Hire technically evaluated data engineers for your engineering team. We help companies recruit permanent and contract data engineers across Python, SQL, Spark, Databricks and cloud data platforms through targeted sourcing and engineering-led evaluation.
Whether you're building a long-term data engineering team or need specialised data engineering capacity, we support both permanent recruitment and contract engineering.
Recruit data engineers who join your company as full-time employees and contribute to long-term data platform, pipeline and analytics infrastructure development.
Extend your team with technically vetted contract data engineers who work within your existing data architecture, delivery workflows and engineering environment.
Data engineering requirements vary by infrastructure, processing needs and business use cases. We tailor each search to the specific technical responsibilities and experience your team needs.
Engineers experienced in Python-based data processing, transformation, automation and pipeline development.
Engineers who develop and optimise distributed data processing pipelines for large-scale workloads.
Engineers experienced in Databricks, Delta Lake, data transformations and lakehouse architecture.
Engineers working with AWS, Azure and Google Cloud data services, storage and processing infrastructure.
Engineers who design, build and maintain reliable data ingestion, transformation and orchestration workflows.
Engineers focused on data modelling, warehousing, SQL optimisation and analytics-ready data infrastructure.
We help companies find data engineers with experience across programming languages, distributed processing frameworks, cloud data platforms, orchestration tools and modern data infrastructure.
Hiring for a specialised data engineering role? Tell us what you need ↗
Strong data engineers build reliable pipelines, manage data quality and make architecture decisions that influence analytics, applications and business operations.
Experience with Spark, Python or SQL does not automatically demonstrate production-level pipeline design, troubleshooting or system reliability.
Assessing data modelling, distributed processing, orchestration, cloud infrastructure and pipeline performance requires relevant engineering expertise.
Data engineering roles vary across batch and streaming systems, data warehouses, platform scale, cloud architecture and business needs.
Our technical evaluation is tailored to your data architecture, platform scale, experience requirements and role responsibilities. Assessment is guided by former CTOs and experienced engineering leaders.
SQL proficiency, Python or Scala, code quality, debugging and practical data manipulation.
Pipeline design, ingestion, transformation, orchestration, scheduling and failure handling.
Schema design, dimensional modelling, data warehouses, data lakes and query performance.
Spark, batch and streaming processing, partitioning, optimisation and scalability trade-offs.
Cloud data services, data validation, observability, access controls and production reliability.
Diagnosing pipeline failures, performance bottlenecks, data inconsistencies and architectural trade-offs.
Share your data platform, technology stack and hiring requirements with our team.
Our hiring approach combines targeted sourcing with technical evaluation guided by former CTOs and experienced engineering leaders.
We look beyond data technology keywords to understand practical engineering experience, architecture judgment and alignment with your data infrastructure.
A structured hiring process with role-specific technical evaluation built into candidate selection. Contract engagements follow a tailored onboarding process.
Understand your data use cases, infrastructure, technology stack and hiring needs.
Align on data engineering skills, platform experience, evaluation criteria and the ideal profile.
Identify relevant data engineers through targeted outreach, networks and referrals.
Assess practical data engineering capability, architecture judgment and role alignment.
Share a focused shortlist for your team's technical interviews and hiring decisions.
Support final selection, offer coordination and the appropriate joining or onboarding process.
Whether you're hiring permanent data engineers or adding contract data engineering expertise, we tailor the engagement to your technical and hiring requirements.
Permanent recruitment is success-based with no upfront fee. Contract engineering engagements are structured around the agreed scope and duration.
Extend your team with technically vetted contract data engineers aligned with your cloud platforms, data pipelines and engineering environment. Engagements follow the agreed scope and duration.
Whether you need permanent data engineering talent or flexible contract capacity, find technically evaluated engineers aligned with your data platform, architecture and team requirements.
Discuss Your Data Engineering Hiring Needs ↗