We are a global BI Consultancy & Contingent Labor provider, focusing on contract IT recruitment and staff augmentation
Data Engineer
Location
Germany
Posted
68 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer
Billigence
• Support in designing, developing, and maintaining our data infrastructure • Build and optimize data pipelines using SQL and/or Python • Collaborate with other teams to derive data-driven insights and ensure data quality • Identify opportunities to automate data processes and improve data ingestion and integration • Support the implementation of best practices for data processing and storage
Job Requirements
- Degree in Computer Science, Data Science, or a related discipline
- Strong knowledge of SQL and/or Python
- Experience with Alteryx, Matillion, DBT, or similar tools is a plus
- Good communication skills; confident and proactive demeanor
- Fluent in German and English
Benefits
- Flexible working hours and the option to work from home
- Continuous learning and professional development
- A strong, innovative company culture
- A diverse and supportive team
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions • Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL • Collaborated with Product Managers to launch new customer-facing analytics capabilities • Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services • Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations • Participated in our on-call rotation to ensure platform reliability and performance • Contributed to the hiring, onboarding, and professional development of the Data Engineering team • Explored and evaluated new tools—including AI-assisted coding platforms like Claude and Windsurf—to improve engineering workflows
Senior Full-Stack Engineer, Data Platform & Tooling
LagoWe connect talented individuals from emerging markets with top-tier remote job opportunities.
• Build and maintain both web and mobile versions of the platform • Set up the backend, APIs, and database architecture for performance and scale • Translate UI designs into responsive, high-quality builds • Integrate with third-party tools and external data sources • Handle deployment, testing, and performance optimization
Senior Full-Stack Engineer, Data Platform – Tooling
LagoWe connect talented individuals from emerging markets with top-tier remote job opportunities.
• Build and maintain both web and mobile versions of the platform • Set up the backend, APIs, and database architecture for performance and scale • Translate UI designs into responsive, high-quality builds • Integrate with third-party tools and external data sources • Handle deployment, testing, and performance optimization
• Design, develop, and maintain scalable data pipelines using GCP ETL tools like Cloud Dataflow, Dataprep, or Dataproc • Collaborate with cross-functional teams to understand data requirements and implement solutions using GCP services to support data-driven initiatives • Optimize data models and architecture for performance and reliability within GCP • Build and maintain data warehouses, data lakes, and other data storage solutions on Google Cloud Platform • Ensure data quality, integrity, and security across various datasets within GCP • Identify and resolve performance bottlenecks in data infrastructure specifically related to GCP ETL tools • Work closely with data scientists, analysts, and other stakeholders to support their data needs within the GCP ecosystem • Stay updated with the latest GCP technologies and trends in data engineering and implement best practices
