We are looking for a highly skilled Senior Data Engineer for our Data and Cloud Engineering team with expertise in AWS and Azure. The ideal candidate will have a strong technical background in designing, building, developing, and implementing data pipelines and cloud solutions along with great technical guidance and communication skills.

Your daily tasks...

• Design and implement robust, scalable, and secure cloud-based data pipelines and architectures in AWS (later maybe migrating to MS Azure).
• Ensure best practices in code quality, architecture, and design.
• Design and implement secure, scalable, and high-performance cloud infrastructure.
• Manage cloud resources, optimize costs, ensure high availability and disaster recovery.
• Automate infrastructure provisioning and deployment processes using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and ARM templates.
• Collaborate with cross-functional teams to understand data needs and deliver comprehensive cloud solutions.
• Oversee cloud infrastructure management, including monitoring, maintenance, and scaling of cloud resources.
• Ensure compliance with industry standards and regulatory requirements.
• Implement data governance policies and practices and ensure high data quality, integrity, and security across all cloud platforms.
• Identify and implement process improvements to enhance efficiency, quality, and scalability of data engineering and cloud operations.
• Stay current with emerging technologies and industry trends to drive innovation. Utilize AI to increase our efficiency.

Our tech-stack...

• Infrastructure: Glue, Lambda, Step Function, Batch, ECS, Quicksight, Machine Learning, Sagemaker, Dagster
• DevOps: Cloudformation, Terraform, Git, CodeBuild
• Database: Redshift, PostgreSQL, DynamoDB, Athena (Trino), Snowflake, Databricks
• Language: Bash, Python (PySpark, Pydantic, PyArrow), SQL

What do you bring to the table...

• Min. 5 years of proven experience as a Data Engineer with proven track record of delivering production-grade data pipelines.
• Hands-on experience with AWS cloud platform and its data services (e.g., AWS Redshift, AWS Glue, AWS S3, Azure Data Lake, Azure Synapse, Snowflake, Databricks).
• Strong understanding of ETL processes, data warehousing, and big data technologies.
• Proficiency in SQL and Python, comfortable with Spark jobs.
• Experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, or ARM templates.
• Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).
• Understanding of cloud cost management and optimization strategies.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Familiarity with data visualization tools (e.g., Power BI, QuickSight) is a plus.
• Openness to use AI, in our case Cursor, as your daily tool.

Job Location
On-site in Ulm, Germany or Tallinn, Estonia or remote role in following countries: Estonia, Latvia, Lithuania, Poland, Slovakia, Hungary, Romania, Portugal, Spain, Italy, Croatia. We are not offering freelancing contract, only local employment contract.
 

How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

Application Deadline: Applications could be accepted until at least 30 days from the posting date.

Join a Values-Driven Team: Belong, Grow, Innovate. 

At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter. 

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