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Data Engineer
vor 4 Wochen
For an exciting project with our client in Zurich (remote work only possible within Switzerland), we are looking for a Data Engineer (m/f/d).
Key Facts
Start: 02.05.2025
Duration: 6 months / + Verlängerungsoption
Capacity: 100 %
Employment type: Personal leasing
Job site: Zürich
Job country: Schweiz
Your tasks
• Responsible for the datasets and data pipelines preparation, support for Business, data troubleshooting
• Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
• Implementation and promotion of Data Platform, transformative data processes, and services
• Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
• Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)
• Resolving and troubleshooting data related issues and queries
• Covering all processes from enterprise reporting to data science (incl. ML Ops)
• Requirements Gathering: Document what GDP can currently do versus what it should be able to do (GAP Analysis), including historization and reporting capabilities
Must have competences
• Hands-on Big Data experience using common open source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, K8S, Kafka)
• Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
• Experience in stakeholder management in heterogeneous business/technology organizations
• Experience in banking or financial business, with handling sensitive data across regions
• Well versed in large data migration projects with on-prem Data Lakes
• Hands-on experience in integrating Data Science Workbench platforms (e.g. Knime, Cloudera, Dataiku))
• Track record in Agile project management and methods e.g., Scrum, SAFe)
• Fluent in English, good knowledge of German is beneficial
Nice to have competences
• Higher education e.g. "Fachhochschule","Wirtschaftsinformatik")
• Experience in Business Analysis in the context of Financial Institutions
• Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions
• Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs
• Experience in data preparation for reporting/analytics and visualization tools (e.g Tableau, Power BI or Python based)
• Versed in applying a data quality framework within the architecture
Let's power the future together
From Business Case to Implementation: As a leading consulting firm for strategic transformations, we are a trusted partner for our clients—and for our employees. Responsible, high-performing, and always with a focus on people. #WeAreWavestone
With our 360° portfolio of consulting services, we combine top-tier industry expertise with a wide range of cross-sector skills, work interdisciplinary, and think outside the box. This allows us to offer our partner companies and freelancers comprehensive perspectives within our own projects, while also supporting them as a long-standing framework agreement partner in filling project vacancies—promptly and directly.
We look forward to hearing from you
Your direct contact at Wavestone
Vivek Kandiah
Phone: +41 76 223 85 15
E-Mail: vivek.kandiah@wavestone.eu
