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Data Engineers

Posted on Sep 24, 2021 by Hadron Finsys GmbH

Not Specified, Switzerland
Immediate Start
Annual Salary

Our client is located in Zürich, Switzerland and with immediate start they are looking for Data Engineers to join their teams. This is a contract position and can be remote, but only within Switzerland.

Key tasks

  • Responsible for creating and distributing ad-hoc reports across a wide range of solutions and in changing complexity levels that cater to varying business needs. We provide a standalone request & response service model as well as direct collaboration with data science teams to build up data solutions.
  • Data assurance & profiling in sourcing, maintain & monitor data quality during data curation & transformations:
  • Uphold high standards for timely ad-hoc report creation using SQL reporting tools
  • Advise and support internal clients, analyze incoming requests, generate ad-hoc reports, check the results and distribute data extracts on time
  • Collect and combine data from multiple sources, clarify data requirements, analyze for insights and produce requested information
  • Using Front End and Back End tools to analyze incoming requests and verify, document for efficient auditing
  • Data Engineering task such as building up data pipelines, retrieve and merge different data sources and models using Scripting languages
  • Hybrid Cloud Journey: Provide available data capabilities in cloud environment; journey to deliver cloud-based/state-of-the-art data platform
  • Knowledge of and in-depth interest to learn banking processes and associated data dependencies
  • Close collaboration with Data Scientists to prototype Advanced analytics solutions


  • Knowledge of the inter-connections between banking products, processes and applications
  • 3+ years of experienced in SQL Scripting and knowledge in Scripting languages (eg R, Python, Java)
  • Strong analytical mindset
  • Knowledge of Microsoft Azure
  • Strong expertise in Data Warehouse structures
  • Proven experience in ETL: Data Sourcing, collecting, cleansing, transformation, preparation and data validation
  • Expertise and Knowledge of Data Pipelines and related Automation
  • Understanding of Big Data Analytics infrastructure (experience in Spark nice to have)
  • Consultancy and support into definition of datasets based on statistical knowledge
  • Expertise/understanding in IT Infrastructure Library (ITIL) approaches

Reference: 1332747025

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