At a Glance
- Tasks: Design and maintain data pipelines using Databricks, AWS, Python, and PySpark.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those who thrive in a fast-paced, tech-driven workplace.
- Why this job: Make an impact by transforming data and ensuring its integrity in a dynamic environment.
- Qualifications: 7+ years of experience in data engineering with strong skills in ETL and SQL.
The predicted salary is between 60000 - 84000 £ per year.
Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling
Minimum years of experience: 7 years
Job Description:
- Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams.
- Must have a strong working knowledge of moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
- Must have hands-on experience with PySpark, Python, AWS, and data modelling.
- Must have experience in ETL processes.
- Must have hands-on experience in Databricks development.
- Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures.
- Must have hands-on experience in SQL development.
- Excellent communication skills & logical thinking.
We think you need these skills to ace Remote Senior Data Engineer in Glasgow
SQL
Python
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
API Integration
