Data Engineer
Huzzle has an opening for a Data Engineer as a remote role open to applicants in Germany. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Huzzle has an opening for a Data Engineer as a remote role open to applicants in Germany. It is listed as a full-time position.
Reading the advert, the employer asks for 2+ years of experience.
Skills and tools named in the text include Python, Java, Scala, SQL, Snowflake, Airflow, Databricks and AWS.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
Dev Global Jobs found this job on Arbeitnow on Nov 7, 2026.
- Employer
- Huzzle
- Location
- Remote (Germany)
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 2+ years
- Found
- Nov 7, 2026 on Arbeitnow
- Employer text
- 448 words, about 2 min to read
- Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 2+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Python, Java, Scala and SQL) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 2 min) before you apply.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01About Huzzle
At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with a diverse range of clients, including startups, digital agencies, and technology-driven businesses across industries such as SaaS, MarTech, FinTech, and AI.
Unlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team.
Job Type: Full-time
Location: Remote
02Job Summary
As a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and of high quality across the organisation.
This is a great opportunity for professionals who enjoy tackling complex data challenges and building robust systems that power business intelligence, analytics, and machine learning initiatives.
03Key Responsibilities
- 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.
04Requirements
- 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.
- Experience handling large datasets and working with distributed systems is an advantage.
- Strong analytical thinking, problem-solving, and communication abilities.
- Comfortable working independently while collaborating with a remote team.
05Benefits
💰 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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