Senior Data Engineer

GLS/NXT

Senior Data Engineer strengthening reliable pipelines, models, and warehouse architecture for GLS/NXT’s logistics and eCommerce technology products. Enabling trustworthy analytics and reporting.

Posted 8/15/2026full-timeBerlin • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including designing and scaling data pipelines, data modeling, and ensuring data quality. Proficient in utilizing cloud platforms like AWS and GCP, along with tools such as Apache Airflow, DBT, and Looker for effective data management and analytics.

Highest-signal resume keywords

Data Engineering Pipeline DevelopmentApache Airflow Workflow OrchestrationAWS and GCP ProficiencySQL and Data Modeling ExpertiseLooker and LookML Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingSQL ProficiencyPython ProgrammingGo ProgrammingDBT for Data ModelingGoogle BigQuerySnowflakeCI/CD Pipeline ManagementAgile Methodologies

Soft Skills

Strong English CommunicationProject ManagementTask Prioritization

Tools & Technologies

Apache AirflowAWSGCPLookerLookML

Industry Keywords

Data InfrastructureData WarehousingData QualityAnalytics PlatformSystems Documentation

Tech Stack

Tools & technologies

AirflowApacheAWSBigQueryGoGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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
Resolve architecture and infrastructure challenges with other engineering teams
Participate in cross-functional projects supporting data applications and reporting
Address data quality issues and implement best practices
Create and maintain comprehensive systems documentation
Ensure the reliability and integrity of GLS/NXT’s data infrastructure and analytics platform
Enable accurate, trustworthy data for analytics and reporting

Requirements

What you’ll need

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 Apache Airflow or similar workflow orchestration tools
Proficiency in Python and Go
Extensive hands-on experience with AWS and GCP
Proficiency with Google BigQuery and Snowflake
Proficiency in SQL for diverse data sources
Experience with DBT for data modeling, schema design, incremental strategies, and query optimization
Looker and LookML expertise for data preparation and modeling
Software development operations management experience, including CI/CD pipelines
Experience grounded in agile methodologies
Strong English communication skills
Ability to prioritize tasks and manage projects aligned to business goals
Skilled at setting clear priorities to drive project success

Benefits

Comp & perks

Hybrid working mode with a tailored remote policy
A personal budget (1.000€) for learning and development initiatives
A great office space in Berlin Mitte with top-tier equipment
A clear bonus system enabling participation in your and the team’s performance
Monthly team cooking
Regular events and offsites
30 days of yearly holiday
Rewards for the recommendation of additional team members
Transparent and competitive compensation