Job Description

Advert Closes: Wednesday 1st October

Are you passionate about data and cloud technologies?

Join us as a Senior Data Engineer and help shape the future of The Crown Estate's Azure data platform.


In this role, you'll contribute to building and evolving our cloud-based data infrastructure. You'll support technical data engineering initiatives and deliver end-to-end analytical solutions that are reliable, scalable, secure, and cost-effective. Your focus will be on automating data pipelines using Azure technologies such as Bicep, Durable Functions, Data Factory, Databricks, and Synapse.


We're looking for someone who enjoys making sense of data, ensuring its quality and delivering impactful data services that support our strategic goals.

Key Responsibilities

Design & Implement

: Build and manage high-performance data pipelines for reporting, analytics, and data science.

Champion

Best

Practices

: Apply industry standards for development, testing, CI/CD, and documentation

Monitor

& Maintain

: Ensure data pipelines are consistently available and complete.

Analyse & Improve:

Identify performance insights and opportunities for optimisation.

Collaborate & Mentor:

Support and guide team members to ensure data usability and integrity.

Engage Stakeholders:

Understand and deliver on stakeholder requirements.

Prioritise Security:

Maintain robust information security practices.

Stay Curious:

Keep up with emerging cloud technologies and trends.

What We're Looking For

We welcome applicants from all backgrounds and experiences. If you don't meet every requirement but feel excited about the role, we encourage you to apply.

Education/Experience:

Degree in a relevant field (e.g. Computer Science, Engineering, Mathematics) or equivalent practical experience.

Technical Skills:

Experience developing data pipelines for big data, relational databases, and data warehousing.

Azure Expertise:

Hands-on experience with Azure tools like Bicep, Data Factory, Functions/Durable, Synapse, Azure SQL DB, Event Hubs, and Databricks.

Programming

Knowledge

: Proficiency in PySpark, Python, SQL, and streaming technologies.

DevOps Familiarity:

Experience with CI/CD and Azure DevOps.

API

Development

: Ability to build scalable and efficient API data services.

Problem

Solving

: Proactive approach to identifying and resolving issues.

Bonus

Skills

: Experience with geospatial data, machine learning, or AI is a plus.

Stakeholder

Engagement

: Strong relationship-building skills across all levels.

What You'll Bring

A collaborative mindset and a passion for continuous learning. A proactive approach to problem-solving and process improvement. Clear communication skills, especially when explaining technical concepts. A commitment to inclusive and customer-focused solutions. The ability to influence and align teams around shared goals.

Join us and be part of a diverse, forward-thinking team that's driving innovation in data engineering.

We value different perspectives and are committed to creating an inclusive workplace where everyone can thrive.

Apply now and make a meaningful impact with your skills and ideas.

Our Offering / benefits:

As well as a competitive salary, pension and performance related bonus offering, we have a wealth of benefits available ranging from flexible working; market leading family policies and shopping discounts in the West End, to private healthcare; life and critical illness cover and 28 days holiday with the option to buy more. We value work life balance and your wellbeing highly, enabling you to be your best self to work.

Disability Disclaimer:

We are a proud disability confident employer and operate the offer of interview scheme

Disability Confident employer scheme - GOV.UK (www.gov.uk)

.


We are happy to offer alternative application methods or formats and can be flexible on our process to enable you to have the best opportunity.


If you have any questions about our recruitment process or would like to talk about adjustments, please contact us on

careers@thecrownestate.co.uk