Data Engineer

iO Associates; Reading; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

A leading company in land and property data solutions is seeking a Data Analyst to join their Data Engineering team. This role offers the chance to contribute to a key digital transformation programme, unearthing insights from complex datasets and impacting how land data is utilized nationwide. The successful candidate will analyze, visualize, and present data while working collaboratively in a hybrid environment.

Qualifications

• Proven experience in data-driven or engineering environments.
• Strong SQL skills and experience with large datasets.
• Proficient in data visualization tools like Power BI or Tableau.

Responsibilities

• Analyse large datasets to identify trends and data quality issues.
• Collaborate with teams to deliver insights.
• Build dashboards using Power BI or Tableau.

Skills

SQL

Data visualization

Data analysis

Collaboration

Tools

Power BI

Tableau

Python

AWS

QGIS

FME

Job description

Job Title: Data Analyst - Data Engineering
Location: Remote / Reading, UK (Hybrid - Office & Remote)
Type: 12 months Fixed-Term Contract (FTC)

Our client is a market leader in land and property data solutions across the UK, empowering the property sector with powerful digital tools and data-driven insights. From government bodies and legal firms to mortgage providers and environmental consultants, their work is transforming how land information is accessed and utilised nationwide.

We're now looking for a talented Data Analyst to join their Data Engineering team, contributing to a high-profile national digital transformation programme. If you're passionate about uncovering insights from complex datasets and thrive in a collaborative, fast-paced setting, this is your chance to make a meaningful, real-world impact.

Key responsibilities:

• Analyse large, complex datasets to identify trends, patterns, and data quality issues.
• Collaborate with cross-functional teams to define data needs and deliver insights.
• Build dashboards and reports using tools like Power BI or Tableau.
• Support ETL workflows and contribute to data pipeline development.
• Ensure accuracy and consistency of data throughout transformation.
• Present findings clearly to both technical and non-technical stakeholders.
• Play a key role in the HM Land Registry programme, helping modernise land charge registers across England and Wales.

Requirements:

• Proven experience as a Data Analyst in data-driven or engineering environments.
• Strong SQL skills and hands-on experience with large datasets.
• Proficient in data visualisation tools like Power BI, Tableau, or similar.
• Bonus: Experience with Python/R, geospatial tools (e.g. FME, QGIS), or cloud platforms (AWS).

Apply now and help lead the transformation of how vital land data is managed across the country.