Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop robust data pipelines and models, ensure data quality, and work on optimizing our data infrastructure for efficient analytics and reporting.
Job Technologies
Your role in the team
- We are 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.
- 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.
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Our expectations of you
Education
- Bachelor's degree in Computer Science or a related engineering field.
Qualifications
- Expertise in designing, building, monitoring, and scaling data engineering pipelines.
- Proficient in modern data programming languages, including Python and Go.
- 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.
- 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.
Experience
- 5+ years of proven experience in data engineering roles.
- Hands-on experience with workflow orchestration tools such as Apache Airflow for designing, scheduling, and managing complex data pipelines.
- Extensive hands-on experience with cloud platforms, specifically AWS and GCP.
- Software development operations management experience, including CI/CD pipelines, grounded in agile methodologies.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
General Logistics Systems Germany GmbH & Co. OHG
As one of the leading parcel service providers in Germany, we see it as our responsibility to offer our customers top quality. This is ensured by over 8,000 employees nationwide who give their best at around 70 locations. Every year we send over 600 million parcels across Europe thanks to their work.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation
Senior Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
