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
Layke is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the field of data management. With a focus on employee growth, team members are encouraged to develop their skills through hands-on experience in cutting-edge projects like the Databricks programme. The remote nature of this role, combined with opportunities for occasional travel to Ireland, provides a unique blend of flexibility and engagement with a vibrant client base in the construction sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Engineer (Contract, £550-600 p/d) in Birmingham
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We think you need these skills to ace Senior Databricks Engineer (Contract, £550-600 p/d) in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Layke AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Layke AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
