IT specialisation · Tier 3
Data Engineering consultants — engaged on fixed-scope contracts.
Data warehousing, ETL/ELT, Snowflake, Databricks, Fabric, lakehouse design and BI enablement.
Typical data engineering engagement
A representative engagement is a Snowflake or Databricks lakehouse build with dbt-based transformations, an Airflow / Fivetran ingestion layer, dimensional / activity-schema modelling, and an enablement programme for the customer's data team.
What you receive on a Data Engineering engagement
Concrete deliverables agreed up front in the proposal — fixed scope, fixed price, milestone-based delivery.
- Data-platform architecture (HLD + LLD)
- Ingestion pipelines and dbt project
- Dimensional / semantic models and BI enablement
- Data-quality framework and test suite
- Operations handover and runbook
Data Engineering — frequently asked questions
Direct answers to the questions teams ask before engaging a data engineering consultant on TalvexIT.
Which data platforms are covered?
Snowflake, Databricks, Microsoft Fabric, Google BigQuery, AWS Redshift, dbt, Apache Airflow / Dagster / Prefect, Apache Kafka / Confluent, and on-prem data warehouses (SQL Server, Oracle Exadata, Teradata).
Can I migrate from an on-prem warehouse to Snowflake / Databricks?
Yes — warehouse-to-cloud migrations are a common engagement type. Scope typically includes schema conversion, ETL/ELT pipeline rewrite (often to dbt), historical data backfill, dual-run validation, and cutover with measured cost / performance against the legacy system.
Do you build full lakehouses or just point fixes?
Both. Full lakehouse / data-platform builds (medallion architecture, governance layer, semantic models, BI enablement) are well-represented; targeted fixes (pipeline performance, dbt-model rationalisation, cost reduction) are equally common as smaller fixed-scope engagements.
How every TalvexIT engagement works
Same workflow across all 28 specialisations — verified consultant, fixed scope, formal Purchase Order, direct customer-to-supplier invoicing.
Verified senior consultant
KYC video, ABN check (Australian providers), insurance review, contractor agreement — before any data engineering work begins.
Fixed-scope proposal
Refined deliverables, milestones, timeline, T&Cs, and price agreed up front. Lock the scope before any commitment.
Direct invoicing
The provider raises a tax invoice in their name and ABN; you pay them directly. The platform records the engagement but never holds funds.
Worldwide expertise
Specialists across Australia, SE Asia, South Asia, Europe, and the Americas. Multi-currency quoting (AUD, USD, GBP, EUR, NZD, SGD, CAD).
Related specialisations
Engagements often span more than one — engage one consultant, or stitch together a small team.
DevOps Engineering
CI/CD pipelines, Kubernetes, Terraform, Ansible, GitOps, observability and platform engineering.
AI Integration
LLM integration, RAG pipelines, vector databases, Copilot/ChatGPT enterprise rollouts and guardrails.
Low-Code & Workflow Automation
Power Platform, Logic Apps, n8n, Zapier — business-process automation with governance.
Ready to engage a data engineering consultant?
Two minutes from plain-English requirement to formal proposals from verified consultants.