Negotiable
Undetermined
Hybrid
Glasgow, Scotland, United Kingdom
Summary: The Data Engineer role based in Glasgow involves developing data pipelines and data warehousing solutions, primarily using Python and cloud services like Databricks. The position is contract-based for 6 to 12 months and requires extensive experience in handling complex data environments. The role also emphasizes familiarity with various data tools and technologies, including Snowflake and data visualization libraries.
Key Responsibilities:
- Develop data pipelines and data warehousing solutions using Python and relevant libraries.
- Utilize cloud services, particularly Databricks, for scalable data pipeline management.
- Work with Snowflake or similar cloud-based data warehousing solutions.
- Handle data development in complex environments with large data volumes.
- Employ code versioning tools like Git for version control.
- Manage Linux operating systems and REST APIs for integration.
- Utilize data visualization tools and libraries such as Power BI.
- Engage in database administration and performance tuning.
- Use data orchestration tools like Apache Airflow.
- Apply big data technologies for large data processing.
Key Skills:
- 4+ years of experience in developing data pipelines and data warehousing solutions using Python.
- 3+ years of hands-on experience with cloud services, especially Databricks.
- 3+ years of proficiency in Snowflake or similar cloud-based data warehousing solutions.
- 3+ years of experience in complex data environments with large data volumes.
- Experience with code versioning tools (e.g., Git).
- Knowledge of Linux operating systems.
- Familiarity with REST APIs and integration techniques.
- Experience with data visualization tools (e.g., Power BI).
- Background in database administration or performance tuning.
- Familiarity with data orchestration tools, such as Apache Airflow.
- Exposure to big data technologies (e.g., Hadoop, Spark).
Salary (Rate): undetermined
City: Glasgow
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Engineer
Location - Glasgow (hybrid) 3 days in a week
Contract role (6 to 12 Months)
Skills / Qualifications:
- 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
- 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines
- 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions
- 3+ years of experience in data development and solutions in highly complex data environments with large data volumes.
- Experience with code versioning tools (e.g., Git)
- Knowledge of Linux operating systems
- Familiarity with REST APIs and integration techniques
- Familiarity with data visualization tools and libraries (e.g., Power BI)
- Background in database administration or performance tuning
- Familiarity with data orchestration tools, such as Apache Airflow
- Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing