At a Glance
- Tasks: Join the ZAP team to build and maintain robust data pipelines and enhance customer support tools.
- Company: Zendesk, a leader in customer service software with a collaborative and inclusive culture.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on customer experience while working with cutting-edge data technologies.
- Qualifications: 8+ years in data engineering, strong SQL skills, and experience with cloud databases.
The predicted salary is between 70000 - 90000 £ per year.
The ‘Zendesk Analytics Prototyping’ (ZAP) team is looking for an experienced Staff Data Engineer to support the team’s charter to accelerate CRM measurements and insights, and help promote a data-centric approach to improving customer support tools and operations. To realize that mission, we build and maintain robust, fine-grained, and contextually rich datasets, providing a foundation for developing insights that help enhance Zendesk’s support operations.
The role will be responsible for closely partnering with Software Development Engineers and Business Intelligence Engineers to build high quality data pipelines and manage the team’s data lake. You’ll work in a collaborative environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated datasets, applying standard architectural & data modeling practices. You will be primarily developing Data Warehouse Solutions in Snowflake using technologies such as dbt, Airflow, Terraform.
What you’ll be doing:
- Collaborate with team members and internal stakeholders to understand business requirements, define successful analytics outcomes, and design data models.
- Develop, automate, and maintain scalable ELT pipelines in our Data Warehouse, ensuring reliable business reporting.
- Design & build ELT based data models using SQL & DBT.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery.
- Work with data and analytics experts to strive for greater functionality in our data systems.
What you bring to the role:
Basic Qualifications:
- 8+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.
- Extensive experience with SQL, ideally in the context of data modeling and analysis.
- Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.
- Proficiency in a programming language such as Python, Go, Java, or Scala.
- Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with processes supporting data transformation, data structures, metadata, dependency, ensuring efficient data processing performance and workload management.
- Excellent communication and collaboration skills.
- Thrive in ambiguous situations, possesses a proactive problem-solving attitude.
Preferred Qualifications:
- Experience with BigQuery, Snowflake, or similar cloud warehouses.
- Familiarity with AI tools and techniques that could be applied to data analysis and data transformation tasks.
- Completed projects with dbt.
- Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.
Our Data Stack:
- ELT (Snowflake, dbt, Airflow, Kafka)
- BI (Tableau, Looker)
- Infrastructure (AWS, Kubernetes, Terraform, GitHub Actions)
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Staff Data Engineer in London employer: Zendesk
Zendesk is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to thrive in both remote and in-office settings. With a strong focus on professional growth, the company offers opportunities to work with cutting-edge technologies and engage in meaningful projects that enhance customer support tools. Employees benefit from a flexible hybrid work model, ensuring a healthy work-life balance while contributing to a mission-driven team dedicated to transforming customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving data pipelines and ELT processes. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Be ready to discuss your experience with tools like dbt and Snowflake, as well as how you’ve tackled challenges in past roles.
✨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 our team.
We think you need these skills to ace Staff Data Engineer in London
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 pipelines, SQL, and any relevant technologies like dbt and Snowflake. 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 our ZAP team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Collaboration Skills:Since this role involves working closely with other engineers and stakeholders, make sure to highlight your collaboration skills. Share examples of how you’ve successfully worked in teams to achieve common goals in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Zendesk
✨Know Your Data Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Snowflake, dbt, and Airflow. Be ready to discuss your hands-on experience with these tools and how you've used them to build data pipelines or models in previous roles.
✨Showcase Collaboration Skills
Since this role involves working closely with Software Development Engineers and Business Intelligence Engineers, prepare examples of past collaborations. Highlight how you’ve successfully partnered with others to achieve common goals, especially in ambiguous situations.
✨Prepare for Technical Questions
Brush up on your SQL skills and be ready to solve problems on the spot. You might be asked to design a data model or optimise an ELT pipeline. Practising these scenarios beforehand will help you feel more confident during the interview.
✨Understand the Business Impact
Be prepared to discuss how your work as a Data Engineer can directly impact customer support operations. Think about how data insights can improve processes and outcomes, and be ready to share your thoughts on this during the interview.
