Data Engineer
Summary
Data Engineer at a logistics company building and maintaining scalable ETL pipelines for fleet telemetry and logistics data, plus data warehousing solutions and data quality monitoring. Core stack: Python, SQL, cloud platforms (AWS/GCP/Azure), warehouses like Snowflake/BigQuery/Redshift, and orchestrators like Airflow/dbt.
About This Role
We are looking for a skilled Data Engineer to design and build data infrastructure, create ETL pipelines for fleet analytics, and develop data warehousing solutions. You will work on cutting-edge technology to transform how logistics companies use data.
What You'll Do
- 01 Design, build, and maintain scalable data pipelines
- 02 Develop ETL processes for fleet telemetry and logistics data
- 03 Build and optimize data warehousing solutions
- 04 Collaborate with data scientists to enable advanced analytics
- 05 Implement data quality monitoring and validation
- 06 Optimize database performance and query efficiency
- 07 Document data architecture and maintain technical specifications
What We're Looking For
- Degree in Computer Science, Engineering, or related field
- 3+ years experience with big data technologies
- Strong proficiency in Python and SQL
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of data warehousing concepts and tools (Snowflake, BigQuery, Redshift)
- Experience with ETL tools (Airflow, dbt, or similar)
- Familiarity with version control (Git) and CI/CD practices
What We Offer
Competitive salary based on experience
25 days annual leave plus bank holidays
Pension scheme with employer contribution
Learning and development budget
Latest tech equipment provided