Data Engineers
Core
Design and build scalable cloud-native data platforms and pipelines for client engagements, modernizing legacy environments and aligning solutions with business strategy.
Role type
Senior Data Engineer (Consulting)
Builds
Scalable data platforms, data pipelines, and cloud-native lakehouse architectures
Domain
Cloud Data Engineering / Consulting
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Cloud platforms (Azure/AWS/GCP), Data pipeline design, Lakehouse architectures, dbt, Git, CI/CD
Preferred skills
Terraform, Infrastructure-as-code, Data mesh patterns, Mentoring, Pre-sales support
Technologies
Azure Data Factory, AWS Glue, Google Cloud Dataflow, Databricks, dbt, Snowflake, Delta Lake, PySpark, Terraform, Bicep, AWS CDK, Power BI, Looker, Kafka, Kinesis, Pub/Sub
Responsibilities
Design and build scalable data platforms using modern cloud-native and Lakehouse architectures; Develop and optimise data pipelines using Python, SQL, and cloud tools; Modernise legacy data environments to cloud-native platforms; Engage with clients to conceptualize data solutions; Support sales team with pre-sales activities and technical proposals; Provide technical guidance and mentorship to junior consultants; Lead technical reviews and contribute to growth plans; Identify opportunities to automate manual processes and improve scalability.
Seniority
Senior, hands-on IC with mentorship responsibilities