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 the future of data platforms and make a real difference.
- Qualifications: Strong experience as a Data Engineer 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) in Birmingham employer: LinkedIn
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge data solutions. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to work with advanced technologies in a supportive environment. This remote role allows for flexibility while also providing occasional in-person engagement in the Midlands, fostering a strong sense of community among team members.
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 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 analytics. 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 your technical knowledge. Be ready to discuss your experience with Azure Data Factory, Python, and SQL. We recommend practising common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, we’re always on the lookout for talented individuals like you to join exciting projects in the data space.
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.
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Include specific examples of how you've optimised data pipelines or improved data quality controls in previous roles.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points for easy reading and make sure to address all the key requirements mentioned in the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at LinkedIn
✨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 improve data quality controls and support analytics capabilities.
✨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.
