Data Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
Good value, reflecting the demand for data engineers, especially in cloud environments, balanced by the need for specific technical skills.
- Hands-on experience with Azure and Databricks provides valuable skills
- Impactful public sector project involvement
- Flexible hybrid working arrangement
- Need for specific technical expertise may limit candidates
Pros
- Hands-on experience with advanced technologies like Azure and Databricks.
- Contribution to impactful projects in public sector.
- Work in a hybrid setup encourages flexibility.
Cons
- Requires specific technical skills that may deter some candidates.
- Potentially high-pressure projects in the public sector.
- Need for constant upskilling in fast-moving tech environment.
Who it's for
Mid-Level • Hybrid
Good fit
- Data engineers proficient in Azure and Databricks
- Professionals excited about public sector innovations
- Individuals eager to work with data solutions.
Not recommended for
- Novice candidates without data engineering experience
- Individuals not familiar with cloud platforms
- Those seeking roles outside of the public sector.
Motivation fit
Key skills
About the job
What’s in it for you?
- Make an impact on education and wellbeing through a high-profile public sector project.
- Join a collaborative, hybrid team passionate about data-driven solutions.
- Develop your skills with hands-on experience in Azure, Databricks, and other cutting-edge technologies.
Role
The Data Engineer will play a key role within the System Performance Division, which leverages data as a strategic asset to drive improvement and evidence-based decision-making.
This role sits within the Data Operations and Service directorate, responsible for ingesting, storing, and managing high-quality data that supports analytics and reporting functions.
As a Data Engineer, you will develop and maintain robust, scalable data pipelines using Microsoft Azure and Databricks, ensuring data is accurate, reliable, and readily available for business intelligence and strategic use. You’ll work collaboratively with internal and external stakeholders, providing technical guidance and supporting data-driven initiatives that contribute to the organisation’s strategic objectives.
Key Responsibilities
Deliver technical expertise in the design, development, and implementation of data engineering solutions using Microsoft Azure and Databricks.
Build and maintain scalable and efficient data pipelines to support analytics and reporting requirements.
Attend stakeholder meetings to understand data requirements and contribute to technical solutions.
Collaborate with cross-functional teams, including data scientists, analysts, and business users, to deliver data solutions aligned with strategic goals.
Ensure data quality, accuracy, and integrity through rigorous validation and governance practices.
Provide technical support, troubleshooting, and documentation for data workflows and infrastructure.
Contribute to continuous improvement initiatives and promote a culture of data literacy and innovation.
What You’ll Need
Essential Criteria
- Tertiary qualification in Information Technology, Computer Science, Data Science, or a related field; or equivalent relevant experience.
- Hands-on experience with Microsoft Azure and Databricks (or similar cloud-based data platforms).
- Strong knowledge of data pipeline development, data modelling, and transformation.
- Proven ability to troubleshoot and resolve complex data-related issues while maintaining data quality.
- Excellent communication skills, with the ability to translate technical information for varied audiences.
- Demonstrated experience in collaborating with internal and external stakeholders on data-driven initiatives.
- Commitment to continuous learning and staying current with emerging data engineering technologies and best practices.
Desirable Criteria
- Microsoft Certifications in Azure SQL, Synapse, Databricks, or similar technologies.
- Experience with Snowflake or other modern data warehouse environments.
- Familiarity with data governance frameworks and best practices.
- Experience working within public sector or large-scale enterprise environments.
Talented, committed, can-do individuals have always been the cornerstone of this dynamic organisation. If you have what it takes to thrive in this role and want to know more, please reach out to Isha Khanna at isha.khanna@akkodis.com
Joining Akkodis as a Consultant
· Weekly Pay
· No payrolling processing fees
· Upskilling opportunities and training discounts
· Consultant gatherings events
· Akkodis SME meet ups/information sessions
· EAP Support Program
· Dedicated Account Management Support Team
Privacy
Due to new privacy laws regarding the collection and handling of personal information, all applications must be submitted online. Once you click on the “apply for this job” button below you will be directed to our Online Centre where you will have the opportunity to read and agree to our Privacy and Consent statements and it will allow your details to be formally lodged and processed correctly.
“Akkodis is an Equal Opportunity employer, committed to all forms of workforce inclusion. We actively invite and encourage applications by candidates from diverse backgrounds”
Akkodis is an Equal Opportunity employer, committed to all forms of workforce inclusion. We actively invite and encourage applications by candidates
|||CandidateProfile|||The Data Engineer will play a key role within the System Performance Division, which leverages data as a strategic asset to drive improvement and evidence-based decision-making.
|||CandidateProfile-end|||
