ETL / Data Engineer – Legacy On-Premises to Azure Migration

Swiss Himmel GmbH

Basel

On-site

CHF 140,000 - 190,000

Full time

6 days ago
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Job summary

Swiss Himmel GmbH seeks an experienced ETL / Data Engineer to modernize a legacy on-prem data platform as it migrates to Azure. The role focuses on maintaining Informatica PowerCenter, PostgreSQL, Unix, and Autosys, while contributing to migration to Azure Databricks and Fabric Data Factory.

You will support data validation, reconciliation, and cloud adoption as workloads run in parallel during the phased migration, with production releases controlled via ServiceNow.

Qualifications

  • 12+ years of experience in ETL development, data engineering, or data warehousing.
  • Hands-on experience with Informatica PowerCenter.
  • Strong PostgreSQL SQL development and performance tuning.
  • Proficient in Unix/Linux and shell scripting.
  • Experience with Autosys job scheduling.
  • Familiar with Power BI and Tableau reporting.
  • Experience with GitLab CI/CD and deployment processes.
  • Working knowledge of PySpark, Azure Databricks, and Microsoft Fabric Data Factory.
  • Experience with Azure DevOps and ServiceNow Change Management.
  • Excellent analytical and troubleshooting skills.

Responsibilities

  • ETL & Data Engineering: develop, maintain, and troubleshoot Informatica PowerCenter mappings, workflows, and sessions.
  • Develop and optimize SQL in PostgreSQL.
  • Build and maintain Unix shell scripts for file processing, job automation, and monitoring.
  • Schedule, monitor, and manage batch jobs using Autosys.
  • Support data quality, validation, and reconciliation across source and target environments.
  • Azure Migration: support migration of ETL workloads to Azure; develop PySpark workloads in Databricks.
  • Support data integration development using Fabric Data Factory.
  • Validate migrated workloads through parallel runs and reconciliation.
  • Contribute to modernization of the data platform.
  • CI/CD & Deployment: manage GitLab CI/CD pipelines and deployments via Azure DevOps.
  • Reporting & Data Support: assist Power BI/Tableau reporting and ensure data accuracy.
  • Production Support & Change Management: root-cause analysis, CRs in ServiceNow, CAB participation.

Skills

ETL development
Data engineering
Data warehousing
SQL development
Analytical skills
Troubleshooting

Education

Bachelor’s degree in relevant field

Tools

Informatica PowerCenter
PostgreSQL
Unix/Linux
Autosys
Power BI
Tableau
GitLab CI/CD
Azure Databricks
PySpark
Microsoft Fabric Data Factory
Azure DevOps
ServiceNow

Job description

ETL / Data Engineer – Legacy On-Premises to Azure Migration

Swiss Himmel GmbH Vacant since : 08.10.2026 Number of jobs : 1 4051 Basel (BS) 100% Immediately Permanent

ETL / Data Engineer – Legacy On-Premises to Azure MigrationLocation: Basel, SwitzerlandCompany: Swiss Himmel GmbHEmployment Type: Full-timeExperience: 12+ yearsDomain: Data Engineering / Data Warehousing / Cloud MigrationAbout Swiss Himmel GmbHSwiss Himmel GmbH is a Basel-based technology and consulting firm partnering with leading enterprises to modernize complex technology and data platforms. We combine strong engineering expertise with practical delivery to support data transformation, cloud migration, enterprise applications, and digital initiatives across regulated industries.About the RoleSwiss Himmel GmbH is looking for an experienced ETL / Data Engineer to support the modernization of a legacy on-premises data platform as it gradually transitions to Azure.The role will initially focus on maintaining and enhancing the existing Informatica PowerCenter, PostgreSQL, Unix, and Autosys environment, while progressively contributing to the migration of workloads to Azure Databricks, PySpark, and Microsoft Fabric Data Factory.The migration will follow a phased approach, with legacy and cloud platforms operating in parallel. The successful candidate will help maintain the stability of the existing platform while supporting data migration, validation, reconciliation, and cloud adoption activities.Project OverviewCurrent Environment

  • Legacy on-premises data warehouse based on Informatica PowerCenter and PostgreSQL.
  • Unix shell scripting for automation and processing.
  • Autosys for batch scheduling and job management.
  • Power BI and Tableau for reporting.
  • GitLab CI/CD for deployment and version control.
  • Target Environment
  • Azure-based data platform.
  • Azure Databricks and PySpark for cloud data processing.
  • Microsoft Fabric Data Factory for data integration.
  • Azure DevOps for development and deployment activities.
  • Migration Approach
  • Phased migration from on-premises to Azure.
  • Legacy and cloud workloads running in parallel during transition.
  • Data validation and reconciliation through parallel processing.
  • Controlled production releases through ServiceNow Change Management.
  • Key ResponsibilitiesETL & Data Engineering
  • Develop, maintain, and troubleshoot Informatica PowerCenter mappings, workflows, and sessions.
  • Develop and optimize complex SQL, functions, and stored procedures in PostgreSQL.
  • Build and maintain Unix shell scripts for file processing, job automation, and monitoring.
  • Schedule, monitor, and manage batch jobs using Autosys, including JIL, dependencies, and failure handling.
  • Support data quality, validation, and reconciliation activities across source and target environments.
  • Azure Migration
  • Support the migration of existing ETL workloads from on-premises platforms to Azure.
  • Develop and maintain PySpark workloads in Azure Databricks.
  • Support data integration development using Microsoft Fabric Data Factory.
  • Validate migrated workloads through parallel runs and data reconciliation.
  • Contribute to the gradual modernization of the existing data platform.
  • CI/CD & Deployment
  • Set up and maintain GitLab CI/CD pipelines for code versioning and deployment.
  • Support Azure DevOps-based development and deployment activities.
  • Ensure controlled and documented deployments across development, testing, and production environments.
  • Reporting & Data Support
  • Support reporting teams with data validation and troubleshooting.
  • Assist with Power BI and/or Tableau reporting requirements.
  • Ensure data consistency and accuracy for downstream reports and business users.
  • Production Support & Change Management
  • Support production environments and troubleshoot data and ETL-related issues.
  • Perform root cause analysis and implement corrective actions.
  • Create, track, and implement Change Requests in ServiceNow.
  • Participate in CAB approvals, implementation activities, and post-implementation reviews.
  • Support production cutovers and migration activities.
  • Maintain stability of the legacy platform throughout the migration.
  • Required Qualifications & Experience
  • 12+ years of experience in ETL development, data engineering, or data warehousing.
  • Strong hands-on experience with Informatica PowerCenter.
  • Strong knowledge of PostgreSQL, including SQL development and performance tuning.
  • Strong experience with Unix/Linux and shell scripting.
  • Hands-on experience with Autosys job scheduling.
  • Experience with GitLab CI/CD and deployment processes.
  • Experience with Power BI and/or Tableau.
  • Working knowledge of PySpark and Azure Databricks.
  • Working knowledge of Microsoft Fabric Data Factory.
  • Working knowledge of Azure DevOps.
  • Hands-on experience with ServiceNow Change Management, including CR creation, CAB approval, implementation, and post-implementation review.
  • Experience supporting production environments and performing root cause analysis.
  • Strong analytical and troubleshooting skills.
  • Good to Have
  • Previous experience with on-premises to cloud data migration.
  • Understanding of ITIL Incident, Problem, and Change Management.
  • Microsoft Azure or Fabric certifications such as DP-700, DP-600, or AZ-900.
  • Experience working in Agile environments.
  • Experience supporting large enterprise data warehouse platforms.
  • Why Join Swiss Himmel GmbH?
  • Work on a large-scale on-premises to Azure data modernization program.
  • Gain hands-on exposure to Azure Databricks, PySpark, and Microsoft Fabric.
  • Work with enterprise data platforms and complex migration environments.
  • Collaborate with experienced data engineering, infrastructure, and business teams.
  • Opportunity to contribute to both legacy platform stability and cloud transformation.
  • Professional and collaborative working environment in Basel.
  • Long-term career growth opportunities within Swiss Himmel GmbH.
  • Competitive Swiss compensation and benefits.
  • Work location 4051 Basel (BS)
  • Workload 100%
  • Employment start Immediately
  • Employment duration Permanent
  • Qualification skilled
  • Work experience More than 3 years
  • Education Bachelor’s degree from a university of applied sciences or equivalent
  • English Orally : Very good knowledge Written : Very good knowledge
  • German Orally : Good knowledge Written : Basic knowledge
  • By email anisha.sharma@swisshimmel.com
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