Your data lives in five different places and nowhere clean.
ETL pipelines that consolidate your data into one reliable source.
Service
Data Engineering
ETL pipelines, data warehousing, big data processing, and data integration solutions.
Sound Familiar?
The problems we get called in to fix.
If you recognise two or three of these, it's worth a conversation.
Reports take days to run because of how data is structured.
Data warehousing designed for the queries your team actually runs.
You're collecting data but can't use any of it.
Big data processing pipelines that turn raw data into something usable.
Every analyst builds their own version of the same pipeline.
Centralized, reusable data pipelines instead of duplicated one-off scripts.
Your data warehouse slows to a crawl as it grows.
Warehousing designed to stay fast as your data volume scales.
Bad data quietly breaks downstream reports.
Validation built into the pipeline so bad data gets caught early.
In Short
What data engineering involves.
Reports and AI are only as reliable as the data underneath them. Data engineering is the plumbing: pipelines that pull data from every system, clean and validate it, and load it into a warehouse where it is consistent and fast to query. Built once and monitored, it replaces the one-off scripts and copy-pasted exports that break quietly.
Trusted by 40+ companies
What's Included
Where this service applies.
Not an upsell list — this is what's actually covered under data engineering.
ETL pipelines is included in Data Engineering, scoped in your written quote.
Data warehousing is included in Data Engineering, scoped in your written quote.
Big data processing is included in Data Engineering, scoped in your written quote.
Data integration solutions is included in Data Engineering, scoped in your written quote.
ETL pipelines
ETL pipelines is included in Data Engineering — scoped to what your project actually needs and listed in the written quote.
Who It's For
Who asks us for data engineering.
The situations people are usually in when they ask us for this.
01
One source of truth
Sales, finance and operations data combined into one warehouse with agreed definitions.
02
Slow reports
Reports that time out when run against the live application database.
03
Preparing for AI
Clean, structured data needed before forecasting or AI features can work.
04
Fragile scripts
Nightly exports and scripts that fail without anyone noticing.
Scope Estimator
Rough out your timeline in ten seconds.
Pick what you're building and we'll show an honest range. It's an estimate, not a quote — but it's the same maths we start from.
01 — What are you building?
02 — How big is it?
03 — Anything else? (optional)
How A Data Engineering Engagement Runs.
Six stages from first call to live delivery — nothing advances until the stage before it is signed off.
01
Discovery
2–3 daysWe work out what actually has to be solved — the constraints, the users, and what can be cut from scope.
02
Scoping
3–5 daysA concrete plan agreed before anything is built, so nothing gets rebuilt later because of a missed assumption.
03
Design & Architecture
1–2 weeksThe technical approach and any interface work, reviewed with you until the direction is signed off.
04
Build
2–8 weeksBuilt in short cycles with visible progress — you see it working early and often, not just at the end.
05
QA & Launch
1–2 weeksTested against real conditions before it goes live, then deployed with a rollback plan in place.
06
Support
OngoingPost-launch fixes, monitoring, and improvements. You keep everything either way.
Quality Bar
The commitments we hold ourselves to on data engineering.
Not aspirations — the same terms on every engagement, regardless of scope.
100%
Scope agreed in writing
Before any work starts
24h
Typical response time
During an active engagement
Tools We Use
What we use for data engineering.
Chosen per project, not by habit — the right tool for your scale, your team, and what you'll need to maintain.
Python
PostgreSQLBiBigQuery
ApApache Airflow
dbdbt
AWS
DockerPaPandas
Client Voices
What clients say once we ship.
40+Companies trust us
11Industries served
We were able to successfully complete the project by meeting the best partner. They have a very good understanding of development and skills, and are fully committed to the task schedule.
Their communication and problem-solving skills are top-notch. The entire workflow was smooth and professional.
Amazing team! Delivered everything on time with exceptional quality. Totally recommend!
Honestly, we were struggling to keep up with our growth until they stepped in. They didn't just build the tech; they actually understood our users. It's been a total game-changer for our workflow, and the design is just spot on.
What I love most is that they don't just say 'yes' to everything — they tell us what's actually going to work. The whole process felt super collaborative, and they genuinely cared about making the project a success.
Our Principles
Two commitments that govern every project.
No deadline we don't hold ourselves to.
We pad the schedule honestly upfront so we don't have to renegotiate halfway through. If we say a date, we hit it.
DeliveredNo progress you can't see.
We don't go dark for a month and come back with a surprise. You see the work as it happens.
VisibleOur Technology Stack
We use modern, battle-tested tools to build scalable and maintainable solutions.
Frontend & UI
Backend Core
Data & Storage
Cloud & DevOps
Design & UX
Security & QA
99.9%Uptime SLA
2xFaster Delivery
Top 1%Engineering Talent
What You Receive
Everything, at handover.
Here is the exact list of what lands in your accounts when the project closes.
01
Domain access
Your domain is registered in your name, with full access to it — DNS, renewals, and transfers stay in your hands.
02
Admin access
A login to the admin panel, so your team can manage content without touching code.
03
Design files
Any design files used to plan the build, so future work doesn't start from scratch.
04
Handover walkthrough
A live session showing your team how to use everything we built.
Everything above transfers to your accounts when the project closes.
Why Us
What you're actually comparing for data engineering.
A template, a freelancer, and a big agency all solve part of the problem. Here's where each one tends to leave you exposed.
CodelixTemplate / builderFreelancerLarge agency
Timeline you can hold us toYesYesNoPartial
Built for your exact workflowYesNoMaybeYes
One team, one point of contactYesNoYesNo
Post-launch support & docsYesNoMaybeYes
Transparent, fixed pricingYesYesMaybeNo
Won't vanish mid-projectYesYesNoYes
YOU GET THE DOMAIN.YOU GET THE ADMIN.FIXED SCOPE.FIXED PRICE.
FAQ
Questions we're asked before every engagement.
Don't see yours here? Ask us directly →
ETL transforms data before loading it into the warehouse; ELT loads raw data first and transforms it inside the warehouse. Modern warehouses make ELT simpler and more flexible, so most new pipelines use it.
If reporting runs against your live database and slows it down, or data comes from several systems, yes. A small business can often start with a PostgreSQL warehouse before anything larger.
Validation checks run on every load — missing values, duplicates, unexpected ranges — and failed checks stop the load and alert someone instead of passing bad numbers to reports.
Fixed scope, fixed price — you get a written quote before any work starts, based on what you actually need, not an hourly guess.
Every project includes a post-launch support window for fixes. After that, you can keep us on a monthly retainer for updates, fixes, and support.
What Happens Next
Three steps from here to kickoff.
No drawn-out sales process. Reach out and here's exactly what follows.
01
Discovery call
A no-pressure call to understand what you're building and what's not working. No slide deck, no sales pitch.
02
Written proposal
A clear scope, a fixed price, and a timeline — in writing. You know exactly what you're getting before you commit.
03
Kickoff
We lock the scope and start. You get a point of contact and visible progress from day one.
Explore More
The rest of what we do.
01
Performance OptimizationWebsite speed optimization, database tuning, API optimization, scalability improvements, and performance audits.
→02
Security & MaintenanceSecurity updates, vulnerability fixes, monitoring, backups, maintenance, and ongoing technical support.
→03
Dedicated Development TeamsHire dedicated developers, UI/UX designers, QA engineers, AI engineers, and full-stack development teams.
→04
SaaS Product DevelopmentBuild scalable SaaS platforms, multi-tenant applications, subscription systems, and cloud-based products.
→05
Cloud Solutions & MigrationCloud-native application development, cloud migration, infrastructure modernization, and cloud consulting.
→06
API Development & IntegrationRESTful APIs, GraphQL APIs, third-party integrations, payment gateways, CRM/ERP integrations, and middleware development.
→Start Here
Tell us what you're building.
We'll tell you how we'd build it.
A structured conversation about data engineering — your users, your goals, your constraints. We scope what should be built first, what can wait, and what it takes to ship it.