Offer summary

Qualifications:

Experience with AWS data services such as Glue, Lambda, and Redshift., Strong skills in data engineering, including ETL processes and data warehousing., Proficiency in scripting languages like Python and SQL, with knowledge of infrastructure automation tools., Basic understanding of Azure cloud platform is preferred..

Key responsibilities:

Design and implement scalable data solutions on cloud platforms.

Develop and optimize data pipelines and ETL processes.

Ensure data quality, security, and compliance through governance policies.

Collaborate with cross-functional teams to deliver cloud-based data solutions.

Job description

Transporeon is a SaaS company founded in 2000 in Ulm, Germany. The company provides logistics solutions across several areas, including:

Buying & selling of logistics services
Organizing shipment execution
Organizing dock, yard, truck, and driver schedules
Invoice auditing for logistics services

It has grown significantly over the years, reaching €150m in revenue before being acquired by Trimble for $2 billion USD in 2022. Transporeon has one of the largest networks of shippers and carriers in Europe, with approximately 1,400 employees: https://www.transporeon.com/en

Your daily tasks...

Design and implement scalable data solutions on AWS, including data lakes, warehouses, and streaming systems. (We might migrate our data lake to Azure, that is why Azure knowledge is beneficial).
Develop, optimize, and maintain data pipelines using AWS services.
Implement robust ETL/ELT processes and event-driven data ingestion.
Establish and enforce data governance policies, ensuring data quality, security, and compliance.
Optimize cloud resources for performance, availability, and cost-efficiency.
Partner with cross-functional teams to gather requirements and deliver comprehensive cloud-based solutions.
Identify opportunities to enhance systems, processes, and technologies while troubleshooting complex technical challenges.

Our current tech-stack...

AWS: Glue, Lambda, Step Function, Batch, ECS, Quicksight, Machine Learning, Sagemaker, etc.
DevOps: Cloudformation, Terraform, Git, CodeBuild
Database: Redshift, PostgreSQL, DynamoDB, Athena
Language: Bash, Python, SQL
AI: Cursor

What do you bring with...

Experience in AWS platforms, including data services. Basic knowledge of Azure is preferred.
Experience in data engineering, strong competence in ETL processes, data warehousing, and big data technologies.
Advanced skills in scripting, Python, SQL, and infrastructure automation tools.
Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
Experience with data visualization tools (e.g., QuickSight) is a plus.
Openness to work daily with AI tools like Cursor.
Ability to work independently and responsibly and in case you are not living in a location of our offices, self-discipline and interpersonal skills to be happy to work remotely.

Job Location
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.

Our Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.

We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.

Required profile