Data Engineer

TastyUrban; Berlin; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Join an innovative multi-brand food franchise start-up at a pivotal stage of growth! As a Data Engineer, you will design and maintain data pipelines, ensuring timely data delivery while collaborating with various teams. This role demands proficiency in Python and SQL, with a strong understanding of data architecture. TastyUrban offers a dynamic work environment that fosters creativity and collaboration, providing exciting opportunities for professional growth. If you're ready to make an impact in a fast-paced startup, this position is perfect for you!

Leistungen

Competitive salary and equity package

Dynamic work environment

Company bike leasing

Weekly free team lunches

Qualifikationen

• 3-5 years of experience in data engineering or related role.
• Proficiency in Python and SQL for data manipulation and automation.
• Knowledge of data modeling and data governance principles.

Aufgaben

• Design and maintain scalable data pipelines for data collection and delivery.
• Automate ETL processes for efficient data flow.
• Develop and maintain databases and data warehouses for analytics.

Kenntnisse

Python

SQL

Data Pipeline Automation

Data Architecture

Problem-Solving

Communication

Collaboration

Adaptability

Ausbildung

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Information Systems

Tools

Apache Airflow

Luigi

AWS

Google Cloud

Azure

MySQL

PostgreSQL

MongoDB

Redshift

BigQuery

Snowflake

Jobbeschreibung

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Strategy @ Tasty Urban | Operations | Venture Development

DISCLAIMER: JOB IS BASED IN BERLIN AND REQUIRES ON SITE PRESENCE!

About TastyUrban:

TastyUrban is an innovative multi-brand food franchise start-up. We work with internationally acclaimed Chefs to develop best in market delivery-first food concepts, which are licensed out to local restaurant partners. TastyUrban is looking for a Data Engineer to join us at this exciting stage. You will help us grow and elevate our business across Germany and internationally.

Job Summary:

The Data Engineer will be responsible for designing, building, and maintaining data pipelines that ensure the timely delivery of data. This role requires proficiency in Python and SQL, as well as experience with data pipeline planning and automation. The ideal candidate will have a strong understanding of data architecture and the ability to work collaboratively with various teams to support our data needs.

Key Responsibilities:

1. Design, build, and maintain scalable data pipelines to collect, process, and deliver data from various sources. Ensure data quality and integrity through rigorous testing and validation.
2. Automate data collection, transformation, and loading (ETL) processes to ensure efficient data flow.
3. Implement data integration solutions to consolidate data from multiple sources.
4. Develop and maintain databases, data warehouses, and data lakes to support analytics and business intelligence. Optimize database performance and query efficiency.
5. Create and maintain comprehensive documentation for data pipelines, processes, and systems.
6. Stay up-to-date with industry best practices and emerging technologies in data engineering.

Qualifications:

• Must be based in Berlin.
• Fluent in English, with German language strongly preferred.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Minimum of 3-5 years of experience in data engineering or a related role.
• Proficiency in Python and SQL for data manipulation and automation.
• Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi).
• Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure).
• Strong understanding of database management systems (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
• Knowledge of data modeling, data architecture, and data governance principles.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Key Skills:

1. Technical Expertise: Deep understanding of data engineering principles, tools, and technologies.
2. Analytical Skills: Ability to analyze complex data requirements and design efficient solutions.
3. Automation Mindset: Proficiency in automating data processes to improve efficiency and accuracy.
4. Collaboration: Strong interpersonal skills to work effectively with cross-functional teams.
5. Adaptability: Ability to thrive in a fast-paced, dynamic startup environment and adapt to evolving priorities.

Why Join Us:

• Compensation: Competitive salary and equity package
• Exciting Growth Phase: Join us at a pivotal moment as we scale our business across Germany and internationally, offering exciting opportunities for professional growth and impact.
• Dynamic Work Environment: Enjoy a fast-paced, entrepreneurial culture where innovation, creativity, and collaboration are encouraged with flat hierarchy structures across the team
• Company Bike Leasing
• Weekly Free Team Lunches: we have a great kitchen and love to order lots of great food!

Seniority Level

Mid-Senior Level

Employment Type

Full-time

Job Function

Information Technology

Industries

Technology, Information and Internet