Driven by innovation and excellence,Pictet Technologieshas been shaping the future since 2016. As thetechnology center of the Pictet Group (Founded in Geneva in 1805),we are proud to support one of Europe's leading independent wealth and asset managers by developing cutting-edge solutions for its business lines.Recognized as aGreat Place to Workfor eight years, we first established ourselves in Luxembourg before expanding to Lisbon in 2022. Today, we are entering a new phase with thekick-off of our Data Engineering team in Lisbon. Our ambition is clear: to grow a strong team of experts and build a thrivingcommunity of specialistsacross locations. We are looking for passionate individuals eager to be part of this new chapter. You will join adynamic and collaborative environment, contribute to meaningful projects, and help shape the future ofData Engineering at Pictet Technologies, always with a long-term vision and a deep commitment to the Group's success.We are seeking 5 Data Engineers with expertise in cloud-native data pipeline development within AWS environments and Snowflake, medior, senior and lead profiles. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement high-performance data solutions that support our business objectives. You will join the Scrum team of one of our product as part of the development team and collaborate with data analysts and internal teams to ensure the delivery and the run of the product in line with the sprint backlog.In this context, your role will include: Data Pipeline Development: Implement cloud-based data pipelines to transform raw data from various sources (e.g. APIs, FTP, SFTP) into structured formats. Architect and deploy high-performance (batch and streaming) data pipelines with monitoring and alerting system implemented for data analysts and business users. Data Management: Assemble and manage large, complex datasets that meet both functional and non-functional business requirements. Support data governance initiatives by cataloguing and describing metadata. Implement functional and non-functional tests on data. Data Modelling and Analysis: Perform data modelling and design appropriate database objects (views, tables, procedures, scripts). Analyze and optimize queries for performance and scalability. Collaboration and Support Production: Participate in troubleshooting, monitoring, and user support activities. Work closely with cross-functional teams to gather requirements and implement solutions. Continuous Improvement: Code according to established architecture guidelines and focus on improving the scalability and performance of data products. Stay updated with the latest industry trends and technologies to enhance data engineering practices.Our ideal candidates should have: Mandatory skills University degree in Engineering or related discipline Proven experience indata pipeliningand related technologies on AWS (S3, ECS, Lambda, RDS, SNS/SQS, IAM, Cloudwatch) Extensive experience withanalytical database programming(SQL) and unstructured data/graph databases Good skills in writing complexSQLqueries, knowledge of DBT core is a plus Proficient inPythonand data-related libraries (e.g. Pandas, Boto3) Strong understanding ofdata platform architectureanddata governance principlesReel asset Deep knowledge of developing on Snowflake is a plus Adoption of CI/CD practices Experience using orchestration tools (e.g. Step Function, Airflow, Prefect) Experience with version control tool such as GitHub or GitLab Knowledge of data visualization tools (e.g., Tableau) is a plus Knowledge of Infrastructure as code (e.g. CloudFormation, Terraform) AWS certification (e.g., Solution Architect or equivalent) is preferred Snowflake certification (e.g. SnowPro Core) is preferredIn addition to solid technical knowledge and experience, we are looking for passionate individuals with a well-rounded personality and a good sense of humour: we don't compromise on these.Work Expectations & Flexibility Hybrid model:at least2 days in the office Flexible working hours:choose the rhythm that works for you and your team A culture based ontrust, ownership and technical excellenceWork Environment & Engineering Culture Modern engineering environmentwith high standards and best practices Premium hardware(recent MacBook Pro + latest iPhone) Access tocutting-edge technologiesand opportunities to influence technical decisions Acollaborative tech culture: knowledge sharing, peer reviews, engineering discussions A safe place toprototype, challenge ideas and drive innovation An organization whereyour voice mattersand your impact is tangible Our values are non-negotiable:excellence, integrity, respect — and funLimited travel required. Please note that a Portuguese valid work permit is required. Thank you. Please note that only applications meeting the key requirements will be considered.If you are passionate about software technologies, get in touch and contact us at Follow us on LinkedIn, Medium, Instagram, Facebook