Data Engineer
GBP 50K-70K (estimate) Senior-level Full Time
Tasks
- Adopt modern cloud-native data technologies
- Collaborate with engineering and training teams to manage and integrate data
- Coordinate with data scientists analysts and software engineers
- Define and enforce data standards and governance
- Design and implement scalable data platforms and pipelines
- Document technical processes
- Ensure data security and compliance
- Evaluate and select data tools and frameworks
- Influence data strategy and design decisions
- Manage data quality and lineage
- Optimize data storage and retrieval
- Provide technical guidance to data team
- Support legacy data system integration
Perks/Benefits
- Annual bonus
- Company pension
- Early finish Fridays
- Enhanced sick leave
- Family leave policies
- Flexible working hours
- Health schemes
- Holiday purchase and sale
- Life assurance
Skills/Tech-stack
APIs | AWS Certified | AWS Certified Data Engineer | Airflow | Apache Kafka | Azure | Azure Data Engineer | BI tools | BI tools (Tableau | Ceph | Certified Data Engineer | Cloud Platforms | Cloud Platforms (AWS | CloudFormation | Containerisation Docker | Dagster | Data Engineer | Data Engineering | Data Governance | Data Modelling | Data Security | Data mesh | Data orchestration | Data pipeline | Data pipeline design | Data security certifications | Data security certifications Microsoft Azure Data Engineer | Data virtualisation | ETL Processes | Elastic Stack | Flink | GCP | Hadoop | IBM Data Engineering | Infrastructure as Code | Infrastructure as Code (Terraform | Java | Kinesis | Kubernetes | Looker | Nifi | NoSQL Databases | OCI | OpenShift | Performance Tuning | Pipeline Design | Power BI | Prefect | Pub/Sub | Python | Relational databases | SQL | Scala | Spark | Stream processing | Stream processing Apache Kafka | Tools Tableau
Education
N/A
Roles
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