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- Tasks: Lead the technical direction of a cutting-edge data platform and build robust data architectures.
- Company: A scaling tech organisation in property and legal technology, offering flexible work options.
- Benefits: Competitive salary, bonus potential, equity gift, and opportunities for professional growth.
- Why this job: Shape the future of data engineering and make a significant impact on the UK housing market.
- Qualifications: Expertise in PySpark, Databricks, and experience with Azure and AWS data platforms.
- Other info: Join a dynamic team with a focus on innovation and long-term growth.
The predicted salary is between 72000 - 108000 £ per year.
I am working with a scaling technology organisation operating across multiple brands within the property and legal technology space. As the business continues to grow and mature its data capability, they are now looking to hire a Principal Data Engineer to define and lead the technical direction of their data platform.
This is a senior, highly influential role sitting above multiple engineering teams. While there is a strong hands-on element, this position is first and foremost about technical leadership, architecture, and setting standards. You will shape how data is ingested, governed, and trusted across the organisation, playing a central role in building a robust and scalable data warehouse and data platform as the business evolves.
The environment spans Azure and AWS, with Databricks at the core of the data stack. You will work closely with senior engineering, product, and business stakeholders to design future-proof data architectures that can scale with increasing data volumes and complexity. As the organisation grows, this role offers a genuine opportunity to architect a modern data warehouse and lake that underpins insight across the UK housing market.
This role is ideal for a principal level engineer who enjoys operating at both strategic and execution levels. Someone comfortable defining architecture and governance with senior leaders, while also rolling up their sleeves to build and optimise complex data pipelines.
What you will be doing:
- Defining and owning the technical strategy for the data platform across ingestion, processing, and analytics
- Designing scalable, secure, and high-performance architectures using Databricks and distributed data systems
- Building and overseeing robust data ingestion pipelines using PySpark, with a strong focus on reliability and accuracy
- Ensuring end-to-end data quality from raw ingestion through to curated datasets used for reporting and analytics
- Establishing and enforcing best practices around data governance, lineage, metadata, and security, including Unity Catalogue
- Anticipating future scaling challenges and ensuring the platform is fit for long-term growth
- Acting as a technical authority across data engineering teams, raising standards and guiding architectural decisions
- Partnering with product, engineering, and commercial leaders to prioritise high impact data initiatives
- Ensuring data platforms are compliant with GDPR and wider regulatory requirements
- Evaluating and introducing new technologies where they add clear value to the data ecosystem
What you will bring:
- Deep expertise in PySpark and distributed data processing at scale
- Strong hands-on experience designing, building, and optimising Databricks based platforms
- Advanced SQL skills including performance optimisation and schema design for analytical workloads
- Experience working across Azure based data warehouses, with some exposure to AWS
- Proven experience defining and leading complex data architectures rather than just implementing them
- Strong understanding of data governance, data quality frameworks, and security best practices
- A track record of influencing senior stakeholders and aligning data strategy with business objectives
- Experience mentoring senior engineers and setting technical standards without formal line management
- A strategic mindset with a clear focus on data reliability, scalability, and long-term business value
If you are a Principal Data Engineer looking for a role where you can genuinely shape a growing data platform and influence technical direction at scale, I would be happy to share further details in confidence.
Principal Data Engineer in Sheffield employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of hearing about opportunities before they even hit the job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving PySpark and Databricks. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex data architectures and governance strategies clearly and confidently. Remember, it’s not just about what you know, but how you communicate it!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Principal Data Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Principal Data Engineer. Highlight your experience with PySpark, Databricks, and any relevant data architecture projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our growing data platform. Let us know what excites you about this opportunity!
Showcase Your Technical Leadership: Since this role is all about technical leadership, share examples of how you've influenced data strategy or mentored other engineers. We love seeing candidates who can lead and inspire teams while also getting hands-on!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Corecom Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in PySpark, Databricks, and the cloud environments mentioned in the job description. Brush up on your advanced SQL skills and be ready to discuss how you've designed and optimised data architectures in the past.
✨Showcase Your Leadership Skills
This role is all about technical leadership, so prepare examples of how you've influenced senior stakeholders and set standards for engineering teams. Think about times when you’ve mentored others or led complex projects, and be ready to share those stories.
✨Understand the Business Context
Familiarise yourself with the property and legal technology space. Be prepared to discuss how your technical decisions can align with business objectives and drive value. This will show that you’re not just a techie but also understand the bigger picture.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers about their data strategy, future challenges, and how they envision the role evolving. This demonstrates your strategic mindset and genuine interest in shaping their data platform.
