At a Glance
- Tasks: Join our data team to design and implement Looker semantic layers and robust LookML models.
- Company: Dynamic tech company in London with a collaborative culture.
- Benefits: Competitive day rate, hybrid working, and opportunities for professional growth.
- Other info: Great opportunity for career advancement in a fast-paced environment.
- Why this job: Play a key role in shaping analytics and supporting future AI initiatives.
- Qualifications: Experience with LookML, SQL, and data warehousing concepts required.
We're looking for a Looker Developer to join our collaborative data team and help build a scalable, future-ready data platform. You'll be responsible for designing and implementing Looker semantic layers, developing robust LookML models, optimising query performance through effective caching strategies, and creating intuitive self-service reporting solutions. Working closely with stakeholders across the business, you'll help shape the transition to Looker, ensure data is trusted and accessible, and produce clear documentation to support a seamless handover. This is a fantastic opportunity to play a key role in delivering high-quality analytics and building a data foundation that supports both business growth and future AI initiatives.
Key skills and responsibilities:
- Proven experience building and maintaining semantic layers using LookML.
- Experience using datagroups, caching, and model tuning to manage cloud computing costs.
- Strong ability to write and optimise complex SQL queries.
- Clear understanding of data warehousing concepts and data structures.
- Ability to discuss data requirements with both technical and non-technical teams.
- Experience documenting data models and structures for other users.
- Exposure to Looker's conversational analytics tools or natural language query features.
- Experience using Git for data model version control.
- Experience sharing Looker best practices with internal data peers.
Interested? Please submit your updated CV to Dean Sadler-Parkes at Harvey Nash for immediate consideration.
Looker Developer - LookML - London employer: Harvey Nash Group
Join our dynamic team in London as a Looker Developer, where you'll thrive in a collaborative work culture that values innovation and professional growth. We offer hybrid working arrangements, competitive day rates, and the chance to contribute to cutting-edge data initiatives that drive business success. With a focus on employee development and a supportive environment, this role provides a unique opportunity to enhance your skills while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Looker Developer - LookML - London
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Looker Developer - LookML - London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Looker Developer - LookML - London at Harvey Nash Group, 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!
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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 Harvey Nash Group
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
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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!
