Data Specialist

Data Freelance Hub; Kinson; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A charity organization in the UK is seeking a Data Workstream Lead for an ERP transformation to oversee data delivery. The ideal candidate should have hands-on experience with Databricks, a solid background in data engineering, and be able to manage data governance throughout the transformation. This role involves leading all data activities, ensuring accurate and quality data usage, making a substantial impact in a mission-driven environment. A competitive day rate is offered, and the position allows for flexible working after an initial period.

Qualifications

• Strong hands-on experience with Databricks, including pipelines, notebooks, and Delta tables.
• Deep understanding of data migration strategies, data quality frameworks, and governance models.

Responsibilities

• Lead the data workstream across the full ERP transformation lifecycle.
• Own end-to-end data migration and define data architecture.
• Establish and embed data governance and quality controls.

Skills

Hands-on experience with Databricks

Data engineering background

Experience in charity or public sector

Data migration strategies understanding

Ability to communicate complex data concepts

Job description

⭐ - Featured Role | Apply direct with Data Freelance Hub

Location: Poole (1 day a week for 1 month then more flexibility)

Contract: 6 month contract

Sector: Charity / Not-for-Profit

Day Rate: £550 - £600 per day

Outside IR35

Company Overview

La Fosse is working with a well‑established charity organisation undergoing a major digital and ERP transformation. With a mission‑driven culture, they are investing in modern data capabilities and systems to better support the communities they serve. This role offers the chance to make a real impact at a pivotal point in their digital journey.

Role Overview

La Fosse is supporting the search for a Data Workstream Lead to own and drive all data‑related delivery across a large‑scale ERP transformation. This role will lead the design, migration, governance, and operationalisation of data, working across platforms such as Workday or Dynamics 365 (D365) and Databricks. The role acts as a critical interface between data engineering teams, ERP vendors, and business stakeholders, ensuring data is accurate, governed, trusted, and fit for both operational and analytical use. This role is ideally suited to candidates with a strong data engineering or technical background who have progressed into programme or transformation roles.

Key Responsibilities

• Lead the data workstream across the full ERP transformation lifecycle, from discovery through post‑go‑live stabilisation.
• Own end‑to‑end data migration, including source‑to‑target mapping, profiling, cleansing, transformation logic, validation, reconciliation, and cutover planning.
• Define and deliver data architecture and migration approaches aligned to ERP and analytics platforms.
• Work closely with data engineering teams leveraging Databricks (notebooks, Delta Lake, pipelines) to build scalable ingestion, transformation, and validation processes.
• Translate business and operational requirements into clear data models, datasets, and reporting outputs.
• Establish and embed data governance, documentation, lineage, quality controls, and auditability across ERP data domains.
• Act as the data SME for ERP data structures, integrations, reporting, and downstream analytics consumption.
• Manage risks, dependencies, timelines, and quality metrics for all data deliverables within the wider programme.

Candidate Profile

• Experience within the charity, public sector.
• Strong, hands‑on experience with Databricks, including pipelines, notebooks, and Delta tables.
• Background in data engineering, analytics engineering, or technology, with experience operating in business‑facing or transformation leadership roles.
• Deep understanding of data migration strategies, data quality frameworks, governance models, and end‑to‑end data lifecycle management.
• Ability to communicate complex data concepts clearly to senior, non‑technical stakeholders.

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