Data Integration Lead

JR United Kingdom; Slough; Hybrid; GBP 49,000 - 58,000; Full time

Job summary

A leading public sector organization is looking for a Data Integration Lead to enhance their data infrastructure. The successful candidate will combine their expertise in data engineering and ETL development, especially focusing on geospatial data to drive insights and improve community services. This senior role requires strong SQL skills, fluency in programming languages like Python and R, and experience with BI solutions and data governance frameworks.

Qualifications

• Strong track record in data integration and engineering, leading technical teams.
• Deep knowledge of SQL and programming languages like Python, R, DAX.
• Familiarity with geospatial data and tools is a strong advantage.

Responsibilities

• Shape the future of data infrastructure with focus on geospatial data.
• Create streamlined and secure data systems for improved decision-making.
• Lead complex data integration projects and manage technical teams.

Skills

Data Engineering

ETL Pipeline Development

SQL

Python

R

DAX

BI Solutions Design

Data Privacy

Data Security

Governance Frameworks

Tools

Airflow

Talend

Informatica

PostgreSQL

MongoDB

SQL Server

Power BI

Tableau

GIS tools

Microsoft Azure

Job description

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Data Integration Lead - Up to £58,000 P/A - Hybrid - North West

An innovative and data-driven Public Sector organisation is recruiting a Data Integration Lead to shape the future of its data infrastructure, with a particular focus on geospatial data and insight-driven services.

This senior role is ideal for someone who thrives at the intersection of data engineering and strategy. You'll play a pivotal role in creating streamlined, secure, and intelligent data systems that enable smarter decisions and improved services for local communities.

A solid track record in data engineering and ETL pipeline development, using tools like Airflow, Talend, or Informatica

Deep knowledge of SQL and fluency in programming languages such as Python, R, or DAX

Comfortable working with both relational and non-relational databases, including platforms like PostgreSQL, MongoDB, and SQL Server

Skilled in designing BI solutions using tools such as Power BI or Tableau, including modernising legacy reporting systems

Understanding of data privacy, security, and governance frameworks, particularly GDPR

Experience leading technical teams and delivering complex data integration projects

Geospatial capabilities (a strong advantage):

Familiarity with GIS tools and spatial data concepts

Experience incorporating geospatial data into analytics workflows

Ability to apply spatial insights to improve public services and policy outcomes

Desirable background includes:

Previous work in the public sector

Exposure to Microsoft Azure services, Power Platform, or DevOps for data workflows

Interest or experience in predictive analytics, machine learning, or AI-driven approaches

If you are interested in this role and have the relevant experience, please apply below and I'll give you a call to discuss next steps!