Staff Data Engineer in Belfast

Staff Data Engineer in Belfast

Belfast Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
Bazaarvoice

At a Glance

  • Tasks: Design and build large-scale data systems that power smart shopping experiences.
  • Company: Join Bazaarvoice, a leading tech company transforming consumer connections.
  • Benefits: Enjoy competitive pay, flexible work options, and a vibrant team culture.
  • Why this job: Make a real impact on data-driven decision making in a dynamic environment.
  • Qualifications: 7+ years in data engineering with strong skills in cloud technologies and data orchestration.
  • Other info: Be part of a diverse team committed to innovation and customer success.

The predicted salary is between 36000 - 60000 ÂŁ per year.

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product‑passionate community & 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 & search syndication network. And we make it easy for brands & 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. It’s 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 datavoice, 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.

Who you are:

  • BSc in Computer Science or related discipline.
  • 7+ years experience designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies.
  • Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster.
  • Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL).
  • Knowledge of event‑driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink.
  • Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform.
  • Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc.
  • Strong technical leadership, problem solving skills and analytical thinking.
  • Passion for staying up to date with emerging data engineering technologies and trends.

Why join Bazaarvoice?

  • Customer is key: We see our own success through our customers’ outcomes. We approach every situation with a customer first mindset.
  • Transparency & Integrity Builds Trust: We believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with and trust accelerate our collective performance.
  • Passionate Pursuit of Performance: Our energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission.
  • Innovation over Imitation: We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage.
  • Stronger Together: We bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community.

Commitment to diversity and inclusion: Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

Please note: A basic background check will be required for the successful candidate.

Staff Data Engineer in Belfast employer: Bazaarvoice

At Bazaarvoice, we pride ourselves on being a Great Place to Work, fostering a vibrant culture that values transparency, integrity, and innovation. Our Austin headquarters offers a dynamic environment where passionate individuals can thrive, with ample opportunities for professional growth and collaboration across diverse teams. Join us to be part of a mission-driven company that champions creativity and embraces cutting-edge technology in the data engineering space.
Bazaarvoice

Contact Detail:

Bazaarvoice Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Engineer in Belfast

✨Tip Number 1

Network like a pro! Reach out to current employees at Bazaarvoice on LinkedIn. Ask them about their experiences and any tips they might have for your application. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data systems, pipelines, and the tools mentioned in the job description. Practice coding challenges or system design questions to show off your expertise.

✨Tip Number 3

Show your passion for data engineering! During interviews, share your thoughts on emerging technologies and trends. Let them know how you stay updated and how you can bring that knowledge to Bazaarvoice.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Bazaarvoice team.

We think you need these skills to ace Staff Data Engineer in Belfast

Data Engineering
Distributed Data Systems
Data Pipelines
Data Orchestration Tools (e.g. Apache Airflow, Dagster)
Big Data Storage and Processing Technologies (e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs)
Event-Driven Architectures
Streaming Technologies (e.g. Apache Kafka, Kafka Streams, Apache Flink)
Public Cloud Environments (e.g. AWS, GCP, Azure, Terraform)
Software Engineering Practices (e.g. testing, CI/CD, agile development, git/version control, containers)
Technical Leadership
Problem Solving Skills
Analytical Thinking
Adaptability to Emerging Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Staff Data Engineer role. Highlight your experience with data systems, pipelines, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to Bazaarvoice's mission. Be sure to mention specific projects or experiences that showcase your expertise.

Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with tools like Apache Airflow, Spark, and cloud environments. We love seeing candidates who are up-to-date with emerging technologies!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can't wait to hear from you!

How to prepare for a job interview at Bazaarvoice

✨Know Your Data Tools

Familiarise yourself with the data orchestration tools mentioned in the job description, like Apache Airflow and Dagster. Be ready to discuss your experience with these tools and how you've used them to build scalable data pipelines.

✨Showcase Your Problem-Solving Skills

Prepare examples of challenges you've faced in previous roles related to data systems. Highlight how you approached these problems, the solutions you implemented, and the impact they had on your team or project.

✨Understand the Company’s Mission

Research Bazaarvoice's mission and values. Be prepared to explain how your skills and experiences align with their goal of creating smart shopping experiences and closing the gap between brands and consumers.

✨Emphasise Collaboration

Since the role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with others. Discuss how you communicated data requirements and implemented solutions together.

Staff Data Engineer in Belfast
Bazaarvoice
Location: Belfast

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