At a Glance
- Tasks: Design and build large-scale data systems that power our products and services.
- Company: Bazaarvoice, a leader in smart shopping experiences with a global presence.
- Benefits: Great workplace culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on software engineering best practices.
- Why this job: Join us to shape the future of data and make a real impact.
- Qualifications: Strong data engineering skills and a passion for cutting-edge technology.
The predicted salary is between 60000 - 80000 £ per year.
At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community and enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social and search syndication network. We make it easy for brands and retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.
The problem we are trying to solve: Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.
Our brand promise: closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. Its official: Bazaarvoice is a Great Place to Work in the US, Australia, India, Lithuania, France, Germany and the UK!
Who we want: Are you ready to combine your talent for crafting solid data systems and enthusiasm for cutting-edge technology to harness the power of data at Bazaarvoice? We're looking for a strong data engineer who thrives on building large-scale, robust, distributed data systems and pipelines, who understands the importance of good software engineering practices to get it done. If you're excited about shaping the future of data at Bazaarvoice, come join us.
How you will make an impact: As a key member of the Insights team, you'll be tasked with designing, building, and supporting large-scale, distributed data systems that drive our organization's data infrastructure forward, and power our products and services. Your responsibilities will include developing data pipelines, optimizing data storage and retrieval processes, and ensuring the reliability and scalability of our data architecture. You'll collaborate closely with cross-functional teams to understand data requirements, implement solutions, and troubleshoot issues as they arise. You'll also play a pivotal role in advocating for and implementing software engineering best practices to ensure the efficiency, maintainability, and robustness of our data systems. This role offers an exciting opportunity to work on cutting-edge technology and contribute to shaping the future of data-driven decision making within our organization.
Staff Data Engineer TLNT1_NI in Belfast employer: IrishJobs
Bazaarvoice is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to harness their talents in crafting robust data systems. With a commitment to employee growth and development, we offer numerous opportunities for professional advancement while working with cutting-edge technology in a dynamic environment. Our global presence, including offices in vibrant locations like Austin, Texas, ensures a diverse and inclusive workplace that values creativity and real connections between brands and consumers.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer TLNT1_NI in Belfast
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We think you need these skills to ace Staff Data Engineer TLNT1_NI in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at IrishJobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
