Graduate Data Engineer
UK Visa Sponsorship Analytics
Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Progeny. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Description
We’re excited to announce the launch of our brand‑new Graduate Programme — a pilot initiative designed to bring fresh perspectives, new talent, and bold ideas into our business. This is a fantastic opportunity for a driven graduate to join us at a pivotal moment, help shape the future of the programme, and make a real impact from day one.
If you're ready to kick‑start your career, we’d love to hear from you.
About The Role
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.
Key Responsibilities Include
Core Data Engineering
If you're ready to kick‑start your career, we’d love to hear from you.
About The Role
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.
Key Responsibilities Include
Core Data Engineering
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Structured training and mentoring from experienced colleagues.
- Opportunities to contribute to real‑world software projects with increasing ownership.
- Hands‑on exposure to the full Microsoft data stack: Synapse, Data Factory, Databricks, Power BI, and Azure DevOps.
- Opportunities to work end‑to‑end on data solutions, from ingestion to modelling and deployment.
- Exposure to modern tools, technologies and frameworks.
- CV & Cover Letter (your cover letter should explain why you are interested in this role, how your education or background aligns, your appetite to learn and develop)
- Predictive Index Behavioural & Cognitive Exercises
- Technical Assessment
- Interview
- 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
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.