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- Tasks: Lead data integration projects and develop intelligent data systems for public services.
- Company: Join an innovative public sector organisation focused on data-driven solutions.
- Benefits: Enjoy a hybrid work model and competitive salary up to £58,000.
- Why this job: Shape the future of data infrastructure and make a real impact in local communities.
- Qualifications: Experience in data engineering, ETL development, and proficiency in SQL and programming languages required.
- Other info: Geospatial skills are a plus; previous public sector experience is desirable.
The predicted salary is between 46000 - 70000 £ per year.
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.
Key experience we're looking for:
- 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!
Contact Detail:
iO Associates - UK/EU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Lead
✨Tip Number 1
Network with professionals in the public sector and data integration fields. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in geospatial data and analytics.
✨Tip Number 2
Showcase your technical skills by working on personal projects or contributing to open-source initiatives that involve ETL pipeline development or BI solutions. This hands-on experience can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific tools mentioned in the job description, such as Airflow, Talend, and Power BI. Consider taking online courses or certifications to demonstrate your proficiency and commitment to continuous learning.
✨Tip Number 4
Prepare for interviews by brushing up on your knowledge of data privacy and governance frameworks, especially GDPR. Be ready to discuss how you've implemented these principles in past projects to ensure compliance and security.
We think you need these skills to ace Data Integration Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, ETL pipeline development, and any relevant tools like Airflow or Talend. Emphasise your programming skills in Python, R, or DAX, and showcase your familiarity with both relational and non-relational databases.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data integration and how your background aligns with the role. Mention specific projects where you've successfully led technical teams or delivered complex data integration projects, particularly in the public sector.
Highlight Geospatial Experience: If you have experience with GIS tools or incorporating geospatial data into analytics workflows, make sure to highlight this in both your CV and cover letter. Discuss how you've applied spatial insights to improve services or policy outcomes.
Showcase Your Leadership Skills: Since this is a senior role, it's important to demonstrate your leadership capabilities. Include examples of how you've led teams or projects, particularly those that involved modernising reporting systems or implementing data privacy and security frameworks.
How to prepare for a job interview at iO Associates - UK/EU
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering and ETL pipeline development. Highlight specific tools you've used, such as Airflow or Talend, and be ready to explain how you've applied SQL and programming languages like Python in your previous roles.
✨Demonstrate Your Understanding of Geospatial Data
Since this role involves geospatial data, make sure to talk about any experience you have with GIS tools and how you've incorporated spatial data into analytics workflows. Providing examples of how you've used spatial insights to improve services will set you apart.
✨Discuss Leadership Experience
As a Data Integration Lead, you'll need to lead technical teams. Be ready to share examples of how you've successfully managed projects and guided teams through complex data integration challenges, especially in the public sector.
✨Familiarise Yourself with Data Governance
Understanding data privacy and governance frameworks is crucial for this role. Brush up on GDPR and be prepared to discuss how you've ensured compliance in your past projects, as well as how you approach data security in your work.
