Hire Devs · By Role

Engineers who build pipelines, warehouses and dashboards you can trust.

Our data engineers build reliable pipelines from your apps and SaaS tools into a modern warehouse, model the data with dbt, and power dashboards your team trusts.

  • ELT pipelines into a warehouse
  • dbt models and data quality tests
  • Streaming pipelines with Kafka
  • BI dashboards and reporting
  • Event tracking and product analytics
  • Data platform migrations

The tools our Data Engineers use every day, plus the testing, CI and monitoring every production team needs.

Warehouses and lakes

  • SnowflakeSnowflake
  • Google BigQueryBigQuery
  • DatabricksDatabricks
  • ClickHouseClickHouse
  • PostgreSQLPostgreSQL
  • DuckDBDuckDB

Pipelines

  • PythonPython
  • dbt
  • Apache AirflowApache Airflow
  • Apache SparkApache Spark
  • Apache KafkaKafka
  • Apache FlinkApache Flink
  • Fivetran
  • AirbyteAirbyte

BI and analytics

  • MetabaseMetabase
  • LookerLooker
  • Power BI
  • Tableau
  • PostHogPostHog
  • Segment

001

Senior and vetted

Every engineer passes technical interviews, a paid trial task and reference checks before joining a client.

002

Start in days

We shortlist matched profiles quickly, and you interview them before anyone starts.

003

Your hours, your tools

Engineers work in your Slack, Jira and GitHub with a guaranteed overlap with your timezone.

004

No lock-in

Scale up, scale down or swap an engineer with simple notice. You own all code and IP.

Pick the model that fits your stage. Switch as you grow.

Individual Experts

Plug a senior specialist into your team for focused, hourly work.

  • Specialist expertise, on demand
  • Transparent hourly rates
  • Flexible engagement length

Project Packages

A scoped engagement with clear milestones, owners and outcomes.

  • Fixed scope & timeline
  • Milestone-based delivery
  • Predictable investment

Retainer / Custom

Ongoing partnership across software, marketing and finance.

  • Dedicated cross-discipline team
  • Scale up or down as needed
  • Priority, long-term support

Step 001

Share your needs

Tell us the role, stack, seniority and timeline.

Step 002

Meet your matches

We send vetted profiles and you interview the ones you like.

Step 003

Start a trial

Begin with a short trial period to confirm the fit.

Step 004

Scale with confidence

Add engineers or adjust the team as your roadmap changes.

What teams usually ask before hiring Data Engineers through us.

  • Depends on scale, budget and cloud. Snowflake, BigQuery and Databricks are common; PostgreSQL or ClickHouse for smaller or real-time needs.

  • Yes. We add tested dbt models and data quality checks so every dashboard uses one definition.

  • Most clients see matched profiles within a few business days of the first call, and the chosen developer can usually start the following week.

  • Yes. You review profiles, run your own technical interview and only developers you approve join your team.

  • Rates depend on seniority, skills and engagement length. You get a clear monthly or hourly rate before anyone starts, with no recruitment or placement fees.

  • Tell us and we will replace them at no extra cost, with a handover so your work keeps moving.

  • They join your Slack or Teams, Jira or Linear and GitHub, attend your stand-ups and follow your processes, with an agreed daily overlap with your timezone.

  • You own all code and IP from day one. Developers sign NDAs, work in your accounts with least-privilege access, and we remove access when the engagement ends.

  • Yes. Add developers as your roadmap grows or reduce the team with simple notice. There are no long lock-in contracts.

Tell us about the role and we'll send matched profiles.