At a Glance
- Tasks: Build and optimise data pipelines using Azure, Databricks, and Python.
- Company: Join a forward-thinking client in the data engineering space.
- Benefits: Competitive daily rate, remote work flexibility, and impactful projects.
- Other info: Opportunity for growth in a dynamic, collaborative environment.
- Why this job: Shape scalable data solutions and enhance analytics capabilities.
- Qualifications: Strong experience in data engineering with Databricks certification.
Layke is working with a new client on a contract requirement for a Senior Data Engineer to support the next stage of a major data platform build. This is a hands-on engineering role focused on building out a modern cloud data environment using Azure, Databricks and Lakehouse architecture. The successful contractor will help shape scalable data pipelines, improve data quality controls, and support analytics/reporting capability across the business. You’ll suit this role if you are comfortable taking ownership in a growing data function, working directly with stakeholders, and turning business requirements into reliable, production-grade data solutions.
You’ll be involved in designing and developing data pipelines and data structures across an Azure/Databricks environment, supporting a wider data and analytics platform build. Typical work will include:
- Building and optimising data pipelines using Azure Data Factory, Python, SQL and Databricks
- Working with Lakehouse / medallion-style architecture
- Developing robust data models and data flows for reporting and analytics
- Working with Azure SQL / MS SQL environments
- Helping improve CI/CD and deployment practices for data engineering workflows
- Supporting dashboarding and analytical outputs, including PowerBI-facing datasets
What we’re looking for:
- Strong commercial experience as a Data Engineer / Senior Data Engineer
- A relevant and current Databricks certification
- Hands-on experience with Databricks and Azure-based data platforms
- Strong SQL skills, ideally across MS SQL / Azure SQL
- Python experience for data engineering, automation and ETL/ELT workflows
- Experience building scalable data platforms, ideally using lakehouse patterns
- Good understanding of data modelling, data quality and governance principles
- Experience with Git and CI/CD ways of working
- Experience in financial services, wealth management, insurance, banking or another regulated environment would be highly beneficial
Contract details:
- Role: Senior Data Engineer
- Contract: Initial contract engagement
- Location: UK remote with occasional Midlands presence possible
- Rate: £550-600 per day
- Start: within 4 weeks
Senior Databricks Engineer (Contract, £550-600 p/d) employer: Layke AI
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge data solutions. With opportunities for professional growth and a focus on employee well-being, this role as a Senior Databricks Engineer allows you to thrive in a supportive environment while working remotely in the UK, with occasional engagement in the Midlands. Embrace the chance to enhance your skills in a rapidly evolving field and be part of a team that prioritises excellence and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Engineer (Contract, £550-600 p/d)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving data pipelines and Azure environments. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in building scalable data platforms or optimising data quality controls. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior Databricks Engineer (Contract, £550-600 p/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Databricks, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your hands-on experience and how you’ve successfully built scalable data pipelines in the past.
Show Off Your Certifications:If you’ve got a Databricks certification, flaunt it! We love seeing that you’ve invested time in your professional development. It shows us you’re serious about your craft and ready to hit the ground running.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Layke AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, and the Lakehouse architecture. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your knowledge during the interview. Being able to discuss specific projects where you've built data pipelines or optimised workflows will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around data quality and governance. Think of examples where you’ve turned business requirements into reliable data solutions. This will show that you can take ownership and deliver results in a growing data function.
✨Familiarise Yourself with CI/CD Practices
Since the role involves improving CI/CD and deployment practices, be ready to talk about your experience with Git and any relevant tools. Share specific instances where you’ve implemented or improved these practices in your past work, as this will highlight your hands-on engineering capabilities.
✨Engage with Stakeholders
Demonstrate your ability to work directly with stakeholders by preparing to discuss how you’ve collaborated with different teams in the past. Highlight your communication skills and how you’ve translated technical jargon into understandable terms for non-technical audiences. This will show that you’re not just a tech whiz but also a team player.
