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Data & AI

Data Engineering & Business Intelligence

We build the data infrastructure that makes your organisation data-driven — reliable data pipelines, unified data warehouses, lakehouse architectures, and BI dashboards that give every team accurate, timely, and actionable data to make better decisions.

Data PipelinesData WarehouseLakehouse ArchitecturedbtPower BI / Tableau
SingleSource of truth for all business data
Real-timeData pipeline availability
99.9%Data pipeline reliability target
Self-serveBI for every business team

What We Build

Data Engineering & BI Capabilities

From raw data ingestion to business-ready dashboards — end-to-end data infrastructure that turns scattered data into trusted, queryable intelligence.

Data Pipeline & ETL/ELT Development

Automated data pipelines using Airflow, Prefect, dbt, or Fivetran — ingesting data from APIs, databases, SaaS tools, and event streams into your data warehouse with data quality checks and lineage tracking.

Data Warehouse Architecture

Designing and building data warehouses on Snowflake, BigQuery, Redshift, or Azure Synapse — with dimensional modelling, semantic layer design, and access control that makes data reliable, fast, and governable.

Lakehouse & Data Lake Architecture

Modern data lakehouse architectures using Delta Lake, Apache Iceberg, or Databricks — combining the storage economics of data lakes with the query performance and governance of data warehouses.

BI Dashboard Development

Business intelligence dashboards in Power BI, Tableau, Looker, or Metabase — purpose-built for finance, operations, marketing, sales, and executive audiences — with self-serve query capability and live data connections.

Real-Time Data Streaming

Real-time data pipelines using Kafka, Kinesis, or Pub/Sub — enabling live dashboards, real-time ML scoring, event-driven automation, and operational analytics that respond to events as they happen.

Data Governance & Quality

Data cataloguing, lineage documentation, data quality rules, anomaly detection, and access governance — building the trust infrastructure that makes your data reliable and your organisation confident in the numbers.

How We Work

Our Data Engineering Process

From data audit to reliable, self-serve BI — a structured approach that builds your data infrastructure on solid architectural foundations.

01

Data Audit & Architecture Design

Auditing your existing data sources, quality, and current reporting state — designing the target data architecture, stack selection, and implementation roadmap.

02

Data Warehouse Setup

Provisioning and configuring your data warehouse, establishing access controls, cost management policies, and the semantic layer that will power your BI layer.

03

Pipeline Development

Building automated ingestion pipelines from all your data sources — with scheduling, error handling, data quality checks, and monitoring from day one.

04

Data Modelling

Designing dimensional models, defining business metrics, and building the dbt or SQL transformation layer that produces reliable, business-ready datasets.

05

BI Layer Development

Building dashboards, reports, and self-serve query tools that give business teams direct access to their data — without requiring engineering involvement for every analysis.

06

Documentation & Enablement

Data dictionary creation, pipeline documentation, BI user training, and ongoing support — ensuring your team can own, extend, and trust the data infrastructure we build.

Why SharpLogic

Why organisations choose us for data engineering

Architecture before tools

We design the right data architecture for your scale and requirements before selecting tools — preventing the expensive re-architecture that happens when data stacks are built without planning.

Reliable data, trusted decisions

We build data quality monitoring, lineage tracking, and anomaly detection into every pipeline — so your business teams trust the numbers and make confident decisions from them.

Governance and compliance

Data access controls, PII handling, retention policies, and audit trails built into your data infrastructure — meeting GDPR and sector-specific data governance requirements.

Self-serve outcomes

We build data infrastructure that empowers your business teams to answer their own questions — reducing the analytics backlog and data team bottleneck that slows decision-making.

Industries We Serve

Data engineering across every sector

FinTech & BankingE-Commerce & RetailHealthcare & Digital HealthSaaS & TechnologyMedia & EntertainmentManufacturing & IndustryGovernment & Public SectorEnterprise & Corporate

Build your data foundation

Ready to make your organisation data-driven?

Whether you need your first data warehouse, a modern lakehouse migration, or self-serve BI for your teams — our data engineers build the infrastructure that turns scattered data into reliable business intelligence.