Azure Data Engineer at Bosch Group

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

02 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Azure Databricks, Data Pipelines, Data Processing, Python, Scala, ETL, ELT, Azure Storage Accounts, Blob Storage, Data Lake Storage, Cost Optimization, Automation, Access Controls, Security Configuration, Infrastructure As Code, CI/CD

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization. Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide. Job Description Your contribution to something big: Design, implement, and optimize Azure-based architectures for data platforms. Configure and manage Azure Databricks environments including development, monitoring, and performance tuning. Build and orchestrate data pipelines using tools such as Azure Data Factory, Delta Lake, and Databricks workflows. Apply strong security configuration practices, including the use of Azure Key Vault, RBAC, private endpoints, and network security settings. Ensure compliance with data governance standards and internal security policies. Analyze and troubleshoot cloud-based data workflows for performance and reliability. Define and implement Infrastructure as Code and CI/CD pipelines for deployment and lifecycle management of data components. Qualifications What distinguishes you: Expertise in building and orchestrating data pipelines (ADF, Azure Databricks), conducting data processing and transformation (batch and streaming), scripting in Python or Scala, configuring clusters, and optimizing workloads for performance and cost. Proficient in creating and managing complex ETL/ELT workflows, with secure integration across hybrid and multi-cloud environments. Strong understanding of firewall rules, linked services, and data movement strategies. Understanding of Azure Storage Accounts, including Blob Storage and Data Lake Storage, with hands-on experience managing metadata, access tiers, lifecycle policies, and securing storage via SAS tokens and RBAC. Knowledge of the Azure ecosystem with hands-on experience in designing, deploying, and maintaining cloud-native data solutions. Skilled in cost optimization, automation, and secure resource management. Managing secrets, certificates, and encryption keys, with automated key rotation and seamless integration with other Azure services. Skilled in designing and enforcing access controls through custom roles, resource scopes, and principle of least privilege strategies. Additional Information What we offer you: Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity. Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application! Legal Entity: Bosch Service Solutions S.A.

Responsibilities

Design, implement, and optimize Azure-based architectures for data platforms. Build and orchestrate data pipelines using tools such as Azure Data Factory and Databricks workflows.