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Data Engineer & Data Infrastructure Specialist
Data engineer at Decskill, an IT consulting firm, developing and operating data analytics applications on a cloud-based Big Data platform in AWS. Day to day: building end-to-end features, PoCs, and production-ready solutions with Python and SQL, deploying across environments, and debugging and maintaining data pipelines.
Azure Data Engineer
BindWorks, a Portuguese IT consultancy, is hiring an Azure Data Engineer to design, build and operate data platforms on Microsoft Azure — building pipelines, lakehouse/warehouse architectures and governance using Azure Data Factory, Synapse, Databricks/Fabric, Spark, Python and SQL.
Senior Data Engineer
Build and maintain scalable data pipelines and Lakehouse data products on Azure Databricks using PySpark and SQL, implementing Bronze/Silver/Gold Medallion layers, ETL/ELT workflows, and data quality and governance, while collaborating with data architects, BI teams, and business stakeholders.
Senior Data Engineer
Senior Data Engineer at consultancy Act Digital (Lisbon or Porto, hybrid) building data feeds, ETL pipelines and warehousing and delivering insights via Tableau, Power BI, APIs and chatbots for a front-office banking/trading client. Core stack is Python (Pandas) and SQL; PySpark, Presto and Airflow are pluses.
Data Engineer – Azure
Data Engineer building large-scale batch and real-time data pipelines on the Databricks/Azure stack: managing Workspaces and Unity Catalog, writing and tuning PySpark, implementing Delta Lake medallion architecture, and deploying via CI/CD. Based in Portugal.
SENIOR DATA ENGINEER
Senior data engineer designing ETL/ELT pipelines, data models, and BI solutions for a client's banking Risk Reporting & Analytics environment. Daily work centers on SQL, Python/PySpark, Apache NiFi, ETL tools like Alteryx/Talend, CI/CD automation, and supporting users of Dataiku.
Senior Data Engineer
Senior Data Engineer who leads the design and evolution of Hiscox's Europe data platform on Microsoft Azure and Databricks — building scalable pipelines, setting engineering standards, owning CI/CD and FinOps cost management, and leading a small engineering pod through a Databricks migration.
Azure Data Engineer
Bee Engineering, a Portuguese IT consultancy with ~200 professionals, is hiring an Azure Data Engineer with 3+ years of experience to build ETL data pipelines using Azure, Databricks, Azure Data Factory, PySpark, and SQL on a fully English-language project run with Scrum/Kanban.
Data Engineer - Porto
Mid-senior Data Engineer at Adentis Portugal, an IT consulting/outsourcing firm, working hybrid from Porto. The role involves designing data warehouses, data lakes and ETL pipelines using the Azure stack (Data Factory, Databricks, Synapse, SQL) plus Python/PySpark. Requires 5+ years of data engineering experience.
Hybrid Senior Data Engineer - Data Pipelines & BI
Senior Data Engineer at Act Digital, hybrid in Lisbon/Porto, who owns end-to-end data pipelines (ETL, warehousing, visualization) and builds analytics, reports and dashboards for front-office stakeholders using Python, SQL, PySpark, Airflow, Tableau and Power BI.
Data Engineer
Data Engineer designing and maintaining scalable data pipelines on Azure (Data Factory, Synapse, Data Lake Storage) using SQL and PySpark within a Medallion architecture, placed via Randstad Digital into a multinational client. Hybrid role in Porto: 3 days onsite + 2 remote per week.
Data Engineer (Databricks)
Data Engineer at agap2IT, a Lisbon-founded European IT consulting firm. You'll autonomously build data pipelines using Databricks (Delta Live Tables, Unity Catalog), PySpark/Spark SQL, Azure Data Lake Storage, Airflow and Terraform. Candidates must already reside in Portugal or hold legal documentation to do so.
Data Engineer
Data engineer at act digital in Portugal (hybrid, 1 day/week in the Matosinhos office), designing and maintaining scalable data solutions on Microsoft Azure. Day to day involves building and optimizing Python/PySpark pipelines, data modelling, applying TDD, and delivering production-ready data for business consumption.
Data Engineer
Mid-senior Data Engineer (banking sector, Portugal) designing and optimizing large-scale data pipelines: tuning Spark/Databricks jobs and Delta Lake storage, building Azure Data Factory pipelines, and maintaining Airflow DAGs with advanced SQL for complex business use cases.
DATA ENGINEER
Gaming1 (gaming industry) seeks a Data Engineer in Portugal to design, build and operate data pipelines and models in SQL and PySpark, create Kimball-style dimensional models that feed Power BI reporting, own data-quality testing, and tune existing jobs within a data mesh setup.
Data Engineer
At Pepco's Tech Hub in Porto, this Data Engineer designs, builds, and maintains scalable cloud ETL/ELT pipelines and delivers curated datasets for reporting, analytics, ML/AI, and business insights. Core stack: SQL, Python/PySpark, cloud-native data tools, and modern orchestration frameworks.
Data Engineer
Data Engineer at Pepco's Porto Tech Hub, building and maintaining scalable cloud ETL/ELT pipelines and curated, high-quality datasets for reporting, analytics, ML/AI, and business insights across Pepco's European retail operations. Core skills: SQL, Python/PySpark, cloud data platforms, and CI/CD.
Data Engineer
Data Engineer at Arrow Global building Azure-based data pipelines (ADF, Databricks, Python/PySpark) to ingest and transform multi-source financial data — loan servicing, property valuations, collections — into relational data models supporting portfolio analytics, finance, and risk.
Data Engineer
Decskill, an IT consulting firm, is hiring a Data Engineer in Portugal to design ETL data pipelines, automate CI/CD releases, model data for BI, and support end-users on Dataiku and Tableau. Core stack: SQL, Python/PySpark, ETL tools (Alteryx/Talend), with banking/credit-risk context a plus.
Data Engineer
Data Engineer at KWAN, a Portuguese IT staffing firm that places engineers on client projects. You'd migrate data workloads to an Apache Iceberg lakehouse, build batch/streaming pipelines with Spark, Flink and Kafka, integrate APIs with backend teams, and set up data governance with DataHub, using Python/PySpark and SQL.