OverviewJoin to apply for the Staff Data Engineer / Data Architect role at Trimble Inc.Transporeon is a SaaS company founded in 2000 in Ulm, Germany. The company provides logistics solutions across several areas, including buying and selling logistics services, organizing shipment execution, dock / yard / truck and driver schedules, and invoice auditing for logistics services. It was acquired by Trimble for $2 billion USD in 2022. We are seeking a highly skilled Staff Data Engineer / Data Architect 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 excellent technical guidance and communication skills. This role requires a strong technical background in cloud platforms, data architecture, and engineering best practices.
Responsibilities

Lead the 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.

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 you bring to the table

Min. 8 years of proven experience as a Data Engineer with current focus on data architecture design.
Extensive experience with AWS and Azure cloud platforms and their 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, Python, and other relevant programming languages.
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.
Excellent leadership, communication, and interpersonal skills.
Ability to work in a fast-paced, dynamic environment.
Strong problem-solving and analytical skills.
Familiarity with data visualization tools (e.g., Power BI, QuickSight) is a plus.
Openness to use AI as a daily tool.

Location
Remote role in the following countries : Estonia, Latvia, Lithuania, Poland, Slovakia, Hungary, Romania, Portugal, Spain, Italy, Croatia. We are not offering freelancing contracts, only local employment contracts.
Inclusiveness
We believe in celebrating our differences. Diversity, Equity, and Inclusion guide our current success and our ongoing improvement. We actively seek to add colleagues who represent our customers and the places we live and work. We have programs to ensure our people are seen, heard, and welcomed, and that they know they belong, no matter who they are or where they come from.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

Software Development

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