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Data engineering and integration services

When your data lives in different systems and takes weeks to compile into reports, you need proper infrastructure. Our UK-based data engineering consultants build automated pipelines that connect everything and deliver clean, reliable data when you need it.

We help growing businesses move from manual data handling to modern platforms ready for analytics, AI, and whatever comes next.

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How we can help you

Platform implementation

Complete ground-up builds for businesses starting fresh.

Warehouse modernisation

Move from legacy on-premise systems to modern cloud platforms.

Pipeline development

Connect your existing systems with automated data flows.

Platform support 

Manage your pipelines and keep everything running smoothly.

Supporting over 250 customers

  • PizzaExpress
  • Ingersoll Rand
  • Forbidden Planet
  • Anglia Ruskin University
  • Ineos
  • Komatsu
  • Pipers Crisps
  • NinetyOne
  • Oxford Biomedica

Why data engineering matters

Modern businesses rely on fast, reliable, and scalable data flows. Data engineering lays the foundation for every data initiative, from analytics and reporting to automation and AI. Without it, progress stalls. With it, raw data becomes actionable insights.

Data engineering helps:

  • Eliminate manual data wrangling and reporting delays
  • Enforce a single-version of the truth
  • Enable governed, automated data pipelines
  • Improve data quality, lineage, and trust
  • Scale data initiatives across departments and platforms

 

How we handle your data

At Ometis, We build infrastructure that connects your systems and delivers clean data for business intelligence.

Data Ingestion

Whether you're pulling from APIs, databases, or flat files, we ensure your data is captured accurately, efficiently, and ready for transformation.

Data Transformation

Turn raw data into structured formats through cleansing, normalisation, and enrichment - laying the groundwork for reliable analysis.

Data Curation

Ensure that transformed data is organised, validated, and contextually relevant. It’s about maintaining quality, lineage, and usability across the data lifecycle.

Our data engineering solutions

Modern platforms, expert implementation, and proven governance - designed for UK businesses.

Capability Offering Outcome
Platform Implementation and Integration Best-in-class technology: Trusted tools including Snowflake, Databricks, Fabric, Azure, dbt, Qlik Talend Cloud, Hevo, Stitch Trusted and credible tools that deliver excellence
Deployment and configuration: Seamless setup tailored to your environment Built for performance and agility
Solution architecture design: Scalable frameworks built for performance and flexibility Reliable, scalable analytics foundation
Cloud Migration & Replatforming

 Seamless transitions to AWS, Azure, GCP,  Fabric, Snowflake, Databricks, or hybrid setups. Modern, scalable, solutions that support current and future initiatives
Cloud and AI readiness assessments and legacy system audits Surface issues, considerations and suitable of moving to a new data platform.
Data Integration and Transformation Data pipeline design and development: Real-time and batch pipelines using modern frameworks and orchestration tools Efficient data extraction, transformation and storage
Data modelling and scripting: Structured data for faster, smarter analysis Well-structured, reliable datasets that enable fast querying, deeper analysis, and scalable automation
Dashboard and visualisation development: Intuitive visuals that support real decisions Clear, intuitive dashboards that turn complex data into actionable insights
API & System Integration Connect disparate systems for unified data access and automation
 Connect your systems so actions happen automatically, no manual steps, no delays.
Governance & Quality Security and governance: Compliance-ready controls and secure access frameworks Robust controls and data access protocols that support compliance, minimise risk, and build organisational trust in data systems
Project management and quality assurance: Delivery aligned with your goals — on time, aligned to specification and built to last Projects delivered on schedule, to specification, and built for long-term value. Quality isn't an add-on—it's engineered into every stage
Strategy & Support

 Data Strategy: Aligning data initiatives with overall business objectives. A defined roadmap that connects analytics initiatives to your business objectives, ensuring every investment in data drives strategic impact
Best practice advice and implementation: From planning to optimisation, we guide what works Solutions grounded in proven methods, configured for your context. Reduce friction, increase adoption, and avoid common pitfalls
Ongoing consultancy and training: Build capability in-house and raise data literacy across decision makers Internal teams grow in capability and confidence, leading to stronger data literacy, better stakeholder alignment, and faster uptake of insights

 

Schedule a Call

What can you expect?

In short, we offer a simple, honest and interactive demo.

A typical agenda:

  • Introductions
  • What are your current challenges
  • High-level slides of our offerings
  • Q&A

Outcomes:

  • Knowledge of how we can benefit your organisation
  • Best practice advice

But, this is your meeting, your time, so feel free to focus us on what you need from the call.

 

Data engineering consulting and services

What tools and platforms do you work with?

We work with your existing stack or help you choose the right tools. Our team are experts in:

  • Data Platform: Snowflake, Databricks, BigQuery, Azure Synapse, Microsoft Fabric
  • Integration: Azure Data Factory, Fivetran, Qlik Talend Cloud, Hevo, Stitch
  • Transformation: dbt, Qlik Talend Cloud
  • Script Syntax: Python, SQL, REST APIs
We’ve got messy data. Can you work with it or clean it up?

Absolutely. Messy, siloed, or half-structured data is common. We map, cleanse, and transform it as part of the data pipeline and modelling phase. This ensures your analysis is built on solid foundations.

Do I need a data platform if I already use BI tools like Qlik or Power BI?

We recommend it for medium-large organisations or any business with complex data. Data warehouses, lakes or lakehouses provide a scalable, centralised foundation for storing structured and unstructured data, enabling faster analytics, better governance, and seamless integration across tools and teams.

What’s the investment and what’s the return?

We tailor solutions to your size, structure, and ambition. Most clients start seeing ROI within the first 90 days, whether through time saved, decisions improved, or costs avoided.

Do you work with [insert tool], we’re already using it.

Likely yes! We partner with platforms like Qlik, Microsoft Power BI, Snowflake, Databricks, and more. If you’ve got a stack already, we’ll enhance it, there is no need to reinvent the wheel.

How will this help us hit our strategic objectives?

We start by understanding your goals then align your data and technology to provide insight and drive action. Whether it's margin uplift, customer retention, or cost reduction, the outcomes stay front and centre.

I want to learn more about Ometis and get a quote

For more detailed information book a call with our team.