data engineer in logistics and eCommerce

Enfint; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Learning budget €1,000 for development

Bonus program linked to performance

30 days holiday per year

Monthly team events and offsites

Referral rewards for new hires

Berlin office space with equipment

Zusammenfassung

GLS/NXT is expanding its data-driven capabilities in Berlin, seeking an experienced Data Engineer. You will design and scale data pipelines, build analytics-ready models, and collaborate across teams to deliver robust data platforms.

Required are 5+ years in data engineering, strong Python/Go, Airflow, and cloud expertise (AWS/GCP). Looker/LookML and CI/CD familiarity are essential for ongoing delivery.

Qualifikationen

• Bachelor's degree in Computer Science or related field.
• 5+ years of proven data engineering experience.
• Experience designing, building, monitoring, and scaling data pipelines.
• Hands-on with Airflow for scheduling complex pipelines.
• Proficiency in Python and Go.
• Experience with AWS and GCP.
• Experience with BigQuery and Snowflake.
• Proficiency in SQL and DBT for modeling and optimization.
• Looker/LookML expertise for analytics and visualization.
• CI/CD and Agile experience.

Aufgaben

• Collaborate across functions to scale GLS/NXT data infrastructure.
• Contribute to the roadmap and development of GLS/NXT data products.
• Design, build, monitor, and scale data pipelines for warehousing and data integration.
• Develop data models and schemas to support analytical requirements.
• Work with other engineering teams to resolve architecture and infrastructure challenges.

Kenntnisse

Airflow

Python

Go

AWS

GCP

BigQuery

Snowflake

SQL

Looker/LookML

CI/CD

English

Ausbildung

Bachelor's degree in Computer Science

Tools

DBT

Jobbeschreibung

GLS/NXT builds next-generation logistics experiences driven by technology across the logistics and eCommerce sectors. It operates between corporate and startup environments, combining startup speed with corporate resources while developing user-focused digital products through independent project teams.

Задачи:

• Collaborate across functions to scale GLS/NXT data infrastructure;
• Contribute to the roadmap and development of GLS/NXT data products;
• Design, build, monitor, and scale data pipelines for data warehousing, integrating various data sources and destinations;
• Develop data models and schemas supporting analytical requirements;
• Work with other engineering teams to resolve architecture and infrastructure challenges and design effective solutions;
• Participate in cross-functional projects supporting data applications and reporting;
• Address data quality issues and implement best practices;
• Create and maintain comprehensive systems documentation.

Требования:

• Bachelor's degree in Computer Science or a related engineering field;
• 5+ Years of proven experience in data engineering roles;
• Expertise in designing, building, monitoring, and scaling data engineering pipelines;
• Hands-on experience with workflow orchestration tools such as Apache Airflow for designing, scheduling, and managing complex data pipelines;
• Proficiency in modern data programming languages, including Python and Go;
• Extensive hands-on experience with AWS and GCP;
• Proficiency with data warehousing technologies, including Google BigQuery and Snowflake;
• Proficiency in SQL for diverse data sources, using tools such as DBT for data modeling, schema design, incremental strategies, and query optimization;
• Looker and LookML expertise focused on data preparation and modeling for analysis and efficient visualizations;
• Software development operations management experience, including CI/CD pipelines and agile methodologies;
• Strong English communication skills for effective cross-functional collaboration;
• Ability to prioritize tasks and manage projects aligned with business goals;
• Skilled at setting clear priorities to drive project success.

Условия:

• A €1,000 personal budget for learning and development initiatives;
• Salary package reflecting expertise and experience;
• Bonus system linked to individual and team performance;
• 30 Days of yearly holiday;
• Monthly team cooking, regular events, and offsites;
• Rewards for recommending additional team members;
• Office space in Berlin Mitte with top-tier equipment.