Senior Data Engineer

GLS Beteiligungs GmbH; Berlin; Hybrid; Vertraulich; Vollzeit

Benefits dieser Stelle

Hybrid working mode

Learning budget 1,000€ for learning

Office in Berlin Mitte

Competitive compensation

Bonus program

Team events

30 days holiday

Referral rewards

Zusammenfassung

GLS/NXT in Berlin is seeking a Senior Data Engineer to ensure reliability and integrity of our growing data infrastructure and analytics platform. You will work at the intersection of data engineering, product and operations—driving quality across pipelines, models and warehouse architecture.

You'll design testing strategies, proactively identify data quality issues, and collaborate with teams to build scalable, well-documented solutions.

Qualifikationen

• Bachelor's degree in Computer Science or related engineering field.
• 5+ years in data engineering roles.
• Expertise in designing, building, monitoring, and scaling data pipelines.
• Hands-on experience with Apache Airflow and cloud data platforms (AWS/GCP).
• Proficient with data warehousing (BigQuery, Snowflake) and SQL.
• Experience with Looker/LookML for analytics modeling.

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 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, designing effective solutions.
• Participate in cross-functional projects supporting data applications and reporting.
• Address data quality issues, implementing best practices.
• Create and maintain comprehensive systems documentation.

Kenntnisse

Data pipelines

Airflow

Python

Go

SQL

Looker/LookML

CI/CD

English communication

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

DBT

BigQuery

Snowflake

AWS

GCP

Git

Jobbeschreibung

We're looking for a Senior Data Engineer at GLS/NXT to ensure the reliability and integrity of our growing data infrastructure and analytics platform.

In this role, you will work at the intersection of data engineering, product, and operations - driving quality across our data pipelines, models, and warehouse architecture. You'll design and implement testing strategies, proactively identify data quality issues, and collaborate with teams to build scalable, well-documented solutions. Your focus will be on enabling accurate, trustworthy data for analytics and reporting while supporting the broader mission of GLS/NXT to deliver innovative, data-driven digital products.

Tasks

• 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, designing effective solutions.
• Participate in cross-functional projects supporting data applications and reporting.
• Address data quality issues, implementing best practices.
• Create and maintain comprehensive systems documentation.

Requirements

• 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.
• Proficient in modern data programming languages, including Python and Go.
• Extensive hands-on experience with cloud platforms, specifically AWS and GCP.
• Proficient with data warehousing technologies, including Google BigQuery and Snowflake.
• Proficient in SQL for diverse data sources, leveraging tools such as DBT for data modeling, schema design, incremental strategies, and query optimization.
• Looker and LookML expertise, with a focus on data preparation and modeling to support analysis and efficient visualizations.
• Software development operations management experience, including CI/CD pipelines, grounded in agile methodologies
• Strong English communication skills for effective cross-functional collaboration
• Highly organized with the ability to prioritize tasks and manage projects aligned to business goals
• Skilled at setting clear priorities to drive project success

Benefits

• Dynamic workplace: A digital environment with international projects and space to learn and grow
• Flexible work conditions: Hybrid working mode with a tailored remote policy
• Focus on learning: A personal budget (1.000€) for learning and development initiatives
• Physical space for ideas: A great office space in Berlin Mitte with top-tier equipment
• Transparent and competitive compensation: A salary package that reflects your expertise and experience.
• Active participation: A clear bonus system enabling participation in your and the team’s performance
• Engaging team culture: Monthly team cooking, regular events and offsites
• Vacation policy: 30 days of yearly holiday
• Reward system: Rewards for the recommendation of additional team members

About GLS/NXT

GLS/NXT was founded with the mission to build the next generation of logistic experiences driven by technology - core, adjacent & beyond. More specifically, our sphere of interest is the Logistics and eCommerce sector. We are entrepreneurs and hence always start with the user's needs. We are located between Corporate and Startups and leverage the benefits from both (startup speed and corporate muscle). GLS/NXT inhabits different project teams, acting as startups with business responsibility and setting their own vision and mission. GLS/NXT is part of the GLS IT Services GmbH.

Commitment to Diversity

GLS/NXT is an equal opportunity employer, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating an inclusive environment for all employees.