Specializations

Data Engineer Recruitment

Reliable data sits under every dashboard and AI feature. We help teams hire the engineers who build, run and improve it.

Who This Helps

Startups

Making their first data hire.

Migrating teams

Moving to a lakehouse or a new warehouse.

Analytics teams

Adding engineering discipline to reporting.

AI programs

Preparing data foundations for AI.

Roles and What They Own

Titles vary between companies. This is how we separate the work.

Data Engineer

Ingestion, orchestration, transformation and data quality.

Analytics Engineer

Modeling, semantic layers and tested transformations for analytics.

Data Platform Engineer

Platform services, access, deployment, cost and reliability.

Data Architect

Platform design, standards, governance and migration strategy.

Senior / Lead Data Engineer

Technical direction, mentoring and design reviews for a data team.

BI / Analytics Developer

Semantic models, dashboards and self-service reporting.

Platforms and Skills Employers Often Ask For

Product names describe the work; they don't imply a vendor partnership.

SQLPythonSparkdbtAirflow / orchestrationDatabricksSnowflakeMicrosoft FabricAzure data servicesAWS data servicesKafka / streamingData modelingPower BI

Common Hiring Scenarios

Migration

Moving from on-premises SQL Server and SSIS, or a legacy warehouse, to a cloud platform.

First data hire

One engineer who must build and operate everything; breadth matters more than any single tool.

Scaling analytics

Adding analytics engineers so analysts stop maintaining pipelines.

AI readiness

Clean, governed data before an AI feature can be trusted.

What We Clarify Before Searching

  • Data volumes and latency needs
  • The balance between building and running
  • Which platform experience is essential and which transfers
  • Data quality and on-call expectations
  • Who the engineer works with day to day

Engagement Options

  • Direct hire for permanent data roles.
  • Contract for defined migrations or platform builds, with terms agreed in writing.

Data Engineering Hiring Questions

Often, in part. Spark, SQL and modeling skills transfer; platform administration and cost management are more specific. We'll discuss which matters for your role.

If the gap is pipelines and reliability, a data engineer. If it's modeled, tested data for analysts, an analytics engineer.

Yes. We'll clarify whether you need design leadership, hands-on delivery, or both.

Related specializations:  Cloud & DevOps  ·  AI & Machine Learning

Hiring for Your Data Team?

Share the role or the problem it needs to solve. We'll reply by email to discuss it.