Managed data engineering
A pod that owns your pipelines end to end on a fixed footprint.
Explore the serviceManaged data platform
Keep your data platform reliable after launch
When your platform is business-critical but your team is stretched, we run it: monitoring, incident response, enhancements and on-demand senior expertise — an operating partnership that keeps freshness and quality high.
MWRKJT
Delivery leads online — talk to a human, not a botForHeads of Data Platform & CIOs
Start withManaged Data Platform
ServingWorldwide
Managed data platformGlobal delivery
100% delivery success — delivered worldwide across seven regions
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
Sound familiar?
The symptoms we hear on the first call
If two or three of these are true, this is the right page.
- Pipelines break and your users find out before you do
- One or two people are the single point of failure for the platform
- Enhancement requests pile up behind keeping the lights on
- You need senior expertise occasionally, not another full-time hire
Managed data platformWhere you are today
What you get
Here is how we fix it
One accountable team, working as an extension of yours — and you own everything at handover.
- A managed service for your pipelines, platform and dashboards
- Freshness, volume and quality monitoring with routed alerting
- Incident response and an enhancement backlog that actually moves
- On-demand senior experts and elastic capacity when you need them
Managed data platformWhat we build
The capability behind it
The same senior bench, packaged for your situation
Data observability
Freshness, volume and distribution monitoring, with owners and runbooks.
Explore the serviceMLOps & support
Monitoring, retraining and support so models stay correct in month nine.
Explore the serviceProof
Related work
Global delivery track record across data and AI.
Energy · IoT
From manual checks to automated oil-field monitoring
A custom API pings IoT sensors across oil fields into MongoDB, transformed in Python and surfaced in a Dash dashboard at individual-sensor granularity for predictive maintenance.
Real-timeOutage tracking
PredictiveMaintenance
FMCG · Nestlé
Workforce analytics for Nestlé’s supply & demand planning
HR data marts on SAP feeding automated daily ingestions through AWS Glue and Databricks, on a medallion architecture, so planners could see available resource against production targets.
DailyAutomated ingestions
MedallionData architecture
Data strategy · Germany
One source of truth from 50+ scattered sources
Data strategy and cloud architecture on Google Cloud, ingesting 50+ sources through Stitch, modelled in dbt and surfaced to the CEO and Head of Product in Looker Studio.
50+Sources unified
ExecLive dashboards
FAQ
Questions buyers actually ask
Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.
Ask a questionYes, after a short technical audit. We will give you an honest read on what to keep, what to fix and what to retire before we take it on.
We agree an SLA and an on-call rota to match how critical the platform is. Alerts route to an owner with a runbook, not a group chat.
No. Everything stays in your accounts and repositories, the runbooks are yours, and you can take operations back in-house whenever you choose.
Next step
Ready to find out what your data is worth?
Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.