At a Glance
- Tasks: Support the Decision Science Team with high-quality data and enhance data pipelines in Databricks.
- Company: Join a well-established financial services organisation with a collaborative culture.
- Benefits: Earn £400 per day, enjoy remote work, and gain valuable experience.
- Other info: Initial 6-month contract with opportunities for hands-on delivery and technical leadership.
- Why this job: Make a real impact on data-driven decision-making while developing your technical skills.
- Qualifications: Experience in Databricks, Python, SQL, and strong stakeholder management skills.
The predicted salary is between 60750 - 74250 £ per year.
Contract Databricks Data Engineer Role - Remote - £400/pd
Please note - this is an Outside IR35 contract role which will require occasional visits to offices in the South of England.
To be eligible for this role you must be based in the UK with the unrestricted right to work in the UK.
We're partnering with a well-established financial services organisation that is seeking an experienced Databricks Data Engineer to join their growing data team on an initial 6-month contract.
This is a predominantly remote role, with occasional visits to the client's offices in the South of England.
Candidates should be available to attend the office on their first day and subsequently as required for key meetings and collaboration sessions.
The Role
Working within a highly collaborative data environment, you'll play a key role in supporting the organisation's Decision Science Team, ensuring they have access to high-quality, reliable data to drive business outcomes.
The position combines hands-on engineering, stakeholder engagement, and technical oversight responsibilities, making it ideal for someone who enjoys both delivering solutions and guiding development best practices.
Key responsibilities will include
- Delivering new data provisioning requests for the Decision Science team
- Supporting and executing User Acceptance Testing (UAT) activities
- Developing, maintaining and enhancing data pipelines within Databricks
- Performing code reviews and promoting engineering best practices
- Troubleshooting data-related issues and implementing improvements
- Collaborating with data scientists, analysts and business stakeholders
- Providing technical oversight and guidance to developers within the team
- Ensuring data quality, performance and governance standards are maintained
- Required experience
- Databricks
- Python
- SQL
- Data engineering and ETL/ELT development
- Data validation and UAT support
- Code review and quality assurance practices
- Working within complex data environments
- Stakeholder management and business-facing communication skills
What's on offer?
- £400 per day Outside IR35
- Initial 6-month contract
- Predominantly remote working
- Opportunity to work with a recognised and established financial services organisation
- High-impact role supporting data-driven decision-making across the business
- Combination of hands-on delivery and technical leadership responsibilities
If you're an experienced Databricks Data Engineer looking for your next contract assignment and enjoy working closely with analytics and decision science teams, we'd love to hear from you.
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Contract Databricks Data Engineer Role - Remote - GBP400/pd employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Databricks Data Engineer Role - Remote - GBP400/pd
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Contract Databricks Data Engineer Role - Remote - GBP400/pd
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Nigel Frank, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Nigel Frank, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Nigel Frank’s attention and show the tangible impact of your work.
How to prepare for a job interview at Nigel Frank
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Nigel Frank.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Nigel Frank.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Nigel Frank.
