At a Glance
- Tasks: Build and optimise data pipelines using Azure, Databricks, and Python.
- Company: Join a dynamic team focused on modern cloud data solutions.
- Benefits: Competitive daily rate, remote work flexibility, and impactful projects.
- Other info: Opportunity for career growth in a fast-paced, innovative sector.
- Why this job: Shape the future of data engineering in a growing environment.
- Qualifications: Strong experience with Databricks, Azure, SQL, and Python required.
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) in Birmingham employer: Layke AI
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the growth of a cutting-edge data platform. With opportunities for professional development 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 across the UK, with occasional engagement in the Midlands. Embrace the chance to shape scalable data solutions and enhance your skills in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Engineer (Contract, £550-600 p/d) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and Azure environments. This gives potential employers a taste of what you can do and sets 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 about their job search.
We think you need these skills to ace Senior Databricks Engineer (Contract, £550-600 p/d) in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects that showcase your skills in building scalable data pipelines. We want to see how you can contribute to our data platform build!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Provide examples of your hands-on experience with Python, SQL, and CI/CD practices. This will help us understand your practical knowledge and how you can fit into our team.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to your experience and achievements.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts!
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 of building data pipelines and optimising workflows during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with scalable data platforms and CI/CD practices. Be ready to discuss how you've turned business requirements into reliable data solutions, especially in regulated environments like financial services.
✨Engage with Stakeholders
Since this role involves working directly with stakeholders, think about how you can demonstrate your communication skills. Prepare to discuss how you've collaborated with different teams to shape data solutions and improve data quality controls.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges the team is facing with their data platform or how they envision the future of their data architecture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
