Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: As a Data Warehouse Engineer, you'll manage data, optimize processes, and ensure data quality.
- Arbeitgeber: PAUL Tech AG is a tech leader focused on making buildings carbon neutral through innovative solutions.
- Mitarbeitervorteile: Enjoy 30 vacation days, private health insurance, fitness subsidies, and regular company events.
- Warum dieser Job: Join us to combat climate change while working in a collaborative environment with meaningful impact.
- Gewünschte Qualifikationen: You need experience in DWH development, strong SQL skills, and familiarity with AWS data stack.
- Andere Informationen: Work in Berlin or Mannheim with a permanent contract and above-average salary.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
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 Assurance
- 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.
#J-18808-Ljbffr
Data Warehouse Engineer (m/f/d) Arbeitgeber: PAUL Tech AG
Kontaktperson:
PAUL Tech AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Warehouse Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific data technologies mentioned in the job description, such as AWS services like S3, Redshift, and Athena. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Highlight your experience with data modeling and ETL/ELT processes in conversations or interviews. Be prepared to discuss specific examples where you've successfully implemented these practices to improve data quality and reporting.
✨Tip Number 3
Since stakeholder communication is key for this role, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between technical and business teams.
✨Tip Number 4
Show your passion for sustainability and combating climate change during your interactions. Aligning your personal values with the company's mission can create a strong connection and demonstrate your commitment to their goals.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Warehouse Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Company Mission: Familiarize yourself with PAUL Tech AG's mission to make buildings carbon neutral. Highlight how your skills and experiences align with their goal of combating climate change in your application.
Tailor Your CV: Customize your CV to emphasize your experience as a Data Warehouse Engineer, particularly focusing on your proficiency in T-SQL/SQL, ETL/ELT procedures, and any relevant projects involving AWS data stack.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of data management and your ability to communicate effectively with stakeholders. Mention specific examples of how you've improved data quality or optimized processes in previous roles.
Highlight Team Collaboration Skills: Since the role involves collaboration with various teams, make sure to include examples of successful teamwork in your application. Emphasize your user-orientation and ability to work independently while being a team player.
Wie du dich auf ein Vorstellungsgespräch bei PAUL Tech AG vorbereitest
✨Understand the Company Mission
Make sure you are familiar with PAUL Tech AG's mission to make buildings carbon neutral. Be prepared to discuss how your skills as a Data Warehouse Engineer can contribute to this goal.
✨Showcase Your Technical Skills
Highlight your experience with data warehouse models, T-SQL/SQL, and ETL/ELT procedures. Be ready to provide examples of past projects where you successfully implemented these skills.
✨Emphasize Collaboration
Since the role involves working closely with various teams and stakeholders, demonstrate your ability to communicate effectively and translate business requirements into technical solutions.
✨Prepare for Process Optimization Questions
Be ready to discuss how you've previously monitored, optimized, and troubleshot data solutions. Think of specific instances where you improved processes and the impact it had on the organization.