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01.07 · Data Engineering

Reliable data that leaders and teams can make decisions on.

We build pipelines that bring data from your systems into a governed model, then deliver dashboards and reports that answer the questions your teams actually ask.

AProblems addressed

When teams typically bring us in.

  • P-01Reports are assembled manually from exports
  • P-02Different teams calculate the same metric differently
  • P-03Data arrives late or with gaps nobody notices
  • P-04Dashboards exist but are rarely used

BCapabilities and deliverables

What Data Engineering covers.

  • Data pipelines

    Scheduled and event-driven ingestion from applications, databases and SaaS tools.

  • Analytical modelling

    Documented models with shared metric definitions.

  • Dashboards and reporting

    Role-specific views designed around decisions, not data volume.

  • Data quality

    Automated tests and alerts for freshness, completeness and accuracy.

Deliverables

  1. D1Data source inventory and metric dictionary
  2. D2Pipelines with quality checks
  3. D3Analytical data model
  4. D4Dashboards for agreed audiences
  5. D5Data access and governance guide

Technologies

  • PostgreSQL
  • BigQuery
  • Snowflake
  • dbt
  • Airflow
  • Power BI
  • Metabase
  • Python

Technology choices are made per project based on your existing estate and requirements.

CDelivery approach

How this capability is delivered.

Each engagement follows the Velnex Method. These are the steps specific to this capability.

  1. 01

    Start from decisions

    List the questions each audience needs answered.

  2. 02

    Define metrics

    Agree one definition for each metric before building.

  3. 03

    Build the pipeline

    Ingest, test and model data with automated checks.

  4. 04

    Deliver views

    Release dashboards with owners and review cadence.

See the full Velnex Method

DEngagement options

Ways to engage for this capability.

  • E-01

    Technical Definition Sprint

    A time-boxed engagement that turns a business need into a buildable plan.

    • Requirements and priorities
    • Architecture options
    • Phased delivery plan
    • Risk register

    Best for

    Decisions that need evidence before budget is committed.

    Team

    Principal engineer, solution architect and UX lead as needed.

    Rhythm

    Fixed duration with working sessions and a final review.

    Commercial basis

    Fixed fee agreed before the sprint starts

    Request a Scope
  • E-02

    Defined Platform Build

    End-to-end delivery of a clearly scoped system against agreed milestones.

    • Production system
    • Test suite
    • Documentation
    • Handover sessions

    Best for

    Projects with a defined scope and clear success conditions.

    Team

    Cross-functional team sized to the scope, led by a senior engineer.

    Rhythm

    Milestones agreed upfront with a demonstration each delivery cycle.

    Commercial basis

    Scoped and quoted after definition

    Request a Scope
  • E-04

    Continuous Systems Partnership

    Ongoing responsibility for the health and improvement of live systems.

    • Monitoring and response
    • Maintenance schedule
    • Monthly service report
    • Improvement backlog

    Best for

    Business-critical systems that must stay secure and keep improving.

    Team

    Named lead engineer with shared support and specialist capacity.

    Rhythm

    Continuous monitoring with monthly planning and reporting.

    Commercial basis

    Retained capacity, agreed per period

    Request a Scope

ERelated scenario

An example of this capability in context.

Representative solution scenarioS-04

Connecting sales, delivery and finance

Growing company where each department uses a different system

Won deals are re-entered for delivery, invoices are raised manually and leadership reconciles figures from three exports.

Approach

  1. 01Define which system owns each record and when it changes hands
  2. 02Integrate CRM, project delivery and accounting systems
  3. 03Automate handoffs from closed deal to project to invoice
  4. 04Build a shared dashboard from one trusted data model

System components

  • CRM workflows
  • Integration services
  • Automated handoffs
  • Revenue dashboard

FQuestions

Frequently asked questions.

Do we need a data warehouse?

Not always. For smaller volumes a well-structured reporting database can be enough. We size the solution to your needs.

Which BI tool should we use?

We work with common BI tools and recommend based on your users, budget and existing licences.

How do you keep data trustworthy?

Automated tests on every pipeline, documented definitions and named owners for each dataset.

Next step

Discuss Data Engineering with Velnex.

Tell us what you are creating, replacing or improving. Velnex will help turn it into a practical engineering plan.