Join a team where Databricks is at the heart of the engineering strategy and where your work powers largescale financial platforms used across global markets
Location Flexible Hybrid in Lisbon
Contract Fulltime, direct contract with a global technology consulting leader
Our client is a worldrenowned technology consulting company partnering with a major multinational in banking and financial services. This longterm program is part of a data and cloud modernization journey centred on Databricks, scalable architectures and highquality data products. You will join an international engineering environment dedicated to transforming complex data into reliable, governed and businesscritical assets.
Responsibilities
Build, optimize and maintain end-to-end Databricks pipelines, ensuring performance, reliability and scalability.
Apply Medallion Architecture principles to design structured, maintainable and productionready data layers.
Develop distributed processing solutions with PySpark, aligned with best engineering practices.
Design and orchestrate workflows using ADF and Airflow, improving automation and observability.
Contribute to the evolution of Databricks Lakehouse standards, performance tuning and cluster optimization.
Integrate CI/CD practices using Azure DevOps, with automated testing and version control.
Collaborate closely with data scientists, architects and business stakeholders to operationalize data products and ensure alignment with financialsector requirements.
Support governance, security and documentation across the Databricks ecosystem.
Required Skills
Strong, demonstrable experience with Databricks as the primary engineering platform.
Solid understanding of Medallion Architecture and modern lakehouse principles.
Proficiency in PySpark and distributed processing frameworks.
Experience with Azure Data Factory, Airflow and workflow orchestration.
Familiarity with Azure DevOps CI/CD, Git workflows and automated deployments.
Comfortable working in Agile, collaborative and multicultural environments.
Nice to Have
Advanced experience with Azure DevOps for pipeline automation.
Background in data testing or test framework development.
Exposure to investment banking or financial services data landscapes.
Ready to take the next step?
Apply now and join an international Databricksdriven project shaping the future of digital innovation in financial services.
... in data engineering, automation, and analytics; - Work closely with cross-functional teams to deliver high-quality and scalable solutions. Your Key Skills - Data Engineering; - Python and PySpark; - ETL Development. Your Main Qualifications - Previous experience as a Data Engineer or in a similar data-focused role; - Strong ...
... experience as a Data Engineer , with strong hands-on expertise in SAS . - Experience with PowerCenter and SAP BO . - Solid knowledge of SQL / T-SQL, ETL/ELT, data modelling, and Data Warehousing concepts. - Hands-on experience with data platforms, pipelines, and large-scale data environments . - Experience with Shell scripting ...
... with us. The Role We are looking for a talented Data Engineer to help us build and maintain robust, scalable, and efficient data infrastructure - from ingesting data from third-party sources, to the pipelines and orchestration that move our data, to the models that shape it. Working closely with analytic engineers, analysts, ...
... offering the French and European markets an environment of excellence and high potential. Data Engineer This is your mission Are you passionate about data engineering, automated data pipelines, and transforming complex data into reliable business insights? Then this position is for you. As an Apache NiFi Data Engineer ...
... Este pode ser o desafio perfeito, se tiveres: - +5 anos de experiência como Data Engineer - Experiência sólida com Python, PySpark e SQL - Experiência com Azure Databricks e Azure Synapse - Conhecimentos de Azure Data Lake e Azure Data Factory - Experiência em modelação de dados (Data Vault, Dimensional, ER) - Prática com ...
... Este pode ser o desafio perfeito, se tiveres: - +5 anos de experiência como Data Engineer - Experiência sólida com Python, PySpark e SQL - Experiência com Azure Databricks e Azure Synapse - Conhecimentos de Azure Data Lake e Azure Data Factory - Experiência em modelação de dados (Data Vault, Dimensional, ER) - Prática com ...
... Information Systems, Data Management, Computer Science, or a related field. Certification in cloud data services or data engineering (e.g. Microsoft Azure Data Engineer, GCP, or AWS) is a plus. - 3+ years in a data engineering, BI engineering, or data platform delivery role. - Hands-on experience with cloud-native data tools ...
... comunicação, análise e resolução de problemas - Ágil para continuamente compreender as necessidades de negócio - Experiência em Python e SQL, conhecimento de Airflow e Databricks é um plus - Gosto por atividade física e/ou desporto Que funções irão desempenhar - Construir estruturas que otimizem a extração, transformação, migração ...
... experience, including proven experience in Data Architecture, Solution Architecture and complex data solution design. - Degree in Computer Engineering, Software Engineering or a related field. - Advanced knowledge of relational and NoSQL databases, data modelling, Data Warehouse, Data Lake, Lakehouse and Big Data technologies. ...
... https://jobeax.com/link/D9uzoCexpmlmqHhJ Description Reporting to the Head of Data & BI, the Senior Data Engineer will join a hybrid (Liège / Porto) team composed of Data Engineers and Data Analysts. He/she will contribute to the continuous evolution of EVS's data platform while promoting engineering excellence, knowledge sharing and modern data ...