PAUL Tech AG is a technology leader in the real estate industry with the mission to make buildings carbon neutral. Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This reduces CO2 emissions and energy costs. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the common goal of developing intelligent solutions for buildings to combat climate change.

As a Data Warehouse engineer (m/f/d) in Berlin or Mannheim, you will play a pivotal role in utilizing data to inform and drive strategic business decisions. Collaborating closely with various teams and business partners, you gain a comprehensive understanding of business domains and processes, create and analyze diverse datasets.

Key Responsibilities

Holistic Data Management

Your work comprises the full spectrum of data management, including data modelling, data integration, as well as aggregating data for analytical consumption and reporting

Data Modeling

Develop a data model that allows accurate and consistent reporting and self-service analysis

Data Quality Ensurance

You work on advancing data quality and ensure consistency

Process optimization

Proactively improve processes, monitoring, optimizing and troubleshooting our data solutions (running Athena/Snowflake and Airflow)

Stakeholder Communication

You will be in direct contact with stakeholders and analysts from business departments, understanding their business requirements and translating them into technical solutions

What you will bring

Profound experience as a DWH developer
Profound experience with data warehouse models
Strong T-SQL / SQL skills, with proven ability to code effectively preferably Python
Practiced and proficient in ETL/ELT procedures, data migration, integration, or data quality concepts
Solid experience with RDBMS like Postgres plus strong NoSQL and unstructured datastore skills
You have worked with the AWS data stack in the past (e.g: S3, Redshift, Lambda, Athena etc.)
Team player, highly motivated, able to work independently with extreme user-orientation

Are you convinced ? Then we offer

A meaningful job that contributes to global CO2 savings
A collegial working atmosphere with short decision paths
A permanent contract with an above-average salary
30 days vacation per calendar year plus 24.12. and 31.12. off
Company private health insurance and supplementary pension
Company fitness subsidy in your region
Regular company events to which you are very welcome
Tram ticket as well as drinks and fruit in our offices

Jobs at PAUL Tech AG

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