI initiatives, and consult with stakeholders to translate business needs into technical roadmaps using cloud and infrastructure tools.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize columnar formats, support ML initiatives, consult with stakeholders, and provision AWS/on-prem infrastructure with Terraform.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from 3rd-party APIs, optimize columnar file formats, support ML initiatives, and consult with stakeholders to translate business goals into data architecture roadmaps using Snowflake, Spark, and cloud infrastructure.

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize columnar formats and SQL, support ML initiatives, and consult stakeholders to translate business goals into technical roadmaps using cloud and infrastructure-as-code tools.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest third-party APIs, optimize columnar formats, and support ML initiatives using Spark, Snowflake, and AWS. Act as technical consultant translating business needs into data architecture roadmaps.

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize file formats and columnar storage, work with Spark/Snowflake and cloud (AWS/GCP), support ML initiatives, consult with stakeholders, and provision infrastructure via Terraform.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar storage and query performance, and consult stakeholders to translate business goals into data architecture roadmaps using Spark, Snowflake, and cloud infrastructure.

Design and build scalable data lakes/warehouses/lakehouses and Python ETL/ELT pipelines. Orchestrate workflows with Airflow, ingest from 3rd-party APIs, optimize columnar formats and SQL, support ML initiatives, consult with stakeholders, and build cloud/on-prem infrastructure.

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines and Airflow orchestration, ingest from third-party APIs, optimize columnar formats (Parquet/Avro/ORC), and work with Snowflake, Spark, and cloud (AWS/GCP). Serve as technical consultant translating business goals into data architecture and use Terraform for infrastructure.

Design and implement scalable data lakes, warehouses, and lakehouse architectures. Build Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar file formats and SQL, and support ML initiatives. Act as technical consultant to translate business goals into data architecture roadmaps and build cloud/on-prem infrastructure.

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar file formats and SQL, support ML initiatives, consult with stakeholders to translate business requirements into data architecture roadmaps, and build AWS/on-prem infrastructure using Terraform and related tools.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines and Airflow orchestration, ingest data from third-party APIs, optimize columnar formats and SQL, support ML initiatives, and consult with stakeholders to translate business goals into data architecture roadmaps using cloud and infrastructure tools.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize columnar file formats, support ML initiatives, and consult stakeholders to translate business goals into data architecture roadmaps.

Validate ETL/ELT pipelines and data migrations, test database objects, write complex SQL for verification, automate database regression tests, assess query performance, and validate BI reports in Tableau/Power BI while tracking defects in JIRA/TestRail.

Design, build, and operate large-scale Hadoop-based data pipelines and analytics platforms. Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, machine learning, and reporting. Ensure reliability, performance, and cost-effective production operations; troubleshoot, debug, and document platform components.

Build and operate production pipelines that convert raw infrared satellite frames into calibrated, orthorectified, analysis-ready products. Optimize pipeline latency and scale, implement workflow orchestration, build monitoring and operational tooling, collaborate with remote sensing scientists to productionize algorithms, participate in on-call rotations, and diagnose and fix data quality and processing failures.

Design, build, and operate data infrastructure and pipelines that ingest large-scale vehicle sensor logs into cloud storage, curate datasets and labeling workflows for ML training, deploy visualization tooling for log review and QA, implement validation/monitoring and data lifecycle policies, and collaborate with autonomy teams to define data contracts and support model training and evaluation.

Design and implement scalable backend systems for Patreon's platform. Collaborate with engineers and product managers to maintain and optimize performance.

Lead design and scale of Coupang's data platform for petabyte-scale ingestion, storage, and processing. Build and manage ETL/ELT pipelines, ensure data quality, observability, SLAs, security/compliance, and optimize cost and performance. Mentor engineers and drive platform automation and resiliency.