Cloud data platform builds
Architecture, implementation and productionisation for modern Azure and AWS data platforms.
Boutique data engineering consultancy · Europe
Data engineering.
Delivered.
Senior data engineers and focused delivery teams for cloud data platforms—built for embedded capacity, migrations and critical platform work.
Delivery modelSpecialist capacity
Europe / B2BDFLABS
EMBEDSenior
PODDelivery
SPECPlatform
Core stack
- Databricks
- Microsoft Azure
- Snowflake
- AWS
- dbt
- Spark & PySpark
01 / SERVICES
Data engineering services built around delivery.
From platform foundations to production pipelines, we bring the specialist capability needed to move important data work forward.
Databricks & lakehouse engineering
Reliable lakehouse foundations, governed data products and performant Spark workloads.
Migration & modernisation
Move legacy pipelines and warehouse workloads to cloud platforms with a controlled delivery path.
Data pipelines & orchestration
Batch and streaming pipelines designed for observability, recovery and day-two operations.
Analytics engineering
Tested dbt models, documented transformations and trusted datasets for analytics teams.
Platform reliability & enablement
CI/CD, performance, cost control and engineering standards that make platforms easier to run.
02 / ENGAGEMENTS
The right shape for the work in front of you.
Add one senior specialist or a focused team, with a model shaped around your roadmap rather than a generic bench.
01
Embed a senior engineer
Add proven data engineering capacity to an existing team without a long permanent hiring cycle.
02
Launch a focused delivery pod
Bring in a compact lead-and-engineer team for a platform build, migration or critical workstream.
03
Close a specialist capability gap
Bring targeted depth to Databricks, cloud data, Spark or analytics engineering work.
03 / EXPERIENCE
Delivery experience, without the name-dropping.
Representative platform work behind Datafor Labs. Client, employer and project names are withheld; the engineering scope and outcomes remain factual.
01Regulated enterprise analytics
Manufacturing and laboratory analytics foundation
A cloud analytics platform integrating manufacturing, laboratory and enterprise application data for analytics and data science.
- Azure Data Factory
- Databricks
- Synapse
- ADLS Gen2
02Enterprise platform modernisation
Legacy-to-lakehouse platform migration
A global migration programme designed to centralise enterprise data and standardise ingestion, transformation and analytics delivery.
- Azure
- Databricks
- dbt Core
- Delta Lake
03Connected asset analytics
Cloud analytics for IoT operations
An AWS-based analytics platform synchronising connected-asset data into operational dashboards, data marts and business metrics.
- AWS Glue
- S3
- Athena
- Lambda
SPECIALIST BY DESIGN
No generalist bench. No opaque handoffs. Just people who build, modernise and run data platforms.
Clear expertise, strong communication and engineers who can join a real team and move real work forward.
04 / EXPERTISE
Modern data platforms need modern specialists.
- 01DatabricksLakehouse engineering
- 02Microsoft AzureCloud data platforms
- 03SnowflakeWarehouse engineering
- 04AWSCloud-native data
- 05dbtAnalytics engineering
- 06Spark & PySparkDistributed processing
05 / APPROACH
From requirement to delivery—without the noise.
Align on the delivery need
We clarify the platform, scope, seniority, delivery context, location and target start date.
Validate the technical fit
You meet a focused shortlist matched for engineering depth, communication and project reality.
Onboard and deliver
The right engineer or pod joins the work, integrates with your team and scales as delivery evolves.
WHY DATAFOR LABS
Built around delivery, not CV volume.
- Technical screening by data engineers
- Senior, delivery-minded specialists
- European time-zone alignment
- Flexible B2B engagement models
06 / START A CONVERSATION
Need stronger data engineering capacity?
Share the platform, scope, timeline and location. We'll respond with a practical next step.
Discuss your requirement hello@dataforlabs.com