Data Engineering

Transforming Businesses Through Innovative Data Solutions

Infrastructure Optimization

Build scalable, robust data ecosystems that drive business innovation.

Advanced Data Integration

Seamlessly collect, transform, and unify data from multiple sources.

Interconnected Analytics

Create comprehensive data pipelines for holistic business insights.

Predictive Modeling

Leverage advanced analytics to anticipate trends and opportunities.

Scope & deliverables

Exactly what we deliver

Reliable pipelines and warehouses: idempotent loads, schema evolution, and cost-aware SQL—how serious data platforms ship batch + streaming foundations.

Ingestion & orchestration

  • Batch + incremental patterns; CDC assessment when near-real-time is required.
  • Orchestration DAGs with SLAs, retries, and alerting on late arrivals.
  • Secrets, IAM least privilege, and network paths documented.

Warehouse modeling

  • Staging → conformed → mart layering; naming conventions enforced.
  • Partitioning & clustering plan for cost/latency tradeoffs.
  • Slowly changing dimensions; surrogate keys where appropriate.

Quality & ops

  • Great Expectations / dbt tests on critical columns and row counts.
  • Backfill procedures with throttling to protect sources.
  • Cost monitoring: slot/scan alerts, query attribution tags.

Handover

  • Lineage diagrams; on-call runbooks for pipeline failures.
  • Developer onboarding doc: how to add a new source safely.

Outcomes we align to

  • →Trustworthy nightly (or hourly) datasets for downstream analytics.
  • →Lower warehouse spend through modeling and query hygiene.

Typical tooling & stack

Final choices depend on your environment; we document decisions in an architecture note for every engagement.

Airflow / Prefect / DagsterdbtSnowflake / BigQueryKafka (when needed)Docker

How we work with you

  • Greenfield warehouse
  • Pipeline rescue / cost optimization
  • Managed data platform
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Revolutionize Your Data Infrastructure
Unlock innovation with Dura Mater's cutting-edge Data Engineering solutions, designed to transform your data landscape.
Our expert team crafts scalable architectures that optimize data pipelines, driving informed decision-making and operational excellence.
Partner with us to revolutionize how you harness and utilize data.
Data Engineering

Offices & map

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+44-7990267683

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How we work

Your project journey

Four predictable stages from first contact to delivery—so you always know what happens next, whether we proceed together or point you elsewhere.

  1. 1

    Triage & intro call

    A delivery lead reads your brief, clarifies goals and constraints, and books a focused call—usually within one business day of a complete submission.

  2. 2

    Paperwork when you need it

    If you want an NDA or vendor security pack before sharing architecture, we handle that early so the technical conversation can go deep.

  3. 3

    Written proposal

    You get milestones, assumptions, team shape, and commercial terms in one place. Scope changes go through an explicit change path—no silent drift.

  4. 4

    Kickoff & delivery

    Repos, environments, and communication cadence agreed, then build, UAT, and go-live. Optional retainers cover roadmap, support, or training.