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Data Engineering

Connected, checked data available when needed.

What this covers

Data integration involves differences in structure, timing and meaning across systems. We examine sources, access methods and dependencies, then define how to capture new records, updates and deletions. Each flow has explicit expectations for fields, keys, refresh frequency and destination. ERP systems, production systems, applications and files are connected while keeping the origin of each data item and its transformation path recognisable through to its intended use.

We design repeatable loading processes: rerunning a step needs defined behaviour that avoids duplicating records or losing updates. Structure, completeness and consistency checks distinguish usable data from exceptions that need investigation. Orchestration, execution records and recovery procedures help explain where a process stopped and which information is affected. The design accounts for access restrictions, available processing windows and operating responsibilities agreed with the team, including how source changes are identified and handled.

Inside the work

  • Ingestion and updates

    We choose full or incremental extraction to suit the source, defining keys, change handling and loading windows.

  • Quality and exceptions

    We check fields and relationships, retaining exceptions and the context needed to understand and correct them.

  • Orchestration and recovery

    We specify dependencies, retries and restart points so an interruption can be handled without indiscriminately rerunning the entire flow.

  • Transformation lineage

    We connect sources, processing steps and destinations through metadata and records that help assess errors and the impact of changes.

What takes shape.

Practical work products, scoped to the engagement.

  1. Integration flows

    Ingestion and transformation processes implemented within the agreed scope, with documented configuration and dependencies.

  2. Execution checks

    Checks on loading and data quality, with evidence of exceptions and criteria for handling them.

  3. Operating instructions

    Procedures for running, checking and recovering flows, with defined responsibilities and intervention points.

Start with your context.

We define the question, sources, and expected outcome before choosing tools and a path.

Start with an assessment