At a Glance
- Tasks: Lead the consolidation of data into a single Google BigQuery platform.
- Company: Ambitious, data-driven organisation with a focus on innovation.
- Benefits: Competitive day rate, hybrid work model, and potential for contract extension.
- Other info: Opportunity to lead a transformative migration programme.
- Why this job: Make a significant impact by shaping the future of data architecture.
- Qualifications: Extensive experience in data engineering and cloud platforms.
Contract Location: Hybrid - London
Contract Length: Initial 4-week engagement with extension
Day Rate: £700 per day (Outside IR35)
Start Date: ASAP
An ambitious, data-driven organisation is seeking a highly experienced Lead Data Engineer to assess and potentially lead the consolidation of a complex, fragmented data landscape into a single Google BigQuery platform. The business currently operates across multiple technologies and data warehouses, creating challenges around data consistency, reporting accuracy, and stakeholder trust. The objective is to establish a scalable, future-proof architecture that delivers a true single source of truth while supporting an AI-enabled data strategy.
Initially, this will be a four-week exploratory engagement focused on validating the migration approach, identifying risks, and proving technical feasibility. For the right individual, there is potential to lead the wider migration and transformation programme.
The current environment consists of multiple platforms, including:
- Google BigQuery
- Snowflake
Lead Data Engineer (BigQuery) in London employer: develop
Join a forward-thinking, data-driven organisation that values innovation and collaboration in the heart of London. With a hybrid work model, we offer a dynamic work culture that fosters professional growth and encourages you to take ownership of your projects. As a Lead Data Engineer, you'll have the opportunity to shape our data landscape while enjoying competitive compensation and the potential for long-term engagement in a transformative role.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (BigQuery) in London
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Lead Data Engineer (BigQuery) in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Lead Data Engineer (BigQuery) at develop, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at develop.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at develop
✨Show Off Your Data Wizardry
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Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
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Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
