Graduate Data Engineer

We are looking for a Graduate Data Engineer who is passionate about data, problem-solving, and learning how modern data platforms are built and maintained in Azure. This role is ideal for someone who has recently completed a technical degree and wants to develop skills across data engineering, analytics engineering, and the Microsoft data ecosystem.

You will work with experienced data engineers, analysts, and architects to design, develop, and deliver high-quality data pipelines, models, and structures that support analytics, reporting, and operational data needs.

The role offers hands-on experience across Azure Synapse Analytics, Azure Data Factory, Databricks, SQL, Python, and Power BI modelling, with strong focus on modern data engineering best practices, governance, and automation.

Initial projects will include building and maintaining data pipelines, supporting ingestion and transformation workflows, managing data models, and delivering structured, well-governed data to analytics teams.

This role will be based at either our Leeds or Edinburgh office., * Applying data engineering fundamentals, including ingestion, transformation, modelling, quality checks, and optimisation.

• Working with SQL and Python to build, maintain, and improve data processes.
• Supporting the development and maintenance of data models, both operational and analytical.
• Building, orchestrating, and monitoring data pipelines across the Microsoft data stack.
• Supporting ingestion and transformation workflows to deliver clean, reliable, structured data to analytics teams.

Azure Data Platform

• Using Azure Synapse Analytics to manage data warehousing, compute, and analytical workloads.
• Working with Azure Data Factory (ADF) to build automated ingestion and transformation pipelines.
• Supporting development in Azure Databricks for scalable processing, notebooks, and advanced data transformations.
• Assisting with data governance and metadata management, ensuring consistency, lineage awareness, and proper stewardship.

Analytics & Reporting Support

• Assisting with Power BI data modelling, dataset preparation, and semantic layer design.
• Ensuring that data delivered to reporting teams is structured, governed, and optimised for performance.

DevOps & Automation

• Supporting CI/CD for data workloads using Azure DevOps or GitHub Actions.

• Contributing to automated deployment, testing, and version control of data pipelines, notebooks, and models.

• Helping to apply modern engineering practices such as code reviews, documentation, and automated checks.

Collaboration & Knowledge Sharing

• Working closely with data analysts and business teams to understand requirements.

• Contributing to documentation for data processes, data models, lineage, and platform standards.

• Participating in knowledge sharing, stand ups, and improvements to engineering practices.

What success looks like

• Demonstrated growth in data engineering skills, including pipeline development, modelling, and data quality.
• Increasing confidence working across Azure Synapse, Data Factory, Databricks, SQL, and Python.
• Delivery of well-structured, reliable, and well-governed data assets for analytics use cases.
• Visible contribution to data platform improvements, automation, and engineering standards.
• Positive collaboration with team members and stakeholders.

Do you have experience in SQL?, * Strong technical degree (e.g., Computer Science, Software Engineering, Data Science, Mathematics, Engineering, or similar).

• Solid grounding in programming fundamentals (ideally Python or similar high-level language).

• Sound understanding of data concepts: relational databases, SQL, data modelling, and basic analytics.

• Exposure to cloud concepts (Azure preferred) with appetite to train into Azure Synapse and modern data platforms.

• Analytical mindset with the ability to reason about data quality, performance, and scalability.

• Comfortable learning new tools and technologies (e.g. Power BI, Azure services) in a structured environment.

• Clear communicator, curious by nature, and able to work collaboratively in cross-functional teams.

• 30 days holiday plus public holidays
• 3 days of celebratory leave (to be used for your birthday, wellbeing, volunteering, or other celebratory events important to you.
• Private medical insurance, 24/7 digital GP and health advice
• Employee assistance programme providing support for your mental and physical health
• Group pension scheme
• Life assurance scheme
• Eyecare vouchers
• Enhanced family leave
• Referral scheme

We may close this vacancy early if we receive sufficient applications. Therefore, if you are interested, please submit your application as early as possible. Please note we are aiming to hire as soon as possible and therefore if you have not yet graduated we may not be able accommodate a later start date. We will discuss this further at application stage.

About Progeny

We create, enhance, and preserve wealth.

We are the first and only firm in the UK to bring together independent financial planning, asset management, tax, HR, and private and corporate legal services.

We are forward-thinking and tech-driven, using technology to eliminate paperwork, improve communications, and enrich the relationship between client and adviser.

At Progeny, we believe that we all have the power to make good things happen. We want to use our success as a catalyst for making real change.

We are the proud winners of the Yorkshire Financial Awards 2024 Best Employer award for the third year running.   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.