Profile

Data Engineer

Brings structure to complex data environments and builds a scalable data foundation — the basis on which analytics and AI can actually run.

Immediately deployable
Works independently
Focused on quality and stability

Focus Data Engineering

Seniority Senior

Availability Interim / Project / Part-time

Way of working Agent-Augmented

Role & focus

Our Senior Data Engineers operate at the intersection of architecture and implementation — not focused on isolated solutions, but on building and stabilising the data foundation that analytics and AI depend on.

Where this data engineer excels

Structuring fragmented data environments
Designing scalable data architectures
Building robust data flows under production load
Resolving performance and quality issues

What this data engineer brings

Operates independently in complex data environments
Combines architectural insight with hands-on delivery
Brings calm and structure to teams and systems
Delivers results without relying on extensive supervision

Where this profile adds value

Data architecture has grown organically and is starting to hurt

We structure the environment and design an architecture that scales again.

Teams work with different definitions and datasets

We bring data environments together into one consistent foundation.

Pipelines are fragile or hard to scale

We build robust data flows that stay stable under production load.

Growth in data or users leads to instability

We resolve performance and quality issues at the root.

There's a need for standardisation without losing flexibility

We standardise where it helps and leave room where the organisation needs it.

There's little visibility into where pipelines get stuck or slow down

We build in monitoring and observability, so issues surface early.

What you can expect from Full Orbit

We don't just place our consultants and walk away — we stay involved throughout the engagement.

Our way of working

Careful matching based on expertise and team fit
Personal intake ahead of every engagement
A single point of contact throughout the collaboration
Knowledge sharing within the Full Orbit team

Flexibility in the collaboration

Available on an interim, project or part-time basis
Scale up or down by agreement
Careful handover and documentation at completion
Agent-Augmented way of working for extra impact

Human expertise, empowered by AI Agents

Faster from data to pipeline

AI Agents help generate and validate code and schemas, so the engineer can focus on architecture and design.

Data quality continuously monitored

Quality and consistency checks run continuously within the pipelines, not as a separate check afterwards.

Less manual maintenance work

Recurring pipeline and infrastructure tasks are largely automated.

The engineer stays in control

Architectural decisions and stakeholder dialogue remain human work — AI Agents support, they don't take over.

Cloud platforms Azure, AWS, OCI

Data platforms Databricks, Snowflake

Orchestration & transformation Airflow, dbt

Languages Python, SQL

How we work

Introduction

We discuss your challenge, the role required and the context the consultant will be working in.
Match & proposal

We put forward a consultant who fits the required expertise and your way of working.
Start & onboarding

The consultant starts, quickly gets up to speed with your environment, and contributes from the first weeks.
Collaboration & follow-up

We stay involved, track progress and adjust along the way where needed.

Looking for a Data Engineer who makes an immediate impact?

We make sure you quickly gain access to a senior profile who brings structure and delivers results independently.

Book an introduction