Staffing

The right skills.
Working with your team.

Data engineers, analytics developers and AI engineers who join your team for a project, a gap or the long run. We match people to the systems you run and the work ahead.

Discuss a role

Roles we place

Specialists for data, analytics and AI work.

Each role is matched to the tools your team already uses and the outcome you need.

  • Data engineer

    Builds and maintains pipelines, data models and the checks that keep information reliable.

    SQL, Python, Airflow, Spark, Azure Data Factory

  • Data platform engineer

    Sets up and modernizes warehouses, lakehouses and the cloud infrastructure around them.

    Snowflake, Azure Synapse, Kafka, cloud platforms

  • Analytics engineer / BI developer

    Turns agreed business definitions into shared models, dashboards and scheduled reports.

    Power BI, SQL data models, Grafana

  • AI engineer

    Connects language models to company information and applications, then tests how they behave.

    OpenAI and Azure OpenAI, LlamaIndex, Azure AI Search, n8n

  • Pipeline support engineer

    Monitors, repairs and improves existing data workloads so your core team can keep building.

    Airflow, incident response, data quality checks

Ways to engage

Choose the arrangement that fits.

For a defined project or period

Contract

A specialist joins your team for the work ahead, whether that is a build, a migration or extra capacity through a busy quarter.

Work together first

Contract-to-hire

Start on contract and decide on a permanent role once you have seen the person working in your systems and your team.

A permanent hire

Direct placement

We find and assess candidates for a role on your payroll, so your team can focus on the final interviews.

How it works

From a role description to a working start.

  1. Share the role

    Tell us the skills, systems, responsibilities and timing. A rough outline is enough to start.

  2. Review a shortlist

    We match candidates against the work and the stack, not just a list of keywords.

  3. Interview and decide

    You meet the candidates and choose who joins. We coordinate the details.

  4. Start and check in

    We stay in touch after the start date to make sure the fit is working for both sides.

Need the outcome, not only the people?

We also deliver data engineering, analytics and AI as projects, with our own team responsible for the result.

You can start with a project and keep a specialist on afterwards, or add a person first and scope a project once the need is clear.

Explore project services →

Where does your team need support?

Tell us about the role, project and timeline you have in mind.

Let’s talk