Data Engineer mfd RefNr 44412
Data Engineer mfd RefNr 44412
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1 Vacancy
Job Description
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 / Verlngerungsoption
Capacity: 100
Employment type: Personal leasing
Job site: Zrich
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 codesign 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 reuse 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
Handson 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 onprem Data Lakes
Handson 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. FachhochschuleWirtschaftsinformatik)
Experience in Business Analysis in the context of Financial Institutions
Knowledge of reference architectures especially concerning integrated datadriven 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
Lets power the future together
From Business Case to Implementation: As a leading consulting firm for strategic transformations we are a trusted partner for our clientsand for our employees. Responsible highperforming and always with a focus on people. #WeAreWavestone
With our 360 portfolio of consulting services we combine toptier industry expertise with a wide range of crosssector 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 longstanding framework agreement partner in filling project vacanciespromptly and directly.
We look forward to hearing from you!
Employment Type
Full Time
