Data Engineer - Senior

Jobgether; Schweiz; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Fully remote

Remote work from Slovenia

Zusammenfassung

Jobgether is seeking a Senior Data Engineer in Switzerland for a remote role within a large-scale digital transformation. You will design, develop, and maintain scalable data solutions using Azure Data Factory, Databricks, Synapse Analytics, and Delta Lake, turning diverse sources into analytics-ready datasets.

The ideal candidate has 5+ years Python and SQL, 3+ years Azure services, Delta Lake experience, Git, and strong data engineering fundamentals.

Qualifikationen

• 5+ years of hands-on experience with Python and SQL.
• 3+ years of experience with Azure services (Azure Storage, Azure SQL, Azure Synapse, and Azure networking).
• 3+ years of hands-on experience with Azure Databricks and Delta Lake.
• 3+ years of experience designing data solutions and developing trusted, analytics-ready datasets.
• 4+ years of experience with version control systems, particularly Git.
• 1 year of practical experience using AI tools for code generation, data analysis, automation, or related tasks.
• Strong understanding of data engineering principles, ETL/ELT, data integration, and data pipeline development.
• Advanced SQL development and data transformation capabilities.
• Proven experience with cloud-based data platforms and modern data architectures.
• Strong analytical and problem-solving abilities, with a structured approach to diagnosis and resolution.
• Excellent communication and collaboration skills; ability to work with both technical teams and business stakeholders.
• Ability to work independently in a remote environment with ownership and delivery focus.

Aufgaben

• Design, develop, and maintain scalable data solutions for a large-scale transformation program.
• Build and optimize ETL/ELT pipelines to create analytics-ready datasets.
• Develop cloud-based data solutions using the Microsoft Azure ecosystem (Azure Data Factory, Databricks, Synapse, Data Lake Gen2, SQL).
• Use Python and SQL to build data transformations and workflows.
• Design and manage data models and architectures emphasizing scalability, reliability, and quality.
• Work with Azure Databricks and Delta Lake to optimize data processing and storage.
• Collaborate with stakeholders to translate requirements into data engineering solutions.
• Apply Git and engineering best practices for maintainable development.
• Leverage AI-powered tools for code generation, data analysis, automation, and optimization.
• Troubleshoot issues and improve pipeline performance and reliability.
• Communicate technical concepts clearly across teams.

Kenntnisse

Python

SQL

analytical thinking

communication

problem solving

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage Gen2

Azure SQL

Delta Lake

Git

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer - Senior based in Switzerland.

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions that support reliable, analytics-ready information across the organization. Working closely with business stakeholders, product owners, architects, and technical teams, you will help turn diverse data sources into trusted and usable datasets. The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data architectures. You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Python, SQL, and Delta Lake. This is an environment where strong engineering practices, problem-solving, and data quality directly contribute to business and technology outcomes.

Accountabilities

• Design, develop, and maintain scalable, reliable data solutions supporting a large-scale digital transformation program.
• Build and optimize robust ETL/ELT pipelines that integrate data from diverse sources into trusted, analytics-ready datasets.
• Develop cloud-based data solutions using the Microsoft Azure ecosystem, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and related services.
• Use Python and SQL to develop data transformations, processing workflows, integrations, and analytical data solutions.
• Design and manage data models and architectures that support scalability, reliability, performance, and data quality.
• Work extensively with Azure Databricks and Delta Lake to build and optimize modern data processing and storage solutions.
• Collaborate with business stakeholders, product owners, data architects, and technical teams to understand requirements and translate them into effective data engineering solutions.
• Apply version control and engineering best practices using tools such as Git to support maintainable, collaborative development.
• Leverage AI-powered tools where appropriate for code generation, data analysis, automation, optimization, and other data engineering activities.
• Troubleshoot technical issues, optimize data workflows, and continuously improve pipeline performance, reliability, and maintainability.
• Communicate technical concepts clearly and contribute to effective collaboration across business and technical teams.

Requirements:

• At least 5 years of hands-on experience with Python and SQL in a data engineering environment.
• At least 3 years of experience working with Azure services, including Azure Storage, Azure SQL, Azure Synapse, and Azure networking.
• At least 3 years of hands-on experience with Azure Databricks and Delta Lake.
• At least 3 years of experience designing data solutions and developing trusted, analytics-ready datasets.
• At least 4 years of experience with version control systems, particularly Git.
• At least 1 year of practical experience using AI tools for code generation, data analysis, automation, optimization, or related data engineering tasks.
• Strong understanding of data engineering principles, ETL/ELT processes, data integration, and data pipeline development.
• Advanced SQL development and data transformation capabilities.
• Proven experience working with cloud-based data platforms and modern data architectures.
• Strong analytical and problem-solving abilities, with a structured approach to diagnosing and resolving complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively with both technical teams and business stakeholders.
• Ability to work independently in a remote environment while maintaining strong ownership, organization, and delivery focus.

Benefits:

• Fully remote position, offering flexibility to work from Slovenia.
• Opportunity to contribute to a large-scale digital transformation initiative with significant data engineering scope.
• Work with a modern Microsoft Azure cloud data ecosystem and widely used data engineering technologies.
• Exposure to advanced platforms and tools including Azure Databricks, Delta Lake, Azure Synapse, Azure Data Factory, Python, and SQL.
• Opportunity to apply AI-powered engineering tools to improve development, automation, analysis, and optimization.
• Collaboration with multidisciplinary teams including business stakeholders, product owners, data architects, and technical specialists.
• Opportunity to work on scalable, production-focused data solutions with direct business impact.
• Remote working environment designed to support autonomy and flexibility.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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