Talent · AI and Data
Data Engineer
An engineer who builds the pipelines, warehouses and quality checks that your reports and AI work need.
What they do
- Builds batch and streaming pipelines
- Models data in warehouses and lakehouses
- Sets up data quality checks
- Prepares documents and tables for AI search
- Manages access and lineage
When to bring one in
- Your ERP, CRM and spreadsheets show different totals
- AI projects stall on messy data
- Reports are still built by hand in Excel
Specification
- Core skills
- SQL, Python, Data modelling, Orchestration, Data quality, Cloud data platforms
- Tools
- dbt, Airflow, Databricks, Microsoft Fabric, Snowflake, BigQuery, PostgreSQL, Kafka
Seniority
Mid level3 to 5 years
Builds and maintains pipelines
Senior5 to 8 years
Designs data platforms
Lead8+ years
Owns data architecture
Request
Request a Data Engineer
Tell us about the project, stack and domain. We will share matched profiles, usually within one to two weeks.
Start a conversation
Tell us what you are trying to build.
Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.
Or get a ballpark proposal in two minutes
A specialist replies within one working day. The first conversation is free.