At a Glance
- Tasks: Lead data engineering projects and mentor a dynamic delivery team.
- Company: Innovative tech firm offering remote work and exciting challenges.
- Benefits: £400/day, outside IR35, with potential for contract extension.
- Other info: Join a collaborative environment with opportunities for growth.
- Why this job: Shape the future of data solutions while working remotely.
- Qualifications: Experience in data engineering and strong leadership skills required.
We're looking for a Lead Data Engineer to take ownership of core data engineering and architecture work while providing technical leadership to a delivery team. This is a hands-on senior role for someone equally comfortable designing scalable data solutions and guiding the engineers building them.
Key Details
- Rate: £400 per day, Outside IR35
- Contract Length: 3 months initially, with a strong intention to extend
- Working Pattern: Remote-first, with occasional travel into London as required
- Location Requirement: Candidates must be UK-based with full right to work in the UK — no sponsorship available
The Role
- Lead core data engineering and architecture initiatives, setting technical direction and best practice
- Bring prior experience leading or mentoring delivery teams in a technical capacity
- Design and build scalable, cloud-native data pipelines and integration workflows
- Apply strong hands-on expertise with dbt across transformation and modelling work
What You'll Bring
- Experience in data engineering, with demonstrable architecture and technical leadership experience
- Direct, hands-on expertise with dbt
- Deep proficiency across the Microsoft data stack, including:
- Microsoft Fabric
- Power BI
- Azure Synapse
- Azure Data Factory
- Working knowledge of Databricks
- Working knowledge of AWS environments (Redshift, RDS)
- Solid grounding in database technologies, API architecture, data warehousing principles, and standard ETL/ELT patterns
- UK-based with full right to work — essential
How to Apply
If you meet the above criteria and are available for a 3-month contract with the potential to extend, please apply with your CV.
Lead Data Engineer £400pd - Outside IR35 in London employer: Vermillion Analytics
Vermillion Analytics is an exceptional employer that prioritises employee growth and development within a collaborative work culture. Located in Ewell, our office-based environment fosters a strong sense of community, allowing you to become a true expert in our software platform while enjoying competitive benefits and a salary of up to £45,000, depending on experience.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer £400pd - Outside IR35 in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Vermillion Analytics before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Vermillion Analytics.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Vermillion Analytics.
We think you need these skills to ace Lead Data Engineer £400pd - Outside IR35 in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Vermillion Analytics, 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 Vermillion Analytics, 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 Vermillion Analytics’s attention and show the tangible impact of your work.
How to prepare for a job interview at Vermillion Analytics
✨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 Vermillion Analytics.
✨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 Vermillion Analytics.
✨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 Vermillion Analytics.
