H
Data Engineer
Contract type
Ongoing
Work mode
Remote · Germany
Experience
Mid-level · 2+ years
Job description
A Data Engineer role placing you directly with Huzzle's clients as an in-house team member, designing, developing, and maintaining scalable data pipelines and infrastructure. The role supports business intelligence, analytics, and machine learning initiatives.
At a glance
- Employment
- Full-time
- Work mode
- Remote · Germany
- Languages
- English
What you'll do
- Design, build, and maintain scalable ETL and ELT data pipelines
- Develop and optimize data architectures, databases, and data warehouses
- Integrate data from various sources, APIs, and third-party platforms
- Maintain data quality, accuracy, consistency, reliability, and security
- Monitor, troubleshoot, and improve data pipelines and workflows
- Work closely with analytics, engineering, and business teams to identify and meet data requirements
- Establish data governance standards and best practices for data management
- Improve data storage, processing speeds, and query performance
- Support business intelligence, reporting, and analytics projects
- Maintain documentation of data models, workflows, and technical processes
What we're looking for
- 2+ years of experience in data engineering, data warehousing, or a similar field
- Strong SQL skills and a solid understanding of database management
- Proficiency in Python, Java, Scala, or other relevant programming languages
- Practical experience with ETL/ELT tools and building data pipelines
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Hands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or Databricks
- Knowledge of workflow orchestration tools such as Airflow or Prefect
- Understanding of data modelling, governance, and data quality best practices
- Strong analytical thinking, problem-solving, and communication abilities
- Comfortable working independently while collaborating with a remote team
Nice to have
- Experience handling large datasets and working with distributed systems is an advantage
Benefits
- Competitive compensation tailored to your experience, technical skills, and location
- Fully remote work: enjoy the flexibility to work from anywhere
- Career development: join innovative companies and contribute to meaningful, high-impact projects
- Long-term potential: grow your career alongside ambitious, expanding global organisations
- Ongoing learning: gain exposure to emerging data technologies, cloud platforms, and large-scale data environments
- Collaborative environment: work with skilled engineers, analysts, and business stakeholders
- Modern tech stack: work with cutting-edge data tools, technologies, and cloud-based solutions
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About Huzzle
Unlike traditional outsourcing agencies, Huzzle places you directly with its clients, where you become an integral, in-house member of their team.