Data Engineer
Tasks
- Automate data integration orchestration monitoring
- Collaborate with data science business intelligence engineering teams
- Continuously improve data architecture operational efficiency
- Design ETL pipelines
- Develop ELT pipelines
- Develop and optimize dashboards and reporting
- Gather reporting and analytics requirements
- Ingest transform validate deliver data
- Maintain cloud data warehouses and data lakes
- Maintain documentation governance standards
- Optimize scalability reliability performance
Perks/Benefits
- Bonus scheme eligibility
- Company pension up to 15 percent employer contribution
- Coursera access
- Dental coverage
- Employee networks
- Family cover
- Financial advice
- Flexi days up to 12
- Flexible hours
- Generous leave
- Gym memberships
- Hybrid working
- LinkedIn Learning access
- Mental health support
- Private healthcare
- Referral bonus
- Tech and lifestyle discounts
Skills/Tech-stack
Amazon Redshift | Apache Hadoop | Apache Spark | Azure Data | Azure Data Factory | Azure SQL | Azure Synapse | Azure Synapse Analytics | Cloud Data | Cloud Data Warehouse | Dagster | Data Factory | Data Lake | Data Warehouse | Data Warehousing | ELT | ETL | Google BigQuery | Looker | Power BI | Python | SQL | Snowflake | Synapse Analytics | Tableau
Education
N/A
Roles
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